Rung 46: the output brought in — units that came in running with a given p_init ramp from it into the first snapshot¶
One rung of the PyPSA corpus: the file pypsa.yaml projected onto what this network builds, attached to that network, and held to what PyPSA solves it to.
✔ Verified against pypsa 1.3.0 — objective 101294.125 on both sides; structure ≠
CVaR0 vs 1 — the file declares the tail's average on every run; PyPSA adds it only under a risk preference, and without one the objective prices it at zero and no row reads it;CVaR-a0 vs 1 — the file declares each scenario's excess on every run; PyPSA adds it only under a risk preference, and without one no row reads it;CVaR-theta0 vs 1 — the file declares the tail's start on every run; PyPSA adds it only under a risk preference, and without one no row reads it; size ✔ 200 rows · ≠ 66 vs 69 columns · ✔ 387 nonzeros; duals — integer model, no duals; model for model: 36 blocks equal, 0 documented splits, 7 recorded deviations.
Rows and columns, PyPSA against specsolve, name for name
| row | PyPSA | specsolve |
|---|---|---|
Bus-nodal_balance |
12 | 12 |
Generator-com-ext-p-lower |
4 | 4 |
Generator-com-ext-p-lower-nonneg |
4 | 4 |
Generator-com-ext-p-upper-bigM |
4 | 4 |
Generator-com-ext-p-upper-cap |
4 | 4 |
Generator-com-p-lower |
4 | 4 |
Generator-com-p-upper |
4 | 4 |
Generator-com-transition-shut-down |
8 | 8 |
Generator-com-transition-start-up |
8 | 8 |
Generator-ext-p-lower |
4 | 4 |
Generator-ext-p-upper |
4 | 4 |
Generator-ext-p_nom-lower |
2 | 2 |
Generator-ext-p_nom-upper |
2 | 2 |
Generator-fix-p-lower |
16 | 16 |
Generator-fix-p-upper |
16 | 16 |
Generator-p-ramp_limit_down |
12 | 12 |
Generator-p-ramp_limit_down-run-bigM |
4 | 4 |
Generator-p-ramp_limit_down-shut-bigM |
4 | 4 |
Generator-p-ramp_limit_up |
12 | 12 |
Generator-p-ramp_limit_up-run-bigM |
4 | 4 |
Generator-p-ramp_limit_up-start-bigM |
4 | 4 |
Generator-shut_down-p-fixed-upper |
8 | 8 |
Generator-start_up-p-fixed-upper |
8 | 8 |
Generator-status-p-fixed-upper |
8 | 8 |
Link-fix-p-lower |
8 | 8 |
Link-fix-p-upper |
8 | 8 |
Link-p-ramp_limit_down |
4 | 4 |
Link-p-ramp_limit_up |
4 | 4 |
Process-fix-p-lower |
4 | 4 |
Process-fix-p-upper |
4 | 4 |
Process-p-ramp_limit_down |
4 | 4 |
Process-p-ramp_limit_up |
4 | 4 |
| column | PyPSA | specsolve |
|---|---|---|
CVaR |
0 | ≠ 1 |
CVaR-a |
0 | ≠ 1 |
CVaR-theta |
0 | ≠ 1 |
Generator-p |
28 | 28 |
Generator-p_nom |
2 | 2 |
Generator-shut_down |
8 | 8 |
Generator-start_up |
8 | 8 |
Generator-status |
8 | 8 |
Link-p |
8 | 8 |
Process-p |
4 | 4 |
The model¶
The same model, as math
A plain n.optimize(), and its multi-period and stochastic classes, in one file. Every second-stage quantity spans a scenario (a future dispatch is chosen in) and every asset stands in the investment periods its build year and lifetime span. A parameter spans scenario exactly when PyPSA reads it per scenario. Capacity is chosen once, before the future is known, and paid once per active period at its cost in expectation over the scenarios; operation is the expectation over the scenarios' weights, with a share priced at the tail through the CVaR rows, which stand only where that share is positive. A plain run feeds one scenario, one period, all-active masks and unit weights, and the model collapses to the standard one. A security-constrained run copies each branch flow limit once per outage in an outage set that a plain run leaves empty. Which snapshots an asset is active in, a scenario's weight, and the outage factors are data prep.
Sets¶
| Symbol | Meaning |
|---|---|
| \(\Xi\) | index \(\xi\) — scenario — the futures dispatch is chosen in, each with a weight |
| \(\mathcal{T}\) | index \(t\) — snapshot with \(\mathrm{snapshot\_period}: \mathcal{T} \to \mathcal{Y}\) — dispatch periods |
| \(\mathcal{N}\) | index \(n\) — bus with \(\mathrm{Generator\_bus}: \mathcal{G} \to \mathcal{N},\ \mathrm{Link\_bus0}: \mathcal{L} \to \mathcal{N},\ \mathrm{Link\_output\_bus}: \mathcal{O} \to \mathcal{N},\ \mathrm{Process\_output\_bus}: \mathcal{R} \to \mathcal{N},\ \mathrm{Load\_bus}: \mathcal{D} \to \mathcal{N}\) — network nodes |
| \(\mathcal{G}\) | index \(g\) — generator with \(\mathrm{Generator\_bus}: \mathcal{G} \to \mathcal{N}\) — generating units, each on one bus |
| \(\mathcal{L}\) | index \(l\) — link with \(\mathrm{Link\_bus0}: \mathcal{L} \to \mathcal{N},\ \mathrm{Link\_output\_link}: \mathcal{O} \to \mathcal{L}\) — controllable connections, each from one bus to the buses it delivers to |
| \(\mathcal{O}\) | index \(o\) — link_output with \(\mathrm{Link\_output\_link}: \mathcal{O} \to \mathcal{L},\ \mathrm{Link\_output\_bus}: \mathcal{O} \to \mathcal{N}\) — a link's output ports, one label per port a link declares — PyPSA's bus1, bus2, … columns read long, so a link of any number of output ports is one term in the balance, data prep |
| \(\mathcal{J}\) | index \(j\) — process with \(\mathrm{Process\_output\_process}: \mathcal{R} \to \mathcal{J}\) — generalized multi-port converters, each with an internal power that every port draws or delivers at its own rate |
| \(\mathcal{R}\) | index \(r\) — process_output with \(\mathrm{Process\_output\_process}: \mathcal{R} \to \mathcal{J},\ \mathrm{Process\_output\_bus}: \mathcal{R} \to \mathcal{N}\) — a process's ports, one label per port a process declares — PyPSA's bus0, bus1, … each carry a signed rate, so a process of any number of ports is one term in the balance, data prep |
| \(\mathcal{D}\) | index \(d\) — load with \(\mathrm{Load\_bus}: \mathcal{D} \to \mathcal{N}\) — demands, each on one bus |
| \(\mathcal{Y}\) | index \(y\) — period with \(\mathrm{snapshot\_period}: \mathcal{T} \to \mathcal{Y}\) — investment periods — PyPSA's investment_periods |
Parameters¶
| Symbol | Meaning |
|---|---|
| \(\mathrm{w}\) | snapshot_weightings_objective over \(\mathcal{T}\) — PyPSA's snapshot_weightings.objective — hours a snapshot stands for in the cost |
| \(\mathrm{p}^{\mathrm{nom}}\) | Generator_p_nom over \(\Xi \times \mathcal{G}\) — nominal power |
| \(\mathrm{ext}\) | Generator_p_nom_extendable over \(\mathcal{G}\) — whether the nominal power is a decision |
| \(\underline{\mathrm{p}}\) | Generator_p_min_pu over \(\Xi \times \mathcal{T} \times \mathcal{G}\) — least output, per unit of nominal power |
| \(\overline{\mathrm{p}}\) | Generator_p_max_pu over \(\Xi \times \mathcal{T} \times \mathcal{G}\) — most output, per unit of nominal power — an availability profile |
| \(\mathrm{c}\) | Generator_marginal_cost over \(\Xi \times \mathcal{T} \times \mathcal{G}\) — cost of one unit of output |
| \(\mathrm{c}^{(2)}\) | Generator_marginal_cost_quadratic over \(\Xi \times \mathcal{T} \times \mathcal{G}\) — cost of the square of one unit of output |
| \(\mathrm{sgn}\) | Generator_sign over \(\mathcal{G}\) — the sign output enters its bus's balance with — PyPSA's sign, 1 unless given, -1 for a unit that draws power. PyPSA refuses one that differs by scenario (consistency.py:1187) |
| \(\mathrm{com}\) | Generator_committable over \(\mathcal{G}\) — whether output is gated by an on/off status decision |
| \(\mathrm{ru}\) | Generator_ramp_limit_up over \(\Xi \times \mathcal{T} \times \mathcal{G}\) — most a generator may raise its output between snapshots, per unit of nominal power; no value means no limit — read at the later of the two snapshots, so the limit may change over time |
| \(\mathrm{rd}\) | Generator_ramp_limit_down over \(\Xi \times \mathcal{T} \times \mathcal{G}\) — most a generator may lower its output between snapshots, per unit of nominal power; no value means no limit — read at the later of the two snapshots, so the limit may change over time |
| \(\mathrm{ru}^{\mathrm{up}}\) | Generator_ramp_limit_start_up over \(\Xi \times \mathcal{G}\) — most output in the snapshot a unit starts, per unit of nominal power |
| \(\mathrm{rd}^{\mathrm{dn}}\) | Generator_ramp_limit_shut_down over \(\Xi \times \mathcal{G}\) — most output in the snapshot before a unit stops, per unit of nominal power |
| \(\mathrm{u}^{0}\) | Generator_status_initial over \(\Xi \times \mathcal{G}\) — one where the unit was on before the first snapshot, zero where off — PyPSA's up_time_before > 0, data prep |
| \(\mathrm{p}^{0}\) | Generator_p_init over \(\Xi \times \mathcal{G}\) — the output a unit brought into the horizon — PyPSA's p_init, read only where the unit came in running; no value means it is unknown, so the unit carries no ramp row at the first snapshot |
| \(\mathrm{c}^{\mathrm{up}}\) | Generator_start_up_cost over \(\Xi \times \mathcal{G}\) — cost of one start |
| \(\mathrm{c}^{\mathrm{dn}}\) | Generator_shut_down_cost over \(\Xi \times \mathcal{G}\) — cost of one stop |
| \(\mathrm{c}^{\mathrm{on}}\) | Generator_stand_by_cost over \(\Xi \times \mathcal{T} \times \mathcal{G}\) — cost of one snapshot spent on |
| \(\mathrm{p}^{\mathrm{mod}}\) | Generator_p_nom_mod over \(\mathcal{G}\) — the module size a build comes in whole numbers of; no value means the build is continuous |
| \(\mathrm{N}^{\mathrm{fix}}\) | Generator_modules_installed over \(\Xi \times \mathcal{G}\) — how many whole modules a committable build has in place: Generator_p_nom / Generator_p_nom_mod where a fixed build is modular, one where it is not, data prep. PyPSA refuses a fixed modular build whose nominal power is not a whole number of modules |
| \(\mathrm{M}\) | Generator_big_m over \(\Xi \times \mathcal{G}\) — a bound safely above any feasible output — the build cap at full availability, data prep |
| \(\mathrm{nonneg}\) | Generator_p_min_pu_nonneg over \(\mathcal{G}\) — true where none of the generator's own minimums-per-unit is negative — PyPSA's per-unit (p_min_pu >= 0).all() over every snapshot and scenario, data prep |
| \(\mathrm{ru}^{f}\) | Link_ramp_limit_up over \(\Xi \times \mathcal{T} \times \mathcal{L}\) — most a link may raise its flow between snapshots, per unit of nominal power; no value means no limit — read at the later of the two snapshots, so the limit may change over time |
| \(\mathrm{rd}^{f}\) | Link_ramp_limit_down over \(\Xi \times \mathcal{T} \times \mathcal{L}\) — most a link may lower its flow between snapshots, per unit of nominal power; no value means no limit — read at the later of the two snapshots, so the limit may change over time |
| \(\mathrm{f}^{\mathrm{nom}}\) | Link_p_nom over \(\Xi \times \mathcal{L}\) — nominal power |
| \(\mathrm{ext}^{f}\) | Link_p_nom_extendable over \(\mathcal{L}\) — whether the nominal power is a decision |
| \(\underline{\mathrm{f}}\) | Link_p_min_pu over \(\Xi \times \mathcal{T} \times \mathcal{L}\) — least flow, per unit of nominal power — negative for a link that carries both ways |
| \(\overline{\mathrm{f}}\) | Link_p_max_pu over \(\Xi \times \mathcal{T} \times \mathcal{L}\) — most flow, per unit of nominal power |
