# 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 for adding variables, constraints, and objective function terms # related to the binary commitment, startup and shutdown decisions of units function _add_unit_commitment!( model::JuMP.Model, g::ThermalUnit, formulation::Formulation, ) if !all(g.must_run) && any(g.must_run) error("Partially must-run units are not currently supported") end if g.initial_power === nothing || g.initial_status === nothing error("Initial conditions for $(g.name) must be provided") end # Variables _add_startup_shutdown_vars!(model, g) _add_status_vars!(model, g, formulation.status_vars) # Constraints and objective function _add_min_uptime_downtime_eqs!(model, g) _add_startup_cost_eqs!(model, g, formulation.startup_costs) _add_status_eqs!(model, g, formulation.status_vars) _add_commitment_status_eqs!(model, g) return end # Function for adding variables, constraints, and objective function terms # related to the continuous dispatch decisions of units function _add_unit_dispatch!( model::JuMP.Model, g::ThermalUnit, formulation::Formulation, sc::UnitCommitmentScenario, ) # Variables _add_production_vars!(model, g, formulation.prod_vars, sc) _add_spinning_reserve_vars!(model, g, sc) _add_flexiramp_reserve_vars!(model, g, sc) # Constraints and objective function _add_net_injection_eqs!(model, g, sc) # [1] # _add_production_limit_eqs!(model, g, formulation.prod_vars, sc) # [1] _add_production_limit_eqs!(model, g, formulation.prod_vars, formulation.power_trajectories, sc) _add_production_piecewise_linear_eqs!( model, g, formulation.prod_vars, formulation.pwl_costs, formulation.status_vars, sc, ) _add_ramp_eqs!( model, g, formulation.prod_vars, formulation.ramping, formulation.status_vars, sc, ) _add_power_trajectory_eqs!( model, g, formulation.prod_vars, formulation.power_trajectories, formulation.status_vars, sc, ) _add_startup_shutdown_limit_eqs!(model, g, sc) return end _is_initially_on(g::ThermalUnit)::Float64 = (g.initial_status > 0 ? 1.0 : 0.0) function _add_spinning_reserve_vars!( model::JuMP.Model, g::ThermalUnit, sc::UnitCommitmentScenario, )::Nothing reserve = _init(model, :reserve) reserve_shortfall = _init(model, :reserve_shortfall) for r in g.reserves r.type == "spinning" || continue for t in 1:model[:instance].time reserve[sc.name, r.name, g.name, t] = @variable(model, lower_bound = 0, base_name = "reserve_$(sc.name)_$(r.name)_$(g.name)_$(t)") if (sc.name, r.name, t) ∉ keys(reserve_shortfall) reserve_shortfall[sc.name, r.name, t] = @variable(model, lower_bound = 0, base_name = "reserve_shortfall_$(sc.name)_$(r.name)_$(t)") if r.shortfall_penalty < 0 set_upper_bound(reserve_shortfall[sc.name, r.name, t], 0.0) end end end end return end function _add_flexiramp_reserve_vars!( model::JuMP.Model, g::ThermalUnit, sc::UnitCommitmentScenario, )::Nothing upflexiramp = _init(model, :upflexiramp) upflexiramp_shortfall = _init(model, :upflexiramp_shortfall) mfg = _init(model, :mfg) dwflexiramp = _init(model, :dwflexiramp) dwflexiramp_shortfall = _init(model, :dwflexiramp_shortfall) for t in 1:model[:instance].time # maximum feasible generation, \bar{g_{its}} in Wang & Hobbs (2016) mfg[sc.name, g.name, t] = @variable(model, lower_bound = 0, base_name = "mfg_$(sc.name)_$(g.name)_$(t)") for r in g.reserves r.type == "flexiramp" || continue upflexiramp[sc.name, r.name, g.name, t] = @variable(model) # up-flexiramp, ur_{it} in Wang & Hobbs (2016) dwflexiramp[sc.name, r.name, g.name, t] = @variable(model) # down-flexiramp, dr_{it} in