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@@ -2,7 +2,7 @@ name = "UnitCommitment"
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uuid = "64606440-39ea-11e9-0f29-3303a1d3d877"
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authors = ["Santos Xavier, Alinson <axavier@anl.gov>"]
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repo = "https://github.com/ANL-CEEESA/UnitCommitment.jl"
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version = "0.2.2"
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version = "0.2.3"
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[deps]
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DataStructures = "864edb3b-99cc-5e75-8d2d-829cb0a9cfe8"
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@@ -28,13 +28,14 @@ Each section is described in detail below. For a complete example, see [case14](
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### Parameters
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This section describes system-wide parameters, such as power balance penalties, optimization parameters, such as the length of the planning horizon and the time.
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This section describes system-wide parameters, such as power balance and reserve shortfall penalties, and optimization parameters, such as the length of the planning horizon and the time.
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| Key | Description | Default | Time series?
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| :----------------------------- | :------------------------------------------------ | :------: | :------------:
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| `Time horizon (h)` | Length of the planning horizon (in hours). | Required | N
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| `Time step (min)` | Length of each time step (in minutes). Must be a divisor of 60 (e.g. 60, 30, 20, 15, etc). | `60` | N
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| `Power balance penalty ($/MW)` | Penalty for system-wide shortage or surplus in production (in $/MW). This is charged per time step. For example, if there is a shortage of 1 MW for three time steps, three times this amount will be charged. | `1000.0` | Y
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| `Reserve shortfall penalty ($/MW)` | Penalty for system-wide shortage in meeting reserve requirements (in $/MW). This is charged per time step. Negative value implies reserve constraints must always be satisfied. | `-1` | Y
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#### Example
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@@ -42,7 +43,8 @@ This section describes system-wide parameters, such as power balance penalties,
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{
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"Parameters": {
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"Time horizon (h)": 4,
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"Power balance penalty ($/MW)": 1000.0
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"Power balance penalty ($/MW)": 1000.0,
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"Reserve shortfall penalty ($/MW)": -1.0
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}
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}
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```
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Binary file not shown.
@@ -98,6 +98,10 @@ function _from_json(json; repair = true)
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json["Parameters"]["Power balance penalty (\$/MW)"],
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default = [1000.0 for t in 1:T],
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)
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shortfall_penalty = timeseries(
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json["Parameters"]["Reserve shortfall penalty (\$/MW)"],
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default = [-1.0 for t in 1:T],
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)
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# Read buses
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for (bus_name, dict) in json["Buses"]
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@@ -264,6 +268,7 @@ function _from_json(json; repair = true)
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instance = UnitCommitmentInstance(
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T,
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power_balance_penalty,
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shortfall_penalty,
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units,
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buses,
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lines,
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@@ -72,6 +72,8 @@ end
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mutable struct UnitCommitmentInstance
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time::Int
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power_balance_penalty::Vector{Float64}
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"Penalty for failing to meet reserve requirement."
