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# Copyright (C) 2020, UChicago Argonne, LLC. All rights reserved.
# Released under the modified BSD license. See COPYING.md for more details.
"""
solution(model::JuMP.Model)::OrderedDict
Extracts the optimal solution from the UC.jl model. The model must be solved beforehand.
# Example
```julia
UnitCommitment.optimize!(model)
solution = UnitCommitment.solution(model)
```
"""
function solution(model::JuMP.Model)::OrderedDict
instance, T = model[:instance], model[:instance].time
function timeseries(vars, collection; sc = nothing)
if sc === nothing
return OrderedDict(
b.name =>
[round(value(vars[b.name, t]), digits = 5) for t in 1:T] for
b in collection
)
else
return OrderedDict(
b.name => [
round(value(vars[sc.name, b.name, t]), digits = 5) for
t in 1:T
] for b in collection
)
end
end
function production_cost(g, sc)
return [
value(model[:is_on][g.name, t]) * g.min_power_cost[t] + sum(
Float64[
value(model[:segprod][sc.name, g.name, t, k]) *
g.cost_segments[k].cost[t] for
k in 1:length(g.cost_segments)
],
) for t in 1:T
]
end
function production(g, sc)
return [
value(model[:is_on][g.name, t]) * g.min_power[t] + sum(
Float64[
value(model[:segprod][sc.name, g.name, t, k]) for
k in 1:length(g.cost_segments)
],
) for t in 1:T
]
end
function startup_cost(g, sc)
S = length(g.startup_categories)
return [
sum(
g.startup_categories[s].cost *
value(model[:startup][g.name, t, s]) for s in 1:S
) for t in 1:T
]
end
sol = OrderedDict()
for sc in instance.scenarios
sol[sc.name] = OrderedDict()
if !isempty(sc.thermal_units)
sol[sc.name]["Thermal production (MW)"] = OrderedDict(
g.name => production(g, sc) for g in sc.thermal_units
)
sol[sc.name]["Thermal production cost (\$)"] = OrderedDict(
g.name => production_cost(g, sc) for g in sc.thermal_units
)
sol[sc.name]["Startup cost (\$)"] = OrderedDict(
g.name => startup_cost(g, sc) for g in sc.thermal_units
)
sol[sc.name]["Is on"] = timeseries(model[:is_on], sc.thermal_units)
sol[sc.name]["Switch on"] =
timeseries(model[:switch_on], sc.thermal_units)
sol[sc.name]["Switch off"] =
timeseries(model[:switch_off], sc.thermal_units)
sol[sc.name]["Net injection (MW)"] =
timeseries(model[:net_injection], sc.buses, sc = sc)
sol[sc.name]["Load curtail (MW)"] =
timeseries(model[:curtail], sc.buses, sc = sc)
end
if !isempty(sc.lines)
sol[sc.name]["Line overflow (MW)"] =
timeseries(model[:overflow], sc.lines, sc = sc)
end
if !isempty(sc.price_sensitive_loads)
sol[sc.name]["Price-sensitive loads (MW)"] =
timeseries(model[:loads], sc.price_sensitive_loads, sc = sc)
end
if !isempty(sc.profiled_units)
sol[sc.name]["Profiled production (MW)"] =
timeseries(model[:prod_profiled], sc.profiled_units, sc = sc)
sol[sc.name]["Profiled production cost (\$)"] = OrderedDict(
pu.name => [
value(model[:prod_profiled][sc.name, pu.name, t]) *
pu.cost[t] for t in 1:instance.time
] for pu in sc.profiled_units
)
end
if !isempty(sc.storage_units)
sol[sc.name]["Storage level (MWh)"] =
timeseries(model[:storage_level], sc.storage_units, sc = sc)
sol[sc.name]["Is charging"] =
timeseries(model[:is_charging], sc.storage_units, sc = sc)
sol[sc.name]["Storage charging rates (MW)"] =
timeseries(model[:charge_rate], sc.storage_units, sc = sc)
sol[sc.name]["Storage charging cost (\$)"] = OrderedDict(
su.name => [
value(model[:charge_rate][sc.name, su.name, t]) *
su.charge_cost[t] for t in 1:instance.time
] for su in sc.storage_units
)
sol[sc.name]["Is discharging"] =
timeseries(model[:is_discharging], sc.storage_units, sc = sc)
sol[sc.name]["Storage discharging rates (MW)"] =
timeseries(model[:discharge_rate], sc.storage_units, sc = sc)
sol[sc.name]["Storage discharging cost (\$)"] = OrderedDict(
su.name => [
value(model[:discharge_rate][sc.name, su.name, t]) *
su.discharge_cost[t] for t in 1:instance.time
] for su in sc.storage_units
)
end
sol[sc.name]["Spinning reserve (MW)"] = OrderedDict(
r.name => OrderedDict(
g.name => [
value(model[:reserve][sc.name, r.name, g.name, t]) for t in 1:instance.time
] for g in r.thermal_units
) for r in sc.reserves if r.type == "spinning"
)
sol[sc.name]["Spinning reserve shortfall (MW)"] = OrderedDict(
r.name => [
value(model[:reserve_shortfall][sc.name, r.name, t]) for
t in 1:instance.time
] for r in sc.reserves if r.type == "spinning"
)
sol[sc.name]["Up-flexiramp (MW)"] = OrderedDict(
r.name => OrderedDict(
g.name => [
value(model[:upflexiramp][sc.name, r.name, g.name, t]) for t in 1:instance.time
] for g in r.thermal_units
) for r in sc.reserves if r.type == "flexiramp"
)
sol[sc.name]["Up-flexiramp shortfall (MW)"] = OrderedDict(
r.name => [
value(model[:upflexiramp_shortfall][sc.name, r.name, t]) for t in 1:instance.time
] for r in sc.reserves if r.type == "flexiramp"
)
sol[sc.name]["Down-flexiramp (MW)"] = OrderedDict(
r.name => OrderedDict(
g.name => [
value(model[:dwflexiramp][sc.name, r.name, g.name, t]) for t in 1:instance.time
] for g in r.thermal_units
) for r in sc.reserves if r.type == "flexiramp"
)
sol[sc.name]["Down-flexiramp shortfall (MW)"] = OrderedDict(
r.name => [
value(model[:dwflexiramp_shortfall][sc.name, r.name, t]) for t in 1:instance.time
] for r in sc.reserves if r.type == "flexiramp"
)
end
if length(instance.scenarios) == 1
return first(values(sol))
else
return sol
end
end
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