Wang & Hobbs (2016) if (sc.name, r.name, t) ∉ keys(upflexiramp_shortfall) upflexiramp_shortfall[sc.name, r.name, t] = @variable(model, lower_bound = 0, base_name = "upflexiramp_shortfall_$(sc.name)_$(r.name)_$(t)") dwflexiramp_shortfall[sc.name, r.name, t] = @variable(model, lower_bound = 0, base_name = "dwflexiramp_shortfall_$(sc.name)_$(r.name)_$(t)") if r.shortfall_penalty < 0 set_upper_bound( upflexiramp_shortfall[sc.name, r.name, t], 0.0, ) set_upper_bound( dwflexiramp_shortfall[sc.name, r.name, t], 0.0, ) end end end end return end function _add_startup_shutdown_vars!(model::JuMP.Model, g::ThermalUnit)::Nothing startup = _init(model, :startup) for t in 1:model[:instance].time for s in 1:length(g.startup_categories) startup[g.name, t, s] = @variable(model, binary = true, base_name = "startup_$(g.name)_$(t)_$(s)") end end return end function _add_startup_shutdown_limit_eqs!( model::JuMP.Model, g::ThermalUnit, sc::UnitCommitmentScenario, )::Nothing eq_shutdown_limit = _init(model, :eq_shutdown_limit) eq_startup_limit = _init(model, :eq_startup_limit) is_on = model[:is_on] prod_above = model[:prod_above] reserve = _total_reserves(model, g, sc) switch_off = model[:switch_off] switch_on = model[:switch_on] T = model[:instance].time for t in 1:T # Startup limit eq_startup_limit[sc.name, g.name, t] = @constraint( model, prod_above[sc.name, g.name, t] + reserve[t] <= (g.max_power[t] - g.min_power[t]) * is_on[g.name, t] - max(0, g.max_power[t] - g.startup_limit) * switch_on[g.name, t] ) # Shutdown limit if g.initial_power > g.shutdown_limit eq_shutdown_limit[sc.name, g.name, 0] = @constraint(model, switch_off[g.name, 1] <= 0) end if t < T eq_shutdown_limit[sc.name, g.name, t] = @constraint( model, prod_above[sc.name, g.name, t] <= (g.max_power[t] - g.min_power[t]) * is_on[g.name, t] - max(0, g.max_power[t] - g.shutdown_limit) * switch_off[g.name, t+1] ) end end return end function _add_ramp_eqs!( model::JuMP.Model, g::ThermalUnit, formulation::RampingFormulation, sc::UnitCommitmentScenario, )::Nothing prod_above = model[:prod_above] reserve = _total_reserves(model, g, sc) eq_ramp_up = _init(model, :eq_ramp_up) eq_ramp_down = _init(model, :eq_ramp_down) for t in 1:model[:instance].time # Ramp up limit if t == 1 if _is_initially_on(g) == 1 eq_ramp_up[sc.name, g.name, t] = @constraint( model, prod_above[sc.name, g.name, t] + reserve[t] <= (g.initial_power - g.min_power[t]) + g.ramp_up_limit ) end else eq_ramp_up[sc.name, g.name, t] = @constraint( model, prod_above[sc.name, g.name, t] + reserve[t] <= prod_above[sc.name, g.name, t-1] + g.ramp_up_limit ) end # Ramp down limit if t == 1 if _is_initially_on(g) == 1 eq_ramp_down[sc.name, g.name, t] = @constraint( model, prod_above[sc.name, g.name, t] >= (g.initial_power - g.min_power[t]) - g.ramp_down_limit ) end else eq_ramp_down[sc.name, g.name, t] = @constraint( model, prod_above[sc.name, g.name, t] >= prod_above[sc.name, g.name, t-1] - g.ramp_down_limit ) end end end function _add_power_trajectory_eqs!( model::JuMP.Model, g::ThermalUnit, formulation_prod_vars::ProductionVarsFormulation, formulation_power_trajectories::Nothing, formulation_status_vars::StatusVarsFormulation, sc::UnitCommitmentScenario, )::Nothing return end function _add_power_trajectory_eqs!