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shortfall_penalty::Vector{Float64}
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units::Vector{Unit}
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buses::Vector{Bus}
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lines::Vector{TransmissionLine}
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@@ -4,15 +4,11 @@
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function _add_bus!(model::JuMP.Model, b::Bus)::Nothing
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net_injection = _init(model, :expr_net_injection)
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reserve = _init(model, :expr_reserve)
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curtail = _init(model, :curtail)
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for t in 1:model[:instance].time
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# Fixed load
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net_injection[b.name, t] = AffExpr(-b.load[t])
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# Reserves
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reserve[b.name, t] = AffExpr()
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# Load curtailment
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curtail[b.name, t] =
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@variable(model, lower_bound = 0, upper_bound = b.load[t])
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@@ -29,13 +29,28 @@ end
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function _add_reserve_eqs!(model::JuMP.Model)::Nothing
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eq_min_reserve = _init(model, :eq_min_reserve)
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for t in 1:model[:instance].time
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instance = model[:instance]
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for t in 1:instance.time
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# Equation (68) in Kneuven et al. (2020)
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# As in Morales-España et al. (2013a)
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# Akin to the alternative formulation with max_power_avail
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# from Carrión and Arroyo (2006) and Ostrowski et al. (2012)
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shortfall_penalty = instance.shortfall_penalty[t]
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eq_min_reserve[t] = @constraint(
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model,
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sum(
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model[:expr_reserve][b.name, t] for b in model[:instance].buses
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) >= model[:instance].reserves.spinning[t]
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sum(model[:reserve][g.name, t] for g in instance.units) +
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(shortfall_penalty >= 0 ? model[:reserve_shortfall][t] : 0.0) >=
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instance.reserves.spinning[t]
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)
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# Account for shortfall contribution to objective
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if shortfall_penalty >= 0
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add_to_expression!(
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model[:obj],
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shortfall_penalty,
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model[:reserve_shortfall][t],
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)
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end
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end
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return
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end
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@@ -44,12 +44,16 @@ _is_initially_on(g::Unit)::Float64 = (g.initial_status > 0 ? 1.0 : 0.0)
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function _add_reserve_vars!(model::JuMP.Model, g::Unit)::Nothing
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reserve = _init(model, :reserve)
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reserve_shortfall = _init(model, :reserve_shortfall)
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for t in 1:model[:instance].time
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if g.provides_spinning_reserves[t]
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reserve[g.name, t] = @variable(model, lower_bound = 0)
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else
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reserve[g.name, t] = 0.0
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end
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reserve_shortfall[t] =
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(model[:instance].shortfall_penalty[t] >= 0) ?
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@variable(model, lower_bound = 0) : 0.0
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end
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return
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end
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@@ -210,11 +214,5 @@ function _add_net_injection_eqs!(model::JuMP.Model, g::Unit)::Nothing
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model[:is_on][g.name, t],
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g.min_power[t],
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)
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# Add to reserves expression
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add_to_expression!(
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model[:expr_reserve][g.bus.name, t],
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model[:reserve][g.name, t],
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1.0,
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)
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end
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end
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@@ -51,6 +51,12 @@ function solution(model::JuMP.Model)::OrderedDict
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sol["Switch on"] = timeseries(model[:switch_on], instance.units)
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sol["Switch off"] = timeseries(model[:switch_off], instance.units)
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sol["Reserve (MW)"] = timeseries(model[:reserve], instance.units)
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sol["Reserve shortfall (MW)"] = OrderedDict(
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t =>
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(instance.shortfall_penalty[t] >= 0) ?
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round(value(model[:reserve_shortfall][t]), digits = 5) : 0.0 for
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t in 1:instance.time
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)
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sol["Net injection (MW)"] =
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timeseries(model[:net_injection], instance.buses)
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sol["Load curtail (MW)"] = timeseries(model[:curtail], instance.buses)
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@@ -324,11 +324,16 @@ function _validate_reserve_and_demand(instance, solution, tol = 0.01)
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# Verify spinning reserves
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reserve =
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sum(solution["Reserve (MW)"][g.name][t] for g in instance.units)
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if reserve < instance.reserves.spinning[t] - tol
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reserve_shortfall =
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(instance.shortfall_penalty[t] >= 0) ?
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solution["Reserve shortfall (MW)"][t] : 0
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if reserve + reserve_shortfall < instance.reserves.spinning[t] - tol
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@error @sprintf(
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"Insufficient spinning reserves at time %d (%.2f should be %.2f)",
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"Insufficient spinning reserves at time %d (%.2f + %.2f should be %.2f)",
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t,
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reserve,
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reserve_shortfall,
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instance.reserves.spinning[t],
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)
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err_count += 1
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@@ -20,8 +20,14 @@ if ENABLE_LARGE_TESTS
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end
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function _small_test(formulation::Formulation)::Nothing
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instance = UnitCommitment.read_benchmark("matpower/case118/2017-02-01")
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UnitCommitment.build_model(instance = instance, formulation = formulation) # should not crash
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instances = ["matpower/case118/2017-02-01", "test/case14"]
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for instance in instances
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# Should not crash
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UnitCommitment.build_model(
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instance = UnitCommitment.read_benchmark(instance),
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formulation = formulation,
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)
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end
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return
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end
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