| \(\eta\) | Link_efficiency over \(\Xi \times \mathcal{T} \times \mathcal{O}\) — share of the flow that arrives at an output port, PyPSA's efficiency, efficiency2, … read long — negative where that port consumes rather than delivers. Read at the snapshot the flow arrives, so a delayed port delivers at its arrival snapshot's efficiency (constraints.py:1522) |
| \(\mathrm{d}^{f}\) | Link_output_delay over \(\Xi \times \mathcal{O}\) — snapshots a port's delivery lags its link's flow — PyPSA's delay, delay2, … read long, in snapshot_weightings.generators units, which the file states as whole snapshots; zero for a port that delivers at once. Each scenario takes its own. PyPSA 1.3.0 groups the ports by delay over all scenarios and shifts each group in every one, so a delay that differs by scenario delivers the flow twice (constraints.py:1269-1276, PyPSA/PyPSA#1941) |
| \(\mathrm{cyc}^{f}\) | Link_output_cyclic_delay over \(\Xi \times \mathcal{O}\) — whether a delayed port's flow wraps from the end of its investment period — PyPSA's cyclic_delay, cyclic_delay2, …; where it does not, the flow still in transit at each period's first snapshots is lost. Each scenario takes its own, as the delay |
| \(\mathrm{c}^{f}\) | Link_marginal_cost over \(\Xi \times \mathcal{T} \times \mathcal{L}\) — cost of one unit of flow |
| \(\mathrm{c}^{f,(2)}\) | Link_marginal_cost_quadratic over \(\Xi \times \mathcal{T} \times \mathcal{L}\) — cost of the square of one unit of flow |
| \(\mathrm{com}^{f}\) | Link_committable over \(\mathcal{L}\) — whether flow is gated by an on/off status decision |
| \(\mathrm{ru}^{f,\mathrm{up}}\) | Link_ramp_limit_start_up over \(\Xi \times \mathcal{L}\) — most flow in the snapshot a link starts, per unit of nominal power |
| \(\mathrm{rd}^{f,\mathrm{dn}}\) | Link_ramp_limit_shut_down over \(\Xi \times \mathcal{L}\) — most flow in the snapshot before a link stops, per unit of nominal power |
| \(\mathrm{u}^{f,0}\) | Link_status_initial over \(\Xi \times \mathcal{L}\) — one where the link was on before the first snapshot, zero where off — PyPSA's up_time_before > 0, data prep |
| \(\mathrm{f}^{0}\) | Link_p_init over \(\Xi \times \mathcal{L}\) — the flow a link brought into the horizon — PyPSA's p_init, read only where the link came in running; no value means it is unknown, so the link carries no ramp row at the first snapshot |
| \(\mathrm{f}^{\mathrm{mod}}\) | Link_p_nom_mod over \(\mathcal{L}\) — the module size a build comes in whole numbers of; no value means the build is continuous |
| \(\mathrm{z}^{\mathrm{nom}}\) | Process_p_nom over \(\Xi \times \mathcal{J}\) — nominal internal power |
| \(\mathrm{ext}^{z}\) | Process_p_nom_extendable over \(\mathcal{J}\) — whether the nominal internal power is a decision |
| \(\underline{\mathrm{z}}\) | Process_p_min_pu over \(\Xi \times \mathcal{T} \times \mathcal{J}\) — least internal power, per unit of nominal power — negative for a process that runs both ways |
| \(\overline{\mathrm{z}}\) | Process_p_max_pu over \(\Xi \times \mathcal{T} \times \mathcal{J}\) — most internal power, per unit of nominal power |
| \(\alpha\) | Process_rate over \(\Xi \times \mathcal{T} \times \mathcal{R}\) — the energy a port draws or delivers per unit of internal power, PyPSA's rate0, rate1, … read long — negative where the port withdraws, positive where it injects; a link is a process whose bus0 rate is minus one and whose output rates are its efficiencies. Read at the snapshot the transfer arrives, so a delayed port transfers at its arrival snapshot's rate (constraints.py:1522) |
| \(\mathrm{d}^{z}\) | Process_output_delay over \(\Xi \times \mathcal{R}\) — snapshots a port's transfer lags its process's internal power — PyPSA's delay0, delay1, … read long, in snapshot_weightings.generators units, which the file states as whole snapshots; zero for a port that transfers at once. Each scenario takes its own, as a link's |
| \(\mathrm{cyc}^{z}\) | Process_output_cyclic_delay over \(\Xi \times \mathcal{R}\) — whether a delayed port's transfer wraps from the end of its investment period — PyPSA's cyclic_delay0, cyclic_delay1, …; where it does not, the energy still in transit at each period's first snapshots is lost. Each scenario takes its own, as the delay |
| \(\mathrm{c}^{z}\) | Process_marginal_cost over \(\Xi \times \mathcal{T} \times \mathcal{J}\) — cost of one unit of internal power |
| \(\mathrm{c}^{z,(2)}\) | Process_marginal_cost_quadratic over \(\Xi \times \mathcal{T} \times \mathcal{J}\) — cost of the square of one unit of internal power |
| \(\mathrm{ru}^{z}\) | Process_ramp_limit_up over \(\Xi \times \mathcal{T} \times \mathcal{J}\) — most a process may raise its internal power between snapshots, per unit of nominal power; no value means no limit — read at the later of the two snapshots, so the limit may change over time |
| \(\mathrm{rd}^{z}\) | Process_ramp_limit_down over \(\Xi \times \mathcal{T} \times \mathcal{J}\) — most a process may lower its internal power between snapshots, per unit of nominal power; no value means no limit — read at the later of the two snapshots, so the limit may change over time |
| \(\mathrm{com}^{z}\) | Process_committable over \(\mathcal{J}\) — whether internal power is gated by an on/off status decision |
| \(\mathrm{ru}^{z,\mathrm{up}}\) | Process_ramp_limit_start_up over \(\Xi \times \mathcal{J}\) — most internal power in the snapshot a process starts, per unit of nominal power |
| \(\mathrm{rd}^{z,\mathrm{dn}}\) | Process_ramp_limit_shut_down over \(\Xi \times \mathcal{J}\) — most internal power in the snapshot before a process stops, per unit of nominal power |
| \(\mathrm{u}^{z,0}\) | Process_status_initial over \(\Xi \times \mathcal{J}\) — one where the process was on before the first snapshot, zero where off — PyPSA's up_time_before > 0, data prep |
| \(\mathrm{z}^{0}\) | Process_p_init over \(\Xi \times \mathcal{J}\) — the internal power a process brought into the horizon — PyPSA's p_init, read only where the process came in running; no value means it is unknown, so the process carries no ramp row at the first snapshot |
| \(\mathrm{z}^{\mathrm{mod}}\) | Process_p_nom_mod over \(\mathcal{J}\) — the module size a build comes in whole numbers of; no value means the build is continuous |
| \(\mathrm{load}\) | Load_p_set over \(\Xi \times \mathcal{T} \times \mathcal{D}\) — demand |
| \(\mathrm{sgn}^{\mathrm{load}}\) | Load_sign over \(\mathcal{D}\) — the sign a load's demand enters its bus's balance with — PyPSA's sign, -1 unless given, 1 for a load that feeds its bus. PyPSA refuses one that differs by scenario (consistency.py:1187) |
| \(\mathrm{on}^{\mathrm{load}}\) | Load_active over \(\mathcal{D}\) — whether a load stands in the model — PyPSA's active. A load has no build year and no lifetime, so the flag holds in every snapshot. PyPSA refuses one that differs by scenario (consistency.py:1195) |
| \(\pi\) | scenario_weight over \(\Xi\) — PyPSA's scenario_weightings.weight — the probability of a future |
| \(\omega\) | CVaR_omega (scalar) — PyPSA's risk_preference['omega'] — the share of operating cost priced at the tail rather than in expectation; zero recovers the risk-neutral model |
| \(\mathrm{w}^{y}\) | period_weight_objective over \(\mathcal{Y}\) — PyPSA's investment_period_weightings.objective — what a period's cost weighs |
| \(\mathrm{on}\) | Generator_active over \(\mathcal{T} \times \mathcal{G}\) — whether a generator stands in a snapshot's period — PyPSA's active, from build year and lifetime, data prep |
| \(\mathrm{on}^{f}\) | Link_active over \(\mathcal{T} \times \mathcal{L}\) — whether a link stands in a snapshot's period — PyPSA's active, data prep |
| \(\mathrm{on}^{z}\) | Process_active over \(\mathcal{T} \times \mathcal{J}\) — whether a process stands in a snapshot's period — PyPSA's active, data prep |
| \(\mathrm{W}\) | Generator_capital_weight over \(\mathcal{G}\) — the sum of period weights a generator stands in — PyPSA's active * period_weighting, summed, data prep |
| \(\underline{\mathrm{p}}^{\mathrm{nom}}\) | Generator_p_nom_min over \(\Xi \times \mathcal{G}\) — least nominal power an extendable generator may be built at |
| \(\overline{\mathrm{p}}^{\mathrm{nom}}\) | Generator_p_nom_max over \(\Xi \times \mathcal{G}\) — most nominal power an extendable generator may be built at |
| \(\mathrm{c}^{\mathrm{cap}}\) | Generator_capital_cost over \(\Xi \times \mathcal{G}\) — cost of one unit of nominal power — PyPSA's capital_cost, periodized as an annuity in data prep |
Variables¶
| Symbol | Meaning |
|---|---|
| \(p\) | Generator_p over \(\Xi \times \mathcal{T} \times \mathcal{G}\) — Generator-p — output of a generator in a snapshot |
| \(f\) | Link_p over \(\Xi \times \mathcal{T} \times \mathcal{L}\) — Link-p — PyPSA's p0, the flow measured at the Link_bus0 end: a positive value withdraws there and injects at every bus the link's output ports deliver to |
| \(z\) | Process_p over \(\Xi \times \mathcal{T} \times \mathcal{J}\) — Process-p — PyPSA's internal power p: a positive value drives every port at its own rate, withdrawing where the rate is negative and injecting where it is positive |
| \(u\) | Generator_status over \(\Xi \times \mathcal{T} \times \mathcal{G}\) — Generator-status — how much of a committable unit is on: an integer the rows below cap at one, or at the module count where the build is modular |
| \(\mathit{up}\) | Generator_start_up over \(\Xi \times \mathcal{T} \times \mathcal{G}\) — Generator-start_up — how much of a committable unit turns on this snapshot, capped as the status is |
| \(\mathit{dn}\) | Generator_shut_down over \(\Xi \times \mathcal{T} \times \mathcal{G}\) — Generator-shut_down — how much of a committable unit turns off this snapshot, capped as the status is |
| \(P\) | Generator_p_nom_ext over \(\mathcal{G}\) — Generator-p_nom — nominal power where it is a decision; the parameter of the same PyPSA name carries the fixed regime |
| \(a\) | CVaR_a over \(\Xi\) — CVaR-a — how far a scenario's operating cost exceeds the tail's start; nothing where it does not |
| \(\theta\) | CVaR_theta (scalar) — CVaR-theta — where the tail starts, the value at risk |
| \(CVaR\) | CVaR (scalar) — CVaR — the tail's average cost, what the objective prices at omega |
| \(u^{f}\) | Link_status over \(\Xi \times \mathcal{T} \times \mathcal{L}\) — Link-status — how much of a committable link is on: an integer the rows below cap at one, or at the module count where the build is modular |
| \(u^{z}\) | Process_status over \(\Xi \times \mathcal{T} \times \mathcal{J}\) — Process-status — how much of a committable process is on: an integer the rows below cap at one, or at the module count where the build is modular |
| \(F\) | Link_p_nom_ext over \(\mathcal{L}\) — Link-p_nom — nominal power where it is a decision; the parameter of the same PyPSA name carries the fixed regime |
| \(Z\) | Process_p_nom_ext over \(\mathcal{J}\) — Process-p_nom — nominal internal power where it is a decision; the parameter of the same PyPSA name carries the fixed regime |