( model::JuMP.Model, g::ThermalUnit, formulation_prod_vars::ProductionVarsFormulation, formulation_power_trajectories::PowerTrajectoriesFormulation, formulation_status_vars::StatusVarsFormulation, sc::UnitCommitmentScenario, )::Nothing T = model[:instance].time prod_above = model[:prod_above] is_on = model[:is_on] switch_on = model[:switch_on] switch_off = model[:switch_off] eq_traj_lower_startup = _init(model, :eq_traj_lower_startup) eq_traj_lower_shutdown = _init(model, :eq_traj_lower_shutdown) eq_traj_upper_startup = _init(model, :eq_traj_upper_startup) eq_traj_upper_shutdown = _init(model, :eq_traj_upper_shutdown) eq_traj_ramp_up = _init(model, :eq_traj_ramp_up) eq_traj_ramp_down = _init(model, :eq_traj_ramp_down) UD = hasproperty(g, :startup_curve) ? length(g.startup_curve) : 0 DD = hasproperty(g, :shutdown_curve) ? length(g.shutdown_curve) : 0 P_U = hasproperty(g, :startup_curve) ? g.startup_curve : zeros(UD) P_D = hasproperty(g, :shutdown_curve) ? g.shutdown_curve : zeros(DD) for t in 1:T set_lower_bound(prod_above[sc.name, g.name, t], -g.min_power[t]) end for t in 1:T # sum_{i=1}^{UD} y(k-i+1) sum_y_UD = @expression(model, sum(switch_on[g.name, t-i+1] for i in 1:UD if t-i+1 >= 1; init=0)) # sum_{i=1}^{DD} z(k+i) sum_z_DD = @expression(model, sum(switch_off[g.name, t+i] for i in 1:DD if t+i <= T; init=0)) # [v(k) - sum_z - sum_y] base_status_term = @expression(model, is_on[g.name, t] - sum_z_DD - sum_y_UD) # [1] & [2] start_power_above = @expression(model, sum((P_U[i] - g.min_power[t]) * switch_on[g.name, t-i+1] for i in 1:UD if t-i+1 >= 1; init=0)) shut_power_above = @expression(model, sum((P_D[i] - g.min_power[t]) * switch_off[g.name, t+DD-i+1] for i in 1:DD if t+DD-i+1 >= 1 && t+DD-i+1 <= T; init=0)) eq_traj_lower_startup[sc.name, g.name, t] = @constraint( model, prod_above[sc.name, g.name, t] >= start_power_above - g.min_power[t] * sum_z_DD ) eq_traj_lower_shutdown[sc.name, g.name, t] = @constraint( model, prod_above[sc.name, g.name, t] >= shut_power_above - g.min_power[t] * sum_y_UD ) # [3] eq_traj_upper_startup[sc.name, g.name, t] = @constraint( model, prod_above[sc.name, g.name, t] <= start_power_above + (g.max_power[t] - g.min_power[t]) * (is_on[g.name, t] - sum_y_UD) ) # [4] eq_traj_upper_shutdown[sc.name, g.name, t] = @constraint( model, prod_above[sc.name, g.name, t] <= shut_power_above + (g.max_power[t] - g.min_power[t]) * (is_on[g.name, t] - sum_z_DD) ) # [5,6] if t == 1 eq_traj_ramp_up[sc.name, g.name, t] = @constraint( model, prod_above[sc.name, g.name, t] - (g.initial_power - g.min_power[t]) <= g.max_power[t] * sum_y_UD + g.ramp_up_limit * (is_on[g.name, t] - sum_y_UD) ) # z(k+i-1) sum_z_DD_prev = @expression(model, sum(switch_off[g.name, t+i-1] for i in 1:DD if t+i-1 <= T && t+i-1 >= 1; init=0)) eq_traj_ramp_down[sc.name, g.name, t] = @constraint( model, (g.initial_power - g.min_power[t]) - prod_above[sc.name, g.name, t] <= g.max_power[t] * sum_z_DD_prev + g.ramp_down_limit * (_is_initially_on(g) - sum_z_DD_prev) ) else eq_traj_ramp_up[sc.name, g.name, t] = @constraint( model, prod_above[sc.name, g.name, t] - prod_above[sc.name, g.name, t-1] <= g.max_power[t] * sum_y_UD + g.ramp_up_limit * (is_on[g.name, t] - sum_y_UD) ) sum_z_DD_prev = @expression(model, sum(switch_off[g.name, t+i-1] for i in 1:DD if t+i-1 <= T && t+i-1 >= 1; init=0)) eq_traj_ramp_down[sc.name, g.name, t] = @constraint( model, prod_above[sc.name, g.name, t-1] - prod_above[sc.name, g.name, t] <= g.max_power[t] * sum_z_DD_prev + g.ramp_down_limit * (is_on[g.name, t-1] - sum_z_DD_prev) ) end end return end function _add_min_uptime_downtime_eqs!( model::JuMP.Model, g::ThermalUnit, )::Nