| """ |
| convert_to_subhourly(instance, next_instance) |
|
|
| Return a deep-copied instance with half the original time step and twice as many |
| time periods. |
|
|
| Call this before assigning startup/shutdown curves. |
| """ |
| function convert_to_subhourly( |
| instance::UnitCommitmentInstance, |
| next_instance::UnitCommitmentInstance, |
| )::UnitCommitmentInstance |
| modified = deepcopy(instance) |
| convert_to_subhourly!(modified, next_instance) |
| return modified |
| end |
|
|
| function convert_to_subhourly!( |
| instance::UnitCommitmentInstance, |
| next_instance::UnitCommitmentInstance, |
| )::Nothing |
| length(instance.scenarios) == length(next_instance.scenarios) || |
| error("instance and next_instance must have the same number of scenarios") |
|
|
| for (sc_current, sc_next) in zip(instance.scenarios, next_instance.scenarios) |
| _validate_subhourly_inputs(sc_current, sc_next) |
| _convert_scenario_to_subhourly!(sc_current, sc_next) |
| end |
|
|
| instance.time *= 2 |
| return |
| end |
|
|
| function _validate_subhourly_inputs( |
| sc_current::UnitCommitmentScenario, |
| sc_next::UnitCommitmentScenario, |
| )::Nothing |
| sc_current.time == sc_next.time || |
| error("current and next scenario must have the same time dimension") |
| sc_current.time_step == sc_next.time_step || |
| error("current and next scenario must have the same time_step") |
| sc_current.time_step % 2 == 0 || |
| error("time_step $(sc_current.time_step) must be even") |
|
|
| length(sc_current.buses) == length(sc_next.buses) || |
| error("bus counts do not match") |
| length(sc_current.thermal_units) == length(sc_next.thermal_units) || |
| error("thermal unit counts do not match") |
| length(sc_current.lines) == length(sc_next.lines) || |
| error("line counts do not match") |
| length(sc_current.reserves) == length(sc_next.reserves) || |
| error("reserve counts do not match") |
| length(sc_current.price_sensitive_loads) == |
| length(sc_next.price_sensitive_loads) || |
| error("price-sensitive load counts do not match") |
| length(sc_current.profiled_units) == length(sc_next.profiled_units) || |
| error("profiled unit counts do not match") |
| length(sc_current.storage_units) == length(sc_next.storage_units) || |
| error("storage unit counts do not match") |
|
|
| for g in sc_current.thermal_units |
| isempty(g.startup_curve) && isempty(g.shutdown_curve) || error( |
| "call convert_to_subhourly! before assigning startup/shutdown curves", |
| ) |
| end |
| return |
| end |
|
|
| function _convert_scenario_to_subhourly!( |
| sc_current::UnitCommitmentScenario, |
| sc_next::UnitCommitmentScenario, |
| )::Nothing |
| original_time = sc_current.time |
|
|
| for i in eachindex(sc_current.buses) |
| sc_current.buses[i].load = interpolate_values( |
| sc_current.buses[i].load, |
| sc_next.buses[i].load[1], |
| ) |
| end |
|
|
| for i in eachindex(sc_current.thermal_units) |
| g = sc_current.thermal_units[i] |
| g_next = sc_next.thermal_units[i] |
|
|
| g.max_power = repeat_values(g.max_power) |
| g.min_power = repeat_values(g.min_power) |
| g.must_run = repeat_values(g.must_run) |
| g.min_power_cost = repeat_values(g.min_power_cost) |
| g.commitment_status = repeat_values(g.commitment_status) |
|
|
| for j in eachindex(g.cost_segments) |
| g.cost_segments[j].cost = interpolate_values( |
| g.cost_segments[j].cost, |
| g_next.cost_segments[j].cost[1], |