Definitions¶
| Symbol | Meaning |
|---|---|
| \(\mathit{Generator\_previous\_status}\) | Generator_previous_status over \(\Xi \times \mathcal{T} \times \mathcal{G}\) — the commitment state a generator carries into a snapshot — the state it brought into the horizon at the first, the previous snapshot's after that |
| \(\mathit{Generator\_previous\_p}\) | Generator_previous_p over \(\Xi \times \mathcal{T} \times \mathcal{G}\) — the output a generator carries into a snapshot — at the first, the p_init it brought in where it came in running and nothing where it came in off; the previous snapshot's after that |
| \(\mathrm{Generator\_ramp\_up\_rate}\) | Generator_ramp_up_rate over \(\Xi \times \mathcal{T} \times \mathcal{G}\) — the ramp limit a unit's up row reads — PyPSA's ramp_limit_up, or the full build where it has none, since a start-up ramp alone builds the row |
| \(\mathrm{Generator\_ramp\_down\_rate}\) | Generator_ramp_down_rate over \(\Xi \times \mathcal{T} \times \mathcal{G}\) — the ramp limit a unit's down row reads — PyPSA's ramp_limit_down, or the full build where it has none, since a shut-down ramp alone builds the row |
| \(\mathrm{Generator\_start\_up\_rate}\) | Generator_start_up_rate over \(\Xi \times \mathcal{G}\) — the start-up ramp a unit's up row reads — PyPSA's ramp_limit_start_up, or the full build where it has none |
| \(\mathrm{Generator\_shut\_down\_rate}\) | Generator_shut_down_rate over \(\Xi \times \mathcal{G}\) — the shut-down ramp a unit's down row reads — PyPSA's ramp_limit_shut_down, or the full build where it has none |
| \(\mathit{Generator\_ramp\_up\_allowance}\) | Generator_ramp_up_allowance over \(\Xi \times \mathcal{T} \times \mathcal{G}\) — how far a generator may raise output between two snapshots — its ramp limit of the build while it stays on, plus its start-up ramp in the snapshot it turns on |
| \(\mathit{Generator\_ramp\_down\_allowance}\) | Generator_ramp_down_allowance over \(\Xi \times \mathcal{T} \times \mathcal{G}\) — how far a generator may lower output between two snapshots — its ramp limit of the build while it stays on, plus its shut-down ramp in the snapshot it turns off |
| \(\mathit{Link\_previous\_p}\) | Link_previous_p over \(\Xi \times \mathcal{T} \times \mathcal{L}\) — the flow a link carries into a snapshot — at the first, the p_init it brought in where it came in running and nothing where it came in off; the previous snapshot's after that |
| \(\mathit{Link\_ramp\_up\_allowance}\) | Link_ramp_up_allowance over \(\Xi \times \mathcal{T} \times \mathcal{L}\) — how far a link may raise flow between two snapshots — its ramp limit of the build while it stays on, plus its start-up ramp in the snapshot it turns on |
| \(\mathit{Link\_ramp\_down\_allowance}\) | Link_ramp_down_allowance over \(\Xi \times \mathcal{T} \times \mathcal{L}\) — how far a link may lower flow between two snapshots — its ramp limit of the build while it stays on, plus its shut-down ramp in the snapshot it turns off |
| \(\mathit{Process\_previous\_p}\) | Process_previous_p over \(\Xi \times \mathcal{T} \times \mathcal{J}\) — the internal power a process carries into a snapshot — at the first, the p_init it brought in where it came in running and nothing where it came in off; the previous snapshot's after that |
| \(\mathit{Process\_ramp\_up\_allowance}\) | Process_ramp_up_allowance over \(\Xi \times \mathcal{T} \times \mathcal{J}\) — how far a process may raise internal power between two snapshots — its ramp limit of the build while it stays on, plus its start-up ramp in the snapshot it turns on |
| \(\mathit{Process\_ramp\_down\_allowance}\) | Process_ramp_down_allowance over \(\Xi \times \mathcal{T} \times \mathcal{J}\) — how far a process may lower internal power between two snapshots — its ramp limit of the build while it stays on, plus its shut-down ramp in the snapshot it turns off |
| \(\mathit{total\_cost}\) | total_cost (scalar) — what the system costs — capacity once per active period at its expected cost over the scenarios, operation in expectation over the scenarios, and a share of it at the tail |
| \(\mathit{Bus\_injection}\) | Bus_injection over \(\Xi \times \mathcal{T} \times \mathcal{N}\) — what every component puts into a bus, less what it takes out of it; PyPSA writes each term into the balance, and a load on its right-hand side |
| \(\mathit{Generator\_p\_nom\_effective}\) | Generator_p_nom_effective over \(\Xi \times \mathcal{G}\) — the build a generator's limits are taken against — the chosen one where it is extendable, the given one otherwise |
| \(\mathrm{Generator\_p\_nom\_committed}\) | Generator_p_nom_committed over \(\Xi \times \mathcal{G}\) — the build a committed unit's ramp rows are taken against — one module where the build is extendable and modular, the given build otherwise |
| \(\mathit{Link\_p\_nom\_effective}\) | Link_p_nom_effective over \(\Xi \times \mathcal{L}\) — the build a link's limits are taken against — the chosen one where it is extendable, the given one otherwise |
| \(\mathit{Link\_previous\_status}\) | Link_previous_status over \(\Xi \times \mathcal{T} \times \mathcal{L}\) — the commitment state a link carries into a snapshot — the state it brought into the horizon at the first, the previous snapshot's after that |
| \(\mathrm{Link\_ramp\_up\_rate}\) | Link_ramp_up_rate over \(\Xi \times \mathcal{T} \times \mathcal{L}\) — the ramp limit a link's up row reads — PyPSA's ramp_limit_up, or the full build where it has none, since a start-up ramp alone builds the row |
| \(\mathrm{Link\_ramp\_down\_rate}\) | Link_ramp_down_rate over \(\Xi \times \mathcal{T} \times \mathcal{L}\) — the ramp limit a link's down row reads — PyPSA's ramp_limit_down, or the full build where it has none, since a shut-down ramp alone builds the row |
| \(\mathrm{Link\_start\_up\_rate}\) | Link_start_up_rate over \(\Xi \times \mathcal{L}\) — the start-up ramp a link's up row reads — PyPSA's ramp_limit_start_up, or the full build where it has none |
| \(\mathrm{Link\_shut\_down\_rate}\) | Link_shut_down_rate over \(\Xi \times \mathcal{L}\) — the shut-down ramp a link's down row reads — PyPSA's ramp_limit_shut_down, or the full build where it has none |
| \(\mathrm{Link\_p\_nom\_committed}\) | Link_p_nom_committed over \(\Xi \times \mathcal{L}\) — the build a committed link's ramp rows are taken against — one module where the build is extendable and modular, the given build otherwise |
| \(\mathit{Process\_p\_nom\_effective}\) | Process_p_nom_effective over \(\Xi \times \mathcal{J}\) — the build a process's limits are taken against — the chosen one where it is extendable, the given one otherwise |
| \(\mathit{Process\_previous\_status}\) | Process_previous_status over \(\Xi \times \mathcal{T} \times \mathcal{J}\) — the commitment state a process carries into a snapshot — the state it brought into the horizon at the first, the previous snapshot's after that |
| \(\mathrm{Process\_ramp\_up\_rate}\) | Process_ramp_up_rate over \(\Xi \times \mathcal{T} \times \mathcal{J}\) — the ramp limit a process's up row reads — PyPSA's ramp_limit_up, or the full build where it has none, since a start-up ramp alone builds the row |
| \(\mathrm{Process\_ramp\_down\_rate}\) | Process_ramp_down_rate over \(\Xi \times \mathcal{T} \times \mathcal{J}\) — the ramp limit a process's down row reads — PyPSA's ramp_limit_down, or the full build where it has none, since a shut-down ramp alone builds the row |
| \(\mathrm{Process\_start\_up\_rate}\) | Process_start_up_rate over \(\Xi \times \mathcal{J}\) — the start-up ramp a process's up row reads — PyPSA's ramp_limit_start_up, or the full build where it has none |
| \(\mathrm{Process\_shut\_down\_rate}\) | Process_shut_down_rate over \(\Xi \times \mathcal{J}\) — the shut-down ramp a process's down row reads — PyPSA's ramp_limit_shut_down, or the full build where it has none |
| \(\mathrm{Process\_p\_nom\_committed}\) | Process_p_nom_committed over \(\Xi \times \mathcal{J}\) — the build a committed process's ramp rows are taken against — one module where the build is extendable and modular, the given build otherwise |
| \(\mathit{Generator\_capex}\) | Generator_capex (scalar) |
| \(\mathit{risk\_weighted\_opex}\) | risk_weighted_opex (scalar) |
| \(\mathit{Generator\_injection}\) | Generator_injection over \(\Xi \times \mathcal{T} \times \mathcal{N}\) |
| \(\mathit{Link\_injection}\) | Link_injection over \(\Xi \times \mathcal{T} \times \mathcal{N}\) |
| \(\mathrm{Load\_injection}\) | Load_injection over \(\Xi \times \mathcal{T} \times \mathcal{N}\) |
| \(\mathit{Process\_injection}\) | Process_injection over \(\Xi \times \mathcal{T} \times \mathcal{N}\) |
| \(\mathit{Link\_output\_arrival}\) | Link_output_arrival over \(\Xi \times \mathcal{T} \times \mathcal{O}\) — what a link delivers to an output port at a snapshot — its flow delayed by the port's delay within its investment period, times the port's efficiency at the snapshot the flow arrives; where the port is cyclic_delay the delayed flow wraps from the period's end, and where it is not the flow still in transit at the period's first snapshots is lost. A port that does not delay (delay zero) delivers its flow unshifted, cyclic or not |
| \(\mathit{Process\_output\_arrival}\) | Process_output_arrival over \(\Xi \times \mathcal{T} \times \mathcal{R}\) — what a process transfers at a port at a snapshot — its internal power delayed by the port's delay within its investment period, times the port's rate at the snapshot the transfer arrives; where the port is cyclic_delay the delayed transfer wraps from the period's end, and where it is not the energy still in transit at the period's first snapshots is lost. A port that does not delay (delay zero) transfers at once, cyclic or not |
| \(\mathit{scenario\_opex}\) | scenario_opex over \(\Xi\) — what a future costs to run — every operating term, weighted by the snapshot's hours and its period, before the scenario's own weight; a start and a stop cost what they cost, unweighted, as PyPSA adds them (optimize.py:414-429) |
| \(\mathrm{Load\_demand}\) | Load_demand over \(\Xi \times \mathcal{T} \times \mathcal{D}\) — what a load draws from its bus's balance — its demand times its sign where it is active, nothing where it is not, since PyPSA drops an inactive load from the balance (constraints.py:1537-1538) |
| \(\mathit{Generator\_opex}\) | Generator_opex over \(\Xi\) |
| \(\mathit{Generator\_commitment\_opex}\) | Generator_commitment_opex over \(\Xi\) |
| \(\mathit{Link\_opex}\) | Link_opex over \(\Xi\) |
| \(\mathit{Process\_opex}\) | Process_opex over \(\Xi\) |
\(t \ominus k\) denotes cyclic translation: index \(t-k\) taken modulo the size of the dimension (roll). Plain \(t-k\) (shift) has no wraparound — terms translated past the edge are simply absent.
