EridanusQ
init
43c68a3
# UnitCommitment.jl: Optimization Package for Security-Constrained Unit Commitment
# Copyright (C) 2020, UChicago Argonne, LLC. All rights reserved.
# Released under the modified BSD license. See COPYING.md for more details.
function _add_production_vars!(
model::JuMP.Model,
g::ThermalUnit,
formulation_prod_vars::Gar1962.ProdVars,
sc::UnitCommitmentScenario,
)::Nothing
prod_above = _init(model, :prod_above)
segprod = _init(model, :segprod)
for t in 1:model[:instance].time
for k in 1:length(g.cost_segments)
segprod[sc.name, g.name, t, k] = @variable(model, lower_bound = 0, base_name = "segprod_$(sc.name)_$(g.name)_$(t)_$(k)")
end
prod_above[sc.name, g.name, t] = @variable(model, lower_bound = 0, base_name = "prod_above_$(sc.name)_$(g.name)_$(t)")
end
return
end
function _add_production_limit_eqs!(
model::JuMP.Model,
g::ThermalUnit,
formulation_prod_vars::Gar1962.ProdVars,
# [1]
formulation_power_trajectories::Nothing,
sc::UnitCommitmentScenario,
)::Nothing
eq_prod_limit = _init(model, :eq_prod_limit)
is_on = model[:is_on]
prod_above = model[:prod_above]
reserve = _total_reserves(model, g, sc)
gn = g.name
for t in 1:model[:instance].time
# Objective function terms for production costs
# Part of (69) of Kneuven et al. (2020) as C^R_g * u_g(t) term
# Production limit
# Equation (18) in Kneuven et al. (2020)
# as \bar{p}_g(t) \le \bar{P}_g u_g(t)
# amk: this is a weaker version of (20) and (21) in Kneuven et al. (2020)
# but keeping it here in case those are not present
power_diff = max(g.max_power[t], 0.0) - max(g.min_power[t], 0.0)
if power_diff < 1e-7
power_diff = 0.0
end
eq_prod_limit[sc.name, gn, t] = @constraint(
model,
prod_above[sc.name, gn, t] + reserve[t] <=
power_diff * is_on[gn, t]
)
end
return
end
# [2]
function _add_production_limit_eqs!(
model::JuMP.Model,
g::ThermalUnit,
formulation_prod_vars::Gar1962.ProdVars,
formulation_power_trajectories::ArrCon2004.PowerTrajectories,
sc::UnitCommitmentScenario
)::Nothing
if isempty(g.startup_curve) || isempty(g.shutdown_curve)
eq_prod_limit = _init(model, :eq_prod_limit)
is_on = model[:is_on]
prod_above = model[:prod_above]
reserve = _total_reserves(model, g, sc)
gn = g.name
for t in 1:model[:instance].time
power_diff = max(g.max_power[t], 0.0) - max(g.min_power[t], 0.0)
power_diff < 1e-7 && (power_diff = 0.0)
eq_prod_limit[sc.name, gn, t] = @constraint(
model,
prod_above[sc.name, gn, t] + reserve[t] <=
power_diff * is_on[gn, t]
)
end
return
end
prod_above = model[:prod_above]
for t in 1:model[:instance].time
set_lower_bound(prod_above[sc.name, g.name, t], -g.min_power[t])
end
eq_prod_limit = _init(model, :eq_prod_limit)
is_on = model[:is_on]
switch_on = model[:switch_on]
switch_off = model[:switch_off]
reserve = _total_reserves(model, g, sc)
gn = g.name
T = model[:instance].time
UD = length(g.startup_curve)
DD = length(g.shutdown_curve)
P_U = g.startup_curve
P_D = g.shutdown_curve
for t in 1:T
Pmin = g.min_power[t]
Pmax = g.max_power[t]
power_diff = max(Pmax, 0.0) - max(Pmin, 0.0)
power_diff < 1e-7 && (power_diff = 0.0)
# Σ y(t-i+1)
sum_y = @expression(model,
sum(switch_on[gn, t-i+1] for i in 1:UD if t-i+1 >= 1; init=0))
# Σ z(t+i)
sum_z = @expression(model,
sum(switch_off[gn, t+i] for i in 1:DD if t+i <= T; init=0))
# Σ (P_U[i]-Pmin)·y(t-i+1)
su_above = @expression(model,
sum((P_U[i] - Pmin) * switch_on[gn, t-i+1]
for i in 1:UD if t-i+1 >= 1; init=0.0))
# Σ (P_D[i]-Pmin)·z(t+DD-i+1)
sd_above = @expression(model,
sum((P_D[i] - Pmin) * switch_off[gn, t+DD-i+1]
for i in 1:DD if t+DD-i+1 >= 1 && t+DD-i+1 <= T; init=0.0))
# [3]约束(3)(4)
eq_prod_limit[sc.name, gn, t] = @constraint(
model,
prod_above[sc.name, gn, t] + reserve[t] <=
su_above +
sd_above +
power_diff * (is_on[gn, t] - sum_y - sum_z)
)
end
return
end