| ) ./ 2.0 |
| g.cost_segments[j].mw = interpolate_values( |
| g.cost_segments[j].mw, |
| g_next.cost_segments[j].mw[1], |
| ) |
| end |
|
|
| g.ramp_up_limit /= 2.0 |
| g.ramp_down_limit /= 2.0 |
| g.min_uptime *= 2 |
| g.min_downtime *= 2 |
|
|
| for startup_cat in g.startup_categories |
| startup_cat.delay *= 2 |
| end |
|
|
| if g.initial_status !== nothing |
| g.initial_status *= 2 |
| end |
| end |
|
|
| for i in eachindex(sc_current.lines) |
| line = sc_current.lines[i] |
| line.normal_flow_limit = repeat_values(line.normal_flow_limit) |
| line.emergency_flow_limit = repeat_values(line.emergency_flow_limit) |
| line.flow_limit_penalty = repeat_values(line.flow_limit_penalty) |
| end |
|
|
| for i in eachindex(sc_current.reserves) |
| reserve = sc_current.reserves[i] |
| reserve_next = sc_next.reserves[i] |
| reserve.amount = interpolate_values(reserve.amount, reserve_next.amount[1]) |
| end |
|
|
| for i in eachindex(sc_current.price_sensitive_loads) |
| ps = sc_current.price_sensitive_loads[i] |
| ps_next = sc_next.price_sensitive_loads[i] |
| ps.demand = interpolate_values(ps.demand, ps_next.demand[1]) |
| ps.revenue = interpolate_values(ps.revenue, ps_next.revenue[1]) |
| end |
|
|
| for i in eachindex(sc_current.profiled_units) |
| pu = sc_current.profiled_units[i] |
| pu_next = sc_next.profiled_units[i] |
| pu.min_power = interpolate_values(pu.min_power, pu_next.min_power[1]) |
| pu.max_power = interpolate_values(pu.max_power, pu_next.max_power[1]) |
| pu.cost = interpolate_values(pu.cost, pu_next.cost[1]) |
| end |
|
|
| for i in eachindex(sc_current.storage_units) |
| su = sc_current.storage_units[i] |
| su_next = sc_next.storage_units[i] |
|
|
| su.min_level = interpolate_values(su.min_level, su_next.min_level[1]) |
| su.max_level = interpolate_values(su.max_level, su_next.max_level[1]) |
|
|
| su.simultaneous_charge_and_discharge = |
| repeat_values(su.simultaneous_charge_and_discharge) |
| su.charge_cost = interpolate_values(su.charge_cost, su_next.charge_cost[1]) |
| su.discharge_cost = |
| interpolate_values(su.discharge_cost, su_next.discharge_cost[1]) |
| su.charge_efficiency = repeat_values(su.charge_efficiency) |
| su.discharge_efficiency = repeat_values(su.discharge_efficiency) |
| su.loss_factor = repeat_values(su.loss_factor) |
|
|
| su.min_charge_rate = repeat_values(su.min_charge_rate) |
| su.max_charge_rate = repeat_values(su.max_charge_rate) |
| su.min_discharge_rate = repeat_values(su.min_discharge_rate) |
| su.max_discharge_rate = repeat_values(su.max_discharge_rate) |
| end |
|
|
| sc_current.power_balance_penalty = repeat_values(sc_current.power_balance_penalty) |
| sc_current.time = 2 * original_time |
| sc_current.time_step ÷= 2 |
| return |
| end |
|
|
| function interpolate_values(values::Vector{T}, next_first::T) where {T<:Real} |
| n = length(values) |
| result = Vector{Float64}(undef, 2 * n) |
|
|
| for i in 1:(n - 1) |
| result[2 * i - 1] = values[i] |
| result[2 * i] = (values[i] + values[i + 1]) / 2 |
| end |
|
|
| result[2 * n - 1] = values[n] |
| result[2 * n] = (values[n] + next_first) / 2 |
| return result |
| end |
|
|
| function repeat_values(values::Vector{T}) where {T} |
| n = length(values) |
| result = Vector{T}(undef, 2 * n) |
|
|
| for i in 1:n |
| result[2 * i - 1] = values[i] |
| result[2 * i] = values[i] |
| end |
|
|
| return result |
| end |
|
|