\(t \boxminus_{v} k\) denotes translation with \(v\) standing where index \(t-k\) leaves the dimension (shift(edge=v)), so the row at that boundary is built and carries \(v\) rather than being dropped.
\(t \ominus^{\mathrm{relation}(t)} k\) denotes a translation counted inside the group a relation puts \(t\) in (shift(by=relation)), so a term never crosses out of its own group. The two modifiers take different slots — the group above, the fill below — so \(t \boxminus_{v}^{\mathrm{relation}(t)} k\) is both at once.
\(\mathrm{pos}(t)\) denotes where index \(t\) sits along its dimension's own order — the order shift steps along, not the order labels sort in — counted from \(0\). The index itself stays the coordinate, so \(t\) compares against labels and \(\mathrm{pos}(t)\) against positions.
\(\mathrm{pos}_{\mathrm{relation}(t)}(t)\) counts within the group a relation puts \(t\) in: the subscript names the map, \(\mathcal{T}_{\mathrm{relation}(t)}\) is the group it lands in, and that group has a first position of its own.
Objective¶
Subject to¶
Generator_fix_p_lower
Generator_fix_p_upper
Link_fix_p_lower
Link_fix_p_upper
Generator_ext_p_lower
Generator_ext_p_upper
Generator_ext_p_nom_lower
Generator_ext_p_nom_upper
Process_fix_p_lower
Process_fix_p_upper
Generator_com_p_lower
Generator_com_p_upper
Generator_com_transition_start_up
Generator_com_transition_shut_down
Generator_p_ramp_limit_up_run_big_m
Generator_p_ramp_limit_up_start_big_m
Generator_p_ramp_limit_down_run_big_m
Generator_p_ramp_limit_down_shut_big_m
Generator_com_ext_p_upper_cap
Generator_com_ext_p_upper_big_m
Generator_com_ext_p_lower
Generator_com_ext_p_lower_nonneg
Generator_status_p_fixed_upper
Generator_start_up_p_fixed_upper
Generator_shut_down_p_fixed_upper
Generator_p_ramp_limit_up
Generator_p_ramp_limit_down
Link_p_ramp_limit_up
Link_p_ramp_limit_down
Process_p_ramp_limit_up
Process_p_ramp_limit_down
Bus_nodal_balance
Definitions¶
Generator_previous_status
Generator_previous_p
Generator_ramp_up_rate
Generator_ramp_down_rate
Generator_start_up_rate
Generator_shut_down_rate
Generator_ramp_up_allowance
Generator_ramp_down_allowance
Link_previous_p
Link_ramp_up_allowance
Link_ramp_down_allowance
Process_previous_p
Process_ramp_up_allowance
Process_ramp_down_allowance
total_cost
Bus_injection
Generator_p_nom_effective
Generator_p_nom_committed
Link_p_nom_effective
Link_previous_status
Link_ramp_up_rate
Link_ramp_down_rate
Link_start_up_rate
Link_shut_down_rate
Link_p_nom_committed
Process_p_nom_effective
Process_previous_status
Process_ramp_up_rate
Process_ramp_down_rate
Process_start_up_rate
Process_shut_down_rate
Process_p_nom_committed
Generator_capex
risk_weighted_opex
Generator_injection
Link_injection
Load_injection
Process_injection
Link_output_arrival
Process_output_arrival
scenario_opex
Load_demand
Generator_opex
Generator_commitment_opex
Link_opex
Process_opex
Variable domains¶
Generator_p
Link_p
Process_p
Generator_status
Generator_start_up
Generator_shut_down
Generator_p_nom_ext
CVaR_a
CVaR_theta
CVaR
Link_status
Process_status
Link_p_nom_ext
Process_p_nom_ext
The spec, differential/pypsa/rungs/rung_46_initial_output.yaml — the file projected onto what this rung builds:
description: A plain `n.optimize()`, and its multi-period and stochastic classes, in one file. Every second-stage
quantity spans a `scenario` (a future dispatch is chosen in) and every asset stands in the investment
`period`s its build year and lifetime span. A parameter spans `scenario` exactly when PyPSA reads it
per scenario. Capacity is chosen once, before the future is known, and paid once per active period at
its cost in expectation over the scenarios; operation is the expectation over the scenarios' weights,
with a share priced at the tail through the CVaR rows, which stand only where that share is positive.
A plain run feeds one scenario, one period, all-active masks and unit weights, and the model collapses
to the standard one. A security-constrained run copies each branch flow limit once per outage in an
`outage` set that a plain run leaves empty. Which snapshots an asset is active in, a scenario's weight,
and the outage factors are data prep.
dimensions:
scenario: {description: 'the futures dispatch is chosen in, each with a weight'}
snapshot: {description: dispatch periods, dtype: datetime}
bus: {description: network nodes}
generator: {description: 'generating units, each on one bus'}
link: {description: 'controllable connections, each from one bus to the buses it delivers to'}
link_output: {description: 'a link''s output ports, one label per port a link declares — PyPSA''s `bus1`,
`bus2`, … columns read long, so a link of any number of output ports is one term in the balance,
data prep'}
process: {description: 'generalized multi-port converters, each with an internal power that every port
draws or delivers at its own rate'}
process_output: {description: 'a process''s ports, one label per port a process declares — PyPSA''s
`bus0`, `bus1`, … each carry a signed `rate`, so a process of any number of ports is one term in
the balance, data prep'}
load: {description: 'demands, each on one bus'}
period: {description: investment periods — PyPSA's `investment_periods`, dtype: int}
relations:
snapshot_period: {description: the investment period a snapshot falls in, key: snapshot, values: period}
Generator_bus: {description: the bus a generator sits on, key: generator, values: bus}
Link_bus0: {description: the bus a link leaves, key: link, values: bus}
Link_output_link: {description: the link an output port belongs to, key: link_output, values: link}
Link_output_bus: {description: 'the bus an output port delivers to — PyPSA''s `bus1`, `bus2`, … columns.
A link of three output ports is three labels here rather than a third relation, so the file states
any number of them', key: link_output, values: bus}
Process_output_process: {description: the process a port belongs to, key: process_output, values: process}
Process_output_bus: {description: 'the bus a port draws from or delivers to — PyPSA''s `bus0`, `bus1`,
… columns. A process of three ports is three labels here rather than a third relation, so the file
states any number of them', key: process_output, values: bus}
Load_bus: {description: the bus a load sits on, key: load, values: bus}
parameters:
snapshot_weightings_objective:
description: PyPSA's `snapshot_weightings.objective` — hours a snapshot stands for in the cost
dims: [snapshot]
Generator_p_nom:
description: nominal power
dims: [scenario, generator]
Generator_p_nom_extendable:
description: whether the nominal power is a decision
dims: [generator]
dtype: bool
Generator_p_min_pu:
description: least output, per unit of nominal power
dims: [scenario, snapshot, generator]
Generator_p_max_pu:
description: most output, per unit of nominal power — an availability profile
dims: [scenario, snapshot, generator]
Generator_marginal_cost:
description: cost of one unit of output
dims: [scenario, snapshot, generator]
Generator_marginal_cost_quadratic:
description: cost of the square of one unit of output
dims: [scenario, snapshot, generator]
Generator_sign:
description: the sign output enters its bus's balance with — PyPSA's `sign`, `1` unless given, `-1`
for a unit that draws power. PyPSA refuses one that differs by scenario (`consistency.py:1187`)
dims: [generator]
Generator_committable:
description: whether output is gated by an on/off status decision
dims: [generator]
dtype: bool
Generator_ramp_limit_up:
description: most a generator may raise its output between snapshots, per unit of nominal power; no
value means no limit — read at the later of the two snapshots, so the limit may change over time
dims: [scenario, snapshot, generator]
Generator_ramp_limit_down:
description: most a generator may lower its output between snapshots, per unit of nominal power; no
value means no limit — read at the later of the two snapshots, so the limit may change over time
dims: [scenario, snapshot, generator]
Generator_ramp_limit_start_up:
description: most output in the snapshot a unit starts, per unit of nominal power
dims: [scenario, generator]
Generator_ramp_limit_shut_down:
description: most output in the snapshot before a unit stops, per unit of nominal power
dims: [scenario, generator]
Generator_status_initial:
description: one where the unit was on before the first snapshot, zero where off — PyPSA's `up_time_before
> 0`, data prep
dims: [scenario, generator]
dtype: int
Generator_p_init:
description: the output a unit brought into the horizon — PyPSA's `p_init`, read only where the unit
came in running; no value means it is unknown, so the unit carries no ramp row at the first snapshot
dims: [scenario, generator]
Generator_start_up_cost:
description: cost of one start
dims: [scenario, generator]
Generator_shut_down_cost:
description: cost of one stop
dims: [scenario, generator]
Generator_stand_by_cost:
description: cost of one snapshot spent on
dims: [scenario, snapshot, generator]
Generator_p_nom_mod:
description: the module size a build comes in whole numbers of; no value means the build is continuous
dims: [generator]
Generator_modules_installed:
description: 'how many whole modules a committable build has in place: `Generator_p_nom / Generator_p_nom_mod`
where a fixed build is modular, one where it is not, data prep. PyPSA refuses a fixed modular build
whose nominal power is not a whole number of modules'
dims: [scenario, generator]
Generator_big_m:
description: a bound safely above any feasible output — the build cap at full availability, data prep
dims: [scenario, generator]
Generator_p_min_pu_nonneg:
description: true where none of the generator's own minimums-per-unit is negative — PyPSA's per-unit
`(p_min_pu >= 0).all()` over every snapshot and scenario, data prep
dims: [generator]
dtype: bool
Link_ramp_limit_up:
description: most a link may raise its flow between snapshots, per unit of nominal power; no value
means no limit — read at the later of the two snapshots, so the limit may change over time
dims: [scenario, snapshot, link]
Link_ramp_limit_down:
description: most a link may lower its flow between snapshots, per unit of nominal power; no value
means no limit — read at the later of the two snapshots, so the limit may change over time
dims: [scenario, snapshot, link]
Link_p_nom:
description: nominal power
dims: [scenario, link]
Link_p_nom_extendable:
description: whether the nominal power is a decision
dims: [link]
dtype: bool
Link_p_min_pu:
description: least flow, per unit of nominal power — negative for a link that carries both ways
dims: [scenario, snapshot, link]
Link_p_max_pu:
description: most flow, per unit of nominal power
dims: [scenario, snapshot, link]
Link_efficiency:
description: share of the flow that arrives at an output port, PyPSA's `efficiency`, `efficiency2`,
… read long — negative where that port consumes rather than delivers. Read at the snapshot the flow
arrives, so a delayed port delivers at its arrival snapshot's efficiency (`constraints.py:1522`)
dims: [scenario, snapshot, link_output]
Link_output_delay:
description: snapshots a port's delivery lags its link's flow — PyPSA's `delay`, `delay2`, … read
long, in `snapshot_weightings.generators` units, which the file states as whole snapshots; zero
for a port that delivers at once. Each scenario takes its own. PyPSA `1.3.0` groups the ports by
delay over all scenarios and shifts each group in every one, so a delay that differs by scenario
delivers the flow twice (`constraints.py:1269-1276`, PyPSA/PyPSA#1941)
dims: [scenario, link_output]
dtype: int
Link_output_cyclic_delay:
description: whether a delayed port's flow wraps from the end of its investment period — PyPSA's `cyclic_delay`,
`cyclic_delay2`, …; where it does not, the flow still in transit at each period's first snapshots
is lost. Each scenario takes its own, as the delay
dims: [scenario, link_output]
dtype: bool
Link_marginal_cost:
description: cost of one unit of flow
dims: [scenario, snapshot, link]
Link_marginal_cost_quadratic:
description: cost of the square of one unit of flow
dims: [scenario, snapshot, link]
Link_committable:
description: whether flow is gated by an on/off status decision
dims: [link]
dtype: bool
Link_ramp_limit_start_up:
description: most flow in the snapshot a link starts, per unit of nominal power
dims: [scenario, link]
Link_ramp_limit_shut_down:
description: most flow in the snapshot before a link stops, per unit of nominal power
dims: [scenario, link]
Link_status_initial:
description: one where the link was on before the first snapshot, zero where off — PyPSA's `up_time_before
> 0`, data prep
dims: [scenario, link]
dtype: int
Link_p_init:
description: the flow a link brought into the horizon — PyPSA's `p_init`, read only where the link
came in running; no value means it is unknown, so the link carries no ramp row at the first snapshot
dims: [scenario, link]
Link_p_nom_mod:
description: the module size a build comes in whole numbers of; no value means the build is continuous
dims: [link]
Process_p_nom:
description: nominal internal power
dims: [scenario, process]
Process_p_nom_extendable:
description: whether the nominal internal power is a decision
dims: [process]
dtype: bool
Process_p_min_pu:
description: least internal power, per unit of nominal power — negative for a process that runs both
ways
dims: [scenario, snapshot, process]
Process_p_max_pu:
description: most internal power, per unit of nominal power
dims: [scenario, snapshot, process]
Process_rate:
description: the energy a port draws or delivers per unit of internal power, PyPSA's `rate0`, `rate1`,
… read long — negative where the port withdraws, positive where it injects; a link is a process
whose `bus0` rate is minus one and whose output rates are its efficiencies. Read at the snapshot
the transfer arrives, so a delayed port transfers at its arrival snapshot's rate (`constraints.py:1522`)
dims: [scenario, snapshot, process_output]
Process_output_delay:
description: snapshots a port's transfer lags its process's internal power — PyPSA's `delay0`, `delay1`,
… read long, in `snapshot_weightings.generators` units, which the file states as whole snapshots;
zero for a port that transfers at once. Each scenario takes its own, as a link's
dims: [scenario, process_output]
dtype: int
Process_output_cyclic_delay:
description: whether a delayed port's transfer wraps from the end of its investment period — PyPSA's
`cyclic_delay0`, `cyclic_delay1`, …; where it does not, the energy still in transit at each period's
first snapshots is lost. Each scenario takes its own, as the delay
dims: [scenario, process_output]
dtype: bool
Process_marginal_cost:
description: cost of one unit of internal power
dims: [scenario, snapshot, process]
Process_marginal_cost_quadratic:
description: cost of the square of one unit of internal power
dims: [scenario, snapshot, process]
Process_ramp_limit_up:
description: most a process may raise its internal power between snapshots, per unit of nominal power;
no value means no limit — read at the later of the two snapshots, so the limit may change over time
dims: [scenario, snapshot, process]
Process_ramp_limit_down:
description: most a process may lower its internal power between snapshots, per unit of nominal power;
no value means no limit — read at the later of the two snapshots, so the limit may change over time
dims: [scenario, snapshot, process]
Process_committable:
description: whether internal power is gated by an on/off status decision
dims: [process]
dtype: bool
Process_ramp_limit_start_up:
description: most internal power in the snapshot a process starts, per unit of nominal power
dims: [scenario, process]
Process_ramp_limit_shut_down:
description: most internal power in the snapshot before a process stops, per unit of nominal power
dims: [scenario, process]
Process_status_initial:
description: one where the process was on before the first snapshot, zero where off — PyPSA's `up_time_before
> 0`, data prep
dims: [scenario, process]
dtype: int
Process_p_init:
description: the internal power a process brought into the horizon — PyPSA's `p_init`, read only where
the process came in running; no value means it is unknown, so the process carries no ramp row at
the first snapshot
dims: [scenario, process]
Process_p_nom_mod:
description: the module size a build comes in whole numbers of; no value means the build is continuous
dims: [process]
Load_p_set:
description: demand
dims: [scenario, snapshot, load]
Load_sign:
description: the sign a load's demand enters its bus's balance with — PyPSA's `sign`, `-1` unless
given, `1` for a load that feeds its bus. PyPSA refuses one that differs by scenario (`consistency.py:1187`)
dims: [load]
Load_active:
description: whether a load stands in the model — PyPSA's `active`. A load has no build year and no
lifetime, so the flag holds in every snapshot. PyPSA refuses one that differs by scenario (`consistency.py:1195`)
dims: [load]
dtype: bool
scenario_weight:
description: PyPSA's `scenario_weightings.weight` — the probability of a future
dims: [scenario]
CVaR_omega:
description: PyPSA's `risk_preference['omega']` — the share of operating cost priced at the tail rather
than in expectation; zero recovers the risk-neutral model
dims: []
period_weight_objective:
description: PyPSA's `investment_period_weightings.objective` — what a period's cost weighs
dims: [period]
Generator_active:
description: whether a generator stands in a snapshot's period — PyPSA's `active`, from build year
and lifetime, data prep
dims: [snapshot, generator]
dtype: bool
Link_active:
description: whether a link stands in a snapshot's period — PyPSA's `active`, data prep
dims: [snapshot, link]
dtype: bool
Process_active:
description: whether a process stands in a snapshot's period — PyPSA's `active`, data prep
dims: [snapshot, process]
dtype: bool
Generator_capital_weight:
description: the sum of period weights a generator stands in — PyPSA's `active * period_weighting`,
summed, data prep
dims: [generator]
Generator_p_nom_min:
description: least nominal power an extendable generator may be built at
dims: [scenario, generator]
Generator_p_nom_max:
description: most nominal power an extendable generator may be built at
dims: [scenario, generator]
Generator_capital_cost:
description: cost of one unit of nominal power — PyPSA's `capital_cost`, periodized as an annuity
in data prep
dims: [scenario, generator]
variables:
Generator_p:
description: '`Generator-p` — output of a generator in a snapshot'
dims: [scenario, snapshot, generator]
where: Generator_active
Link_p:
description: '`Link-p` — PyPSA''s `p0`, the flow measured at the `Link_bus0` end: a positive value
withdraws there and injects at every bus the link''s output ports deliver to'
dims: [scenario, snapshot, link]
where: Link_active
Process_p:
description: '`Process-p` — PyPSA''s internal power `p`: a positive value drives every port at its
own rate, withdrawing where the rate is negative and injecting where it is positive'
dims: [scenario, snapshot, process]
where: Process_active
Generator_status:
description: '`Generator-status` — how much of a committable unit is on: an integer the rows below
cap at one, or at the module count where the build is modular'
dims: [scenario, snapshot, generator]
where: Generator_committable AND Generator_active
domain: integer
bounds: {lower: 0}
Generator_start_up:
description: '`Generator-start_up` — how much of a committable unit turns on this snapshot, capped
as the status is'
dims: [scenario, snapshot, generator]
where: Generator_committable AND Generator_active
domain: integer
bounds: {lower: 0}
Generator_shut_down:
description: '`Generator-shut_down` — how much of a committable unit turns off this snapshot, capped
as the status is'
dims: [scenario, snapshot, generator]
where: Generator_committable AND Generator_active
domain: integer
bounds: {lower: 0}
Generator_p_nom_ext:
description: '`Generator-p_nom` — nominal power where it is a decision; the parameter of the same
PyPSA name carries the fixed regime'
dims: [generator]
where: Generator_p_nom_extendable
CVaR_a:
description: '`CVaR-a` — how far a scenario''s operating cost exceeds the tail''s start; nothing where
it does not'
dims: [scenario]
bounds: {lower: 0}
CVaR_theta:
description: '`CVaR-theta` — where the tail starts, the value at risk'
dims: []
CVaR:
description: '`CVaR` — the tail''s average cost, what the objective prices at `omega`'
dims: []
Link_status:
description: '`Link-status` — how much of a committable link is on: an integer the rows below cap
at one, or at the module count where the build is modular'
dims: [scenario, snapshot, link]
where: Link_committable AND Link_active
domain: integer
bounds: {lower: 0}
Process_status:
description: '`Process-status` — how much of a committable process is on: an integer the rows below
cap at one, or at the module count where the build is modular'
dims: [scenario, snapshot, process]
where: Process_committable AND Process_active
domain: integer
bounds: {lower: 0}
Link_p_nom_ext:
description: '`Link-p_nom` — nominal power where it is a decision; the parameter of the same PyPSA
name carries the fixed regime'
dims: [link]
where: Link_p_nom_extendable
Process_p_nom_ext:
description: '`Process-p_nom` — nominal internal power where it is a decision; the parameter of the
same PyPSA name carries the fixed regime'
dims: [process]
where: Process_p_nom_extendable
constraints:
Generator_fix_p_lower:
description: '`Generator-fix-p-lower` — a fixed generator outputs at least its minimum'
dims: [scenario, snapshot, generator]
where: not Generator_p_nom_extendable AND not Generator_committable AND Generator_active
expression: Generator_p >= Generator_p_min_pu * Generator_p_nom
Generator_fix_p_upper:
description: '`Generator-fix-p-upper` — a fixed generator outputs at most what is available'
dims: [scenario, snapshot, generator]
where: not Generator_p_nom_extendable AND not Generator_committable AND Generator_active
expression: Generator_p <= Generator_p_max_pu * Generator_p_nom
Link_fix_p_lower:
description: '`Link-fix-p-lower` — a fixed link carries at least its minimum, negative for the other
way'
dims: [scenario, snapshot, link]
where: not Link_p_nom_extendable AND not Link_committable AND Link_active
expression: Link_p >= Link_p_min_pu * Link_p_nom
Link_fix_p_upper:
description: '`Link-fix-p-upper` — a fixed link carries at most its nominal power'
dims: [scenario, snapshot, link]
where: not Link_p_nom_extendable AND not Link_committable AND Link_active
expression: Link_p <= Link_p_max_pu * Link_p_nom
Generator_ext_p_lower:
description: '`Generator-ext-p-lower` — an extendable generator outputs at least its minimum of the
chosen build'
dims: [scenario, snapshot, generator]
where: Generator_p_nom_extendable AND not Generator_committable AND Generator_active
expression: Generator_p >= Generator_p_min_pu * Generator_p_nom_ext
Generator_ext_p_upper:
description: '`Generator-ext-p-upper` — an extendable generator outputs at most what is available
of the chosen build'
dims: [scenario, snapshot, generator]
where: Generator_p_nom_extendable AND not Generator_committable AND Generator_active
expression: Generator_p <= Generator_p_max_pu * Generator_p_nom_ext
Generator_ext_p_nom_lower:
description: '`Generator-ext-p_nom-lower` — the chosen build is at least its floor in every scenario'
dims: [scenario, generator]
where: Generator_p_nom_extendable
expression: Generator_p_nom_ext >= Generator_p_nom_min
Generator_ext_p_nom_upper:
description: '`Generator-ext-p_nom-upper` — the chosen build is at most its cap in every scenario;
a cap of infinity is no row'
dims: [scenario, generator]
where: Generator_p_nom_extendable AND Generator_p_nom_max
expression: Generator_p_nom_ext <= Generator_p_nom_max
Process_fix_p_lower:
description: '`Process-fix-p-lower` — a fixed process runs at least its minimum, negative for the
other way'
dims: [scenario, snapshot, process]
where: not Process_p_nom_extendable AND not Process_committable AND Process_active
expression: Process_p >= Process_p_min_pu * Process_p_nom
Process_fix_p_upper:
description: '`Process-fix-p-upper` — a fixed process runs at most its nominal power'
dims: [scenario, snapshot, process]
where: not Process_p_nom_extendable AND not Process_committable AND Process_active
expression: Process_p <= Process_p_max_pu * Process_p_nom
Generator_com_p_lower:
description: '`Generator-com-p-lower` — a committed unit outputs at least its minimum; off, at least
nothing'
dims: [scenario, snapshot, generator]
where: Generator_committable AND not Generator_p_nom_extendable AND Generator_active
expression: Generator_p >= (Generator_p_min_pu * Generator_p_nom) * Generator_status
Generator_com_p_upper:
description: '`Generator-com-p-upper` — a committed unit outputs at most what is available; off, at
most nothing'
dims: [scenario, snapshot, generator]
where: Generator_committable AND not Generator_p_nom_extendable AND Generator_active
expression: Generator_p <= (Generator_p_max_pu * Generator_p_nom) * Generator_status
Generator_com_transition_start_up:
description: '`Generator-com-transition-start-up` — turning on is a start, counted against the state
the unit carried into the snapshot'
dims: [scenario, snapshot, generator]
where: Generator_committable AND Generator_active
expression: Generator_start_up >= Generator_status - Generator_previous_status
Generator_com_transition_shut_down:
description: '`Generator-com-transition-shut-down` — turning off is a stop, counted against the state
the unit carried into the snapshot'
dims: [scenario, snapshot, generator]
where: Generator_committable AND Generator_active
expression: Generator_shut_down >= Generator_previous_status - Generator_status
Generator_p_ramp_limit_up_run_big_m:
description: '`Generator-p-ramp_limit_up-run-bigM` — a committed extendable unit raises output no
faster than its limit of the chosen build; the big M releases the row in the snapshot it turns on'
dims: [scenario, snapshot, generator]
where: Generator_committable AND Generator_p_nom_extendable AND NOT (Generator_p_nom_mod > 0) AND
(Generator_ramp_limit_up OR Generator_ramp_limit_start_up) AND (position(snapshot, by=snapshot_period,
within=period) > 0 OR (position(snapshot) == 0 AND (Generator_status_initial == 0 OR Generator_p_init)))
AND Generator_active
expression: Generator_p - Generator_previous_p <= Generator_ramp_up_rate * Generator_p_nom_ext + Generator_big_m
- Generator_big_m * Generator_previous_status
Generator_p_ramp_limit_up_start_big_m:
description: '`Generator-p-ramp_limit_up-start-bigM` — in the snapshot it turns on, a committed extendable
unit ramps no further than its start-up ramp of the chosen build; the big M releases the row everywhere
else'
dims: [scenario, snapshot, generator]
where: Generator_committable AND Generator_p_nom_extendable AND NOT (Generator_p_nom_mod > 0) AND
(Generator_ramp_limit_up OR Generator_ramp_limit_start_up) AND (position(snapshot, by=snapshot_period,
within=period) > 0 OR (position(snapshot) == 0 AND (Generator_status_initial == 0 OR Generator_p_init)))
AND Generator_active
expression: Generator_p - Generator_previous_p <= Generator_start_up_rate * Generator_p_nom_ext +
Generator_big_m - Generator_big_m * Generator_start_up
Generator_p_ramp_limit_down_run_big_m:
description: '`Generator-p-ramp_limit_down-run-bigM` — a committed extendable unit lowers output no
faster than its limit of the chosen build; the big M releases the row in the snapshot it turns off'
dims: [scenario, snapshot, generator]
where: Generator_committable AND Generator_p_nom_extendable AND NOT (Generator_p_nom_mod > 0) AND
(Generator_ramp_limit_down OR Generator_ramp_limit_shut_down) AND (position(snapshot, by=snapshot_period,
within=period) > 0 OR (position(snapshot) == 0 AND (Generator_status_initial == 0 OR Generator_p_init)))
AND Generator_active
expression: Generator_previous_p - Generator_p <= Generator_ramp_down_rate * Generator_p_nom_ext +
Generator_big_m - Generator_big_m * Generator_status
Generator_p_ramp_limit_down_shut_big_m:
description: '`Generator-p-ramp_limit_down-shut-bigM` — in the snapshot it turns off, a committed
extendable unit ramps no further than its shut-down ramp of the chosen build; the big M releases
the row everywhere else'
dims: [scenario, snapshot, generator]
where: Generator_committable AND Generator_p_nom_extendable AND NOT (Generator_p_nom_mod > 0) AND
(Generator_ramp_limit_down OR Generator_ramp_limit_shut_down) AND (position(snapshot, by=snapshot_period,
within=period) > 0 OR (position(snapshot) == 0 AND (Generator_status_initial == 0 OR Generator_p_init)))
AND Generator_active
expression: Generator_previous_p - Generator_p <= Generator_shut_down_rate * Generator_p_nom_ext +
Generator_big_m - Generator_big_m * Generator_shut_down
Generator_com_ext_p_upper_cap:
description: '`Generator-com-ext-p-upper-cap` — a committed extendable unit outputs at most what is
available of the chosen build, whatever its status'
dims: [scenario, snapshot, generator]
where: Generator_committable AND Generator_p_nom_extendable AND NOT (Generator_p_nom_mod > 0) AND
Generator_active
expression: Generator_p <= Generator_p_max_pu * Generator_p_nom_ext
Generator_com_ext_p_upper_big_m:
description: '`Generator-com-ext-p-upper-bigM` — off, a unit outputs nothing; on, the big M is no
bound'
dims: [scenario, snapshot, generator]
where: Generator_committable AND Generator_p_nom_extendable AND NOT (Generator_p_nom_mod > 0) AND
Generator_active
expression: Generator_p <= Generator_big_m * Generator_status
Generator_com_ext_p_lower:
description: '`Generator-com-ext-p-lower` — a committed extendable unit outputs at least its minimum
of the chosen build; off, the big M releases the row'
dims: [scenario, snapshot, generator]
where: Generator_committable AND Generator_p_nom_extendable AND NOT (Generator_p_nom_mod > 0) AND
Generator_active
expression: Generator_p >= ((Generator_p_min_pu * Generator_p_nom_ext) + (Generator_big_m * Generator_status))
- Generator_big_m
Generator_com_ext_p_lower_nonneg:
description: '`Generator-com-ext-p-lower-nonneg` — where no minimum-per-unit is negative, output is
also plainly non-negative, a row the big-M lower cannot assert while the unit is off'
dims: [scenario, snapshot, generator]
where: Generator_committable AND Generator_p_nom_extendable AND Generator_p_min_pu_nonneg AND NOT
(Generator_p_nom_mod > 0) AND Generator_active
expression: Generator_p >= 0
Generator_status_p_fixed_upper:
description: '`Generator-status-p-fixed-upper` — a status is at most the modules in place, an explicit
row as PyPSA writes it: one where the build is not modular, and the fixed build''s whole count of
modules where it is'
dims: [scenario, snapshot, generator]
where: Generator_committable AND NOT (Generator_p_nom_extendable AND Generator_p_nom_mod > 0) AND
Generator_active
expression: Generator_status <= Generator_modules_installed
Generator_start_up_p_fixed_upper:
description: '`Generator-start_up-p-fixed-upper` — a start is at most the modules in place, an explicit
row as PyPSA writes it: one where the build is not modular, and the fixed build''s whole count of
modules where it is'
dims: [scenario, snapshot, generator]
where: Generator_committable AND NOT (Generator_p_nom_extendable AND Generator_p_nom_mod > 0) AND
Generator_active
expression: Generator_start_up <= Generator_modules_installed
Generator_shut_down_p_fixed_upper:
description: '`Generator-shut_down-p-fixed-upper` — a stop is at most the modules in place, an explicit
row as PyPSA writes it: one where the build is not modular, and the fixed build''s whole count of
modules where it is'
dims: [scenario, snapshot, generator]
where: Generator_committable AND NOT (Generator_p_nom_extendable AND Generator_p_nom_mod > 0) AND
Generator_active
expression: Generator_shut_down <= Generator_modules_installed
Generator_p_ramp_limit_up:
description: '`Generator-p-ramp_limit_up` — a generator raises output no faster than its ramp limit
of the build, and a committed one no further than its start-up ramp in the snapshot it turns on.
A unit that came into the horizon running carries a row at the first snapshot only where its `p_init`
gives the output it brought in, and no unit carries one at the start of a later investment period
— nor does any unit a big M releases instead'
dims: [scenario, snapshot, generator]
where: (Generator_ramp_limit_up OR Generator_ramp_limit_start_up) AND NOT (Generator_committable AND
Generator_p_nom_extendable AND NOT (Generator_p_nom_mod > 0)) AND (position(snapshot, by=snapshot_period,
within=period) > 0 OR (position(snapshot) == 0 AND (Generator_status_initial == 0 OR Generator_p_init)))
AND Generator_active
expression: Generator_p - Generator_previous_p <= Generator_ramp_up_allowance
Generator_p_ramp_limit_down:
description: '`Generator-p-ramp_limit_down` — a generator lowers output no faster than its ramp limit
of the build, and a committed one no further than its shut-down ramp in the snapshot it turns off.
A unit that came into the horizon running carries a row at the first snapshot only where its `p_init`
gives the output it brought in, and no unit carries one at the start of a later investment period
— nor does any unit a big M releases instead'
dims: [scenario, snapshot, generator]
where: (Generator_ramp_limit_down OR Generator_ramp_limit_shut_down) AND NOT (Generator_committable
AND Generator_p_nom_extendable AND NOT (Generator_p_nom_mod > 0)) AND (position(snapshot, by=snapshot_period,
within=period) > 0 OR (position(snapshot) == 0 AND (Generator_status_initial == 0 OR Generator_p_init)))
AND Generator_active
expression: Generator_previous_p - Generator_p <= Generator_ramp_down_allowance
Link_p_ramp_limit_up:
description: '`Link-p-ramp_limit_up` — a link raises flow no faster than its ramp limit of the build,
and a committed one no further than its start-up ramp in the snapshot it turns on. A link that came
into the horizon running carries a row at the first snapshot only where its `p_init` gives the flow
it brought in, and no link carries one at the start of a later investment period — nor does any
link a big M releases instead'
dims: [scenario, snapshot, link]
where: (Link_ramp_limit_up OR Link_ramp_limit_start_up) AND NOT (Link_committable AND Link_p_nom_extendable
AND NOT (Link_p_nom_mod > 0)) AND (position(snapshot, by=snapshot_period, within=period) > 0 OR
(position(snapshot) == 0 AND (Link_status_initial == 0 OR Link_p_init))) AND Link_active
expression: Link_p - Link_previous_p <= Link_ramp_up_allowance
Link_p_ramp_limit_down:
description: '`Link-p-ramp_limit_down` — a link lowers flow no faster than its ramp limit of the build,
and a committed one no further than its shut-down ramp in the snapshot it turns off. A link that
came into the horizon running carries a row at the first snapshot only where its `p_init` gives
the flow it brought in, and no link carries one at the start of a later investment period — nor
does any link a big M releases instead'
dims: [scenario, snapshot, link]
where: (Link_ramp_limit_down OR Link_ramp_limit_shut_down) AND NOT (Link_committable AND Link_p_nom_extendable
AND NOT (Link_p_nom_mod > 0)) AND (position(snapshot, by=snapshot_period, within=period) > 0 OR
(position(snapshot) == 0 AND (Link_status_initial == 0 OR Link_p_init))) AND Link_active
expression: Link_previous_p - Link_p <= Link_ramp_down_allowance
Process_p_ramp_limit_up:
description: '`Process-p-ramp_limit_up` — a process raises internal power no faster than its ramp
limit of the build, and a committed one no further than its start-up ramp in the snapshot it turns
on. A process that came into the horizon running carries a row at the first snapshot only where
its `p_init` gives the internal power it brought in, and no process carries one at the start of
a later investment period — nor does any process a big M releases instead'
dims: [scenario, snapshot, process]
where: (Process_ramp_limit_up OR Process_ramp_limit_start_up) AND NOT (Process_committable AND Process_p_nom_extendable
AND NOT (Process_p_nom_mod > 0)) AND (position(snapshot, by=snapshot_period, within=period) > 0
OR (position(snapshot) == 0 AND (Process_status_initial == 0 OR Process_p_init))) AND Process_active
expression: Process_p - Process_previous_p <= Process_ramp_up_allowance
Process_p_ramp_limit_down:
description: '`Process-p-ramp_limit_down` — a process lowers internal power no faster than its ramp
limit of the build, and a committed one no further than its shut-down ramp in the snapshot it turns
off. A process that came into the horizon running carries a row at the first snapshot only where
its `p_init` gives the internal power it brought in, and no process carries one at the start of
a later investment period — nor does any process a big M releases instead'
dims: [scenario, snapshot, process]
where: (Process_ramp_limit_down OR Process_ramp_limit_shut_down) AND NOT (Process_committable AND
Process_p_nom_extendable AND NOT (Process_p_nom_mod > 0)) AND (position(snapshot, by=snapshot_period,
within=period) > 0 OR (position(snapshot) == 0 AND (Process_status_initial == 0 OR Process_p_init)))
AND Process_active
expression: Process_previous_p - Process_p <= Process_ramp_down_allowance
Bus_nodal_balance:
description: '`Bus-nodal_balance` — what is generated at a bus, storage dispatch and stores included,
less what the links take away, plus what arrives over them after losses and any delay at every port
they deliver to, each process port drawing or delivering at its own rate and each passive branch
carrying its flow, meets the load there, less half of every incident line''s and transformer''s
loss — PyPSA dissipates a branch''s loss half at either end. Each generator, storage unit, store
and load term enters with its component''s `sign` (`constraints.py:1428-1429`, `:1538`), and an
inactive load not at all. A bus nothing is attached to has no row; PyPSA refuses one that carries
load, and this file does not yet.'
dims: [scenario, snapshot, bus]
expression: Bus_injection == 0
expressions:
Generator_previous_status:
description: the commitment state a generator carries into a snapshot — the state it brought into
the horizon at the first, the previous snapshot's after that
dims: [scenario, snapshot, generator]
cases:
opening: {when: position(snapshot) == 0, expression: Generator_status_initial}
otherwise: shift(Generator_status, along=snapshot, offset=1)
Generator_previous_p:
description: the output a generator carries into a snapshot — at the first, the `p_init` it brought
in where it came in running and nothing where it came in off; the previous snapshot's after that
dims: [scenario, snapshot, generator]
cases:
opening: {when: position(snapshot) == 0, expression: Generator_status_initial * Generator_p_init}
otherwise: shift(Generator_p, along=snapshot, offset=1)
Generator_ramp_up_rate:
description: the ramp limit a unit's up row reads — PyPSA's `ramp_limit_up`, or the full build where
it has none, since a start-up ramp alone builds the row
dims: [scenario, snapshot, generator]
cases:
given: {when: Generator_ramp_limit_up, expression: Generator_ramp_limit_up}
otherwise: 1
Generator_ramp_down_rate:
description: the ramp limit a unit's down row reads — PyPSA's `ramp_limit_down`, or the full build
where it has none, since a shut-down ramp alone builds the row
dims: [scenario, snapshot, generator]
cases:
given: {when: Generator_ramp_limit_down, expression: Generator_ramp_limit_down}
otherwise: 1
Generator_start_up_rate:
description: the start-up ramp a unit's up row reads — PyPSA's `ramp_limit_start_up`, or the full
build where it has none
dims: [scenario, generator]
cases:
given: {when: Generator_ramp_limit_start_up, expression: Generator_ramp_limit_start_up}
otherwise: 1
Generator_shut_down_rate:
description: the shut-down ramp a unit's down row reads — PyPSA's `ramp_limit_shut_down`, or the full
build where it has none
dims: [scenario, generator]
cases:
given: {when: Generator_ramp_limit_shut_down, expression: Generator_ramp_limit_shut_down}
otherwise: 1
Generator_ramp_up_allowance:
description: how far a generator may raise output between two snapshots — its ramp limit of the build
while it stays on, plus its start-up ramp in the snapshot it turns on
dims: [scenario, snapshot, generator]
cases:
committed: {when: Generator_committable, expression: Generator_ramp_up_rate * Generator_p_nom_committed
* Generator_previous_status + Generator_start_up_rate * Generator_p_nom_committed * (Generator_status
- Generator_previous_status)}
otherwise: Generator_ramp_up_rate * Generator_p_nom_effective
Generator_ramp_down_allowance:
description: how far a generator may lower output between two snapshots — its ramp limit of the build
while it stays on, plus its shut-down ramp in the snapshot it turns off
dims: [scenario, snapshot, generator]
cases:
committed: {when: Generator_committable, expression: Generator_ramp_down_rate * Generator_p_nom_committed
* Generator_status + Generator_shut_down_rate * Generator_p_nom_committed * (Generator_previous_status
- Generator_status)}
otherwise: Generator_ramp_down_rate * Generator_p_nom_effective
Link_previous_p:
description: the flow a link carries into a snapshot — at the first, the `p_init` it brought in where
it came in running and nothing where it came in off; the previous snapshot's after that
dims: [scenario, snapshot, link]
cases:
opening: {when: position(snapshot) == 0, expression: Link_status_initial * Link_p_init}
otherwise: shift(Link_p, along=snapshot, offset=1)
Link_ramp_up_allowance:
description: how far a link may raise flow between two snapshots — its ramp limit of the build while
it stays on, plus its start-up ramp in the snapshot it turns on
dims: [scenario, snapshot, link]
cases:
committed: {when: Link_committable, expression: Link_ramp_up_rate * Link_p_nom_committed * Link_previous_status
+ Link_start_up_rate * Link_p_nom_committed * (Link_status - Link_previous_status)}
otherwise: Link_ramp_up_rate * Link_p_nom_effective
Link_ramp_down_allowance:
description: how far a link may lower flow between two snapshots — its ramp limit of the build while
it stays on, plus its shut-down ramp in the snapshot it turns off
dims: [scenario, snapshot, link]
cases:
committed: {when: Link_committable, expression: Link_ramp_down_rate * Link_p_nom_committed * Link_status
+ Link_shut_down_rate * Link_p_nom_committed * (Link_previous_status - Link_status)}
otherwise: Link_ramp_down_rate * Link_p_nom_effective
Process_previous_p:
description: the internal power a process carries into a snapshot — at the first, the `p_init` it
brought in where it came in running and nothing where it came in off; the previous snapshot's after
that
dims: [scenario, snapshot, process]
cases:
opening: {when: position(snapshot) == 0, expression: Process_status_initial * Process_p_init}
otherwise: shift(Process_p, along=snapshot, offset=1)
Process_ramp_up_allowance:
description: how far a process may raise internal power between two snapshots — its ramp limit of
the build while it stays on, plus its start-up ramp in the snapshot it turns on
dims: [scenario, snapshot, process]
cases:
committed: {when: Process_committable, expression: Process_ramp_up_rate * Process_p_nom_committed
* Process_previous_status + Process_start_up_rate * Process_p_nom_committed * (Process_status
- Process_previous_status)}
otherwise: Process_ramp_up_rate * Process_p_nom_effective
Process_ramp_down_allowance:
description: how far a process may lower internal power between two snapshots — its ramp limit of
the build while it stays on, plus its shut-down ramp in the snapshot it turns off
dims: [scenario, snapshot, process]
cases:
committed: {when: Process_committable, expression: Process_ramp_down_rate * Process_p_nom_committed
* Process_status + Process_shut_down_rate * Process_p_nom_committed * (Process_previous_status
- Process_status)}
otherwise: Process_ramp_down_rate * Process_p_nom_effective
total_cost:
dims: []
expression: Generator_capex + risk_weighted_opex
description: what the system costs — capacity once per active period at its expected cost over the
scenarios, operation in expectation over the scenarios, and a share of it at the tail
Bus_injection:
dims: [scenario, snapshot, bus]
expression: ((Generator_injection + Link_injection) + Load_injection) + Process_injection
description: what every component puts into a bus, less what it takes out of it; PyPSA writes each
term into the balance, and a load on its right-hand side
Generator_p_nom_effective:
description: the build a generator's limits are taken against — the chosen one where it is extendable,
the given one otherwise
dims: [scenario, generator]
cases:
extendable: {when: Generator_p_nom_extendable, expression: Generator_p_nom_ext}
otherwise: Generator_p_nom
Generator_p_nom_committed:
description: the build a committed unit's ramp rows are taken against — one module where the build
is extendable and modular, the given build otherwise
dims: [scenario, generator]
cases:
modular_build: {when: Generator_p_nom_extendable AND Generator_p_nom_mod > 0, expression: Generator_p_nom_mod}
otherwise: Generator_p_nom
Link_p_nom_effective:
description: the build a link's limits are taken against — the chosen one where it is extendable,
the given one otherwise
dims: [scenario, link]
cases:
extendable: {when: Link_p_nom_extendable, expression: Link_p_nom_ext}
otherwise: Link_p_nom
Link_previous_status:
description: the commitment state a link carries into a snapshot — the state it brought into the horizon
at the first, the previous snapshot's after that
dims: [scenario, snapshot, link]
cases:
opening: {when: position(snapshot) == 0, expression: Link_status_initial}
otherwise: shift(Link_status, along=snapshot, offset=1)
Link_ramp_up_rate:
description: the ramp limit a link's up row reads — PyPSA's `ramp_limit_up`, or the full build where
it has none, since a start-up ramp alone builds the row
dims: [scenario, snapshot, link]
cases:
given: {when: Link_ramp_limit_up, expression: Link_ramp_limit_up}
otherwise: 1
Link_ramp_down_rate:
description: the ramp limit a link's down row reads — PyPSA's `ramp_limit_down`, or the full build
where it has none, since a shut-down ramp alone builds the row
dims: [scenario, snapshot, link]
cases:
given: {when: Link_ramp_limit_down, expression: Link_ramp_limit_down}
otherwise: 1
Link_start_up_rate:
description: the start-up ramp a link's up row reads — PyPSA's `ramp_limit_start_up`, or the full
build where it has none
dims: [scenario, link]
cases:
given: {when: Link_ramp_limit_start_up, expression: Link_ramp_limit_start_up}
otherwise: 1
Link_shut_down_rate:
description: the shut-down ramp a link's down row reads — PyPSA's `ramp_limit_shut_down`, or the full
build where it has none
dims: [scenario, link]
cases:
given: {when: Link_ramp_limit_shut_down, expression: Link_ramp_limit_shut_down}
otherwise: 1
Link_p_nom_committed:
description: the build a committed link's ramp rows are taken against — one module where the build
is extendable and modular, the given build otherwise
dims: [scenario, link]
cases:
modular_build: {when: Link_p_nom_extendable AND Link_p_nom_mod > 0, expression: Link_p_nom_mod}
otherwise: Link_p_nom
Process_p_nom_effective:
description: the build a process's limits are taken against — the chosen one where it is extendable,
the given one otherwise
dims: [scenario, process]
cases:
extendable: {when: Process_p_nom_extendable, expression: Process_p_nom_ext}
otherwise: Process_p_nom
Process_previous_status:
description: the commitment state a process carries into a snapshot — the state it brought into the
horizon at the first, the previous snapshot's after that
dims: [scenario, snapshot, process]
cases:
opening: {when: position(snapshot) == 0, expression: Process_status_initial}
otherwise: shift(Process_status, along=snapshot, offset=1)
Process_ramp_up_rate:
description: the ramp limit a process's up row reads — PyPSA's `ramp_limit_up`, or the full build
where it has none, since a start-up ramp alone builds the row
dims: [scenario, snapshot, process]
cases:
given: {when: Process_ramp_limit_up, expression: Process_ramp_limit_up}
otherwise: 1
Process_ramp_down_rate:
description: the ramp limit a process's down row reads — PyPSA's `ramp_limit_down`, or the full build
where it has none, since a shut-down ramp alone builds the row
dims: [scenario, snapshot, process]
cases:
given: {when: Process_ramp_limit_down, expression: Process_ramp_limit_down}
otherwise: 1
Process_start_up_rate:
description: the start-up ramp a process's up row reads — PyPSA's `ramp_limit_start_up`, or the full
build where it has none
dims: [scenario, process]
cases:
given: {when: Process_ramp_limit_start_up, expression: Process_ramp_limit_start_up}
otherwise: 1
Process_shut_down_rate:
description: the shut-down ramp a process's down row reads — PyPSA's `ramp_limit_shut_down`, or the
full build where it has none
dims: [scenario, process]
cases:
given: {when: Process_ramp_limit_shut_down, expression: Process_ramp_limit_shut_down}
otherwise: 1
Process_p_nom_committed:
description: the build a committed process's ramp rows are taken against — one module where the build
is extendable and modular, the given build otherwise
dims: [scenario, process]
cases:
modular_build: {when: Process_p_nom_extendable AND Process_p_nom_mod > 0, expression: Process_p_nom_mod}
otherwise: Process_p_nom
Generator_capex: {expression: sum(scenario_weight * Generator_p_nom_ext * Generator_capital_cost * Generator_capital_weight)}
risk_weighted_opex: {expression: '(1 - CVaR_omega) * sum(scenario_weight * scenario_opex, over=scenario)
+ CVaR_omega * CVaR'}
Generator_injection: {expression: 'sum(Generator_sign * Generator_p, by=Generator_bus, over=generator,
into=bus)'}
Link_injection: {expression: '-sum(Link_p, by=Link_bus0, over=link, into=bus) + sum(Link_output_arrival,
by=Link_output_bus, over=link_output, into=bus)'}
Load_injection: {expression: 'sum(Load_demand, by=Load_bus, over=load, into=bus)'}
Process_injection: {expression: 'sum(Process_output_arrival, by=Process_output_bus, over=process_output,
into=bus)'}
Link_output_arrival:
description: what a link delivers to an output port at a snapshot — its flow delayed by the port's
`delay` within its investment period, times the port's efficiency at the snapshot the flow arrives;
where the port is `cyclic_delay` the delayed flow wraps from the period's end, and where it is not
the flow still in transit at the period's first snapshots is lost. A port that does not delay (`delay`
zero) delivers its flow unshifted, cyclic or not
dims: [scenario, snapshot, link_output]
cases:
wrapping: {when: Link_output_cyclic_delay, expression: 'shift(at(Link_p, by=Link_output_link, over=link,
into=link_output), along=snapshot, offset=Link_output_delay, edge=''wrap'', by=snapshot_period,
within=period) * Link_efficiency'}
otherwise: shift(at(Link_p, by=Link_output_link, over=link, into=link_output), along=snapshot, offset=Link_output_delay,
edge=0, by=snapshot_period, within=period) * Link_efficiency
Process_output_arrival:
description: what a process transfers at a port at a snapshot — its internal power delayed by the
port's `delay` within its investment period, times the port's rate at the snapshot the transfer
arrives; where the port is `cyclic_delay` the delayed transfer wraps from the period's end, and
where it is not the energy still in transit at the period's first snapshots is lost. A port that
does not delay (`delay` zero) transfers at once, cyclic or not
dims: [scenario, snapshot, process_output]
cases:
wrapping: {when: Process_output_cyclic_delay, expression: 'shift(at(Process_p, by=Process_output_process,
over=process, into=process_output), along=snapshot, offset=Process_output_delay, edge=''wrap'',
by=snapshot_period, within=period) * Process_rate'}
otherwise: shift(at(Process_p, by=Process_output_process, over=process, into=process_output), along=snapshot,
offset=Process_output_delay, edge=0, by=snapshot_period, within=period) * Process_rate
scenario_opex:
dims: [scenario]
expression: ((Generator_opex + Generator_commitment_opex) + Link_opex) + Process_opex
description: what a future costs to run — every operating term, weighted by the snapshot's hours and
its period, before the scenario's own weight; a start and a stop cost what they cost, unweighted,
as PyPSA adds them (`optimize.py:414-429`)
Load_demand:
description: what a load draws from its bus's balance — its demand times its sign where it is active,
nothing where it is not, since PyPSA drops an inactive load from the balance (`constraints.py:1537-1538`)
dims: [scenario, snapshot, load]
cases:
active: {when: Load_active, expression: Load_sign * Load_p_set}
otherwise: 0
Generator_opex: {expression: 'sum(sum(((Generator_p * Generator_marginal_cost) * snapshot_weightings_objective)
* at(period_weight_objective, by=snapshot_period, over=period, into=snapshot), over=generator),
over=snapshot) + sum(sum((((Generator_p * Generator_p) * Generator_marginal_cost_quadratic) * snapshot_weightings_objective)
* at(period_weight_objective, by=snapshot_period, over=period, into=snapshot), over=generator),
over=snapshot)'}
Generator_commitment_opex: {expression: 'sum(sum(((Generator_status * Generator_stand_by_cost) * snapshot_weightings_objective)
* at(period_weight_objective, by=snapshot_period, over=period, into=snapshot), over=generator),
over=snapshot) + sum(sum(Generator_start_up * Generator_start_up_cost, over=generator), over=snapshot)
+ sum(sum(Generator_shut_down * Generator_shut_down_cost, over=generator), over=snapshot)'}
Link_opex: {expression: 'sum(sum(((Link_p * Link_marginal_cost) * snapshot_weightings_objective) * at(period_weight_objective,
by=snapshot_period, over=period, into=snapshot), over=link), over=snapshot) + sum(sum((((Link_p
* Link_p) * Link_marginal_cost_quadratic) * snapshot_weightings_objective) * at(period_weight_objective,
by=snapshot_period, over=period, into=snapshot), over=link), over=snapshot)'}
Process_opex: {expression: 'sum(sum(((Process_p * Process_marginal_cost) * snapshot_weightings_objective)
* at(period_weight_objective, by=snapshot_period, over=period, into=snapshot), over=process), over=snapshot)
+ sum(sum((((Process_p * Process_p) * Process_marginal_cost_quadratic) * snapshot_weightings_objective)
* at(period_weight_objective, by=snapshot_period, over=period, into=snapshot), over=process), over=snapshot)'}
objective: {sense: minimize, expression: total_cost}
The prep — every table the spec declares, from the network — and the solve:
from differential.pypsa.prep import relation, static, varying, weighting
n = build() # the network from the PyPSA tab
sources = {
'snapshot': pl.Series('snapshot', list(timesteps(n)), dtype=pl.Datetime('us')),
'bus': pl.Series('bus', list(names(n.buses.index).astype(str)), dtype=pl.String),
**{
dim: pl.Series(dim, list(names(n.static(component).index).astype(str)), dtype=pl.String)
for component, dim in DIM.items()
},
**scenarios(n),
**periods(n),
**carriers(n, multi),
'Generator_bus': relation(n, 'Generator', 'bus'),
'Link_bus0': relation(n, 'Link', 'bus0'),
'Load_bus': relation(n, 'Load', 'bus'),
'snapshot_weightings_objective': weighting(n, 'objective'),
'Generator_sign': per_component('Generator', first_scenario(n.generators['sign'])),
'Load_p_set': varying(n, 'Load', 'p_set'),
'Load_sign': per_component('Load', first_scenario(loads['sign'])),
'Load_active': per_component('Load', first_scenario(loads['active']), bool),
}
with sps.solve('differential/pypsa/rungs/rung_46_initial_output.yaml', sources) as solution:
solution.objective # 101294.125
The network, rung_46_initial_output.py in the corpus — the spine plus what this rung adds:
# SPDX-FileCopyrightText: mathspec Contributors
#
# SPDX-License-Identifier: MIT
"""Rung 46: the output brought in — units that came in running with a given `p_init` ramp from it into the first snapshot."""
from __future__ import annotations
import spine
def build():
"""The spine plus a warm bus served by fixed, extendable and committable units that each carry a `p_init`, with a dear backup."""
n = spine.build()
n.add('Bus', 'warm')
ramps = {'ramp_limit_up': 0.25, 'ramp_limit_down': 0.25}
n.add('Generator', 'warm_gen', bus='warm', p_nom=60, marginal_cost=3, p_init=10, **ramps)
n.add('Link', 'warm_link', bus0='north', bus1='warm', p_nom=40, marginal_cost=4, p_init=0, **ramps)
n.add(
'Process', 'warm_proc', bus0='south', bus1='warm', rate0=-1.25, p_nom=40, marginal_cost=600, p_init=40, **ramps
)
n.add(
'Generator',
'warm_ext',
bus='warm',
p_nom_extendable=True,
p_nom_max=40,
capital_cost=5,
marginal_cost=2,
p_init=5,
**ramps,
)
n.add(
'Generator',
'warm_com',
bus='warm',
committable=True,
p_nom=50,
p_min_pu=0.2,
marginal_cost=2.5,
p_init=30,
ramp_limit_start_up=0.4,
ramp_limit_shut_down=0.4,
**ramps,
)
n.add(
'Generator',
'warm_com_ext',
bus='warm',
committable=True,
p_nom_extendable=True,
p_nom_max=40,
capital_cost=5,
marginal_cost=2.2,
p_init=5,
**ramps,
)
n.add('Generator', 'warm_backup', bus='warm', p_nom=300, marginal_cost=500)
n.add('Load', 'warm_load', bus='warm', p_set=[150, 150, 60, 60])
return n
The data¶
Every table this spec declares was first declared by a lower rung; its values here are in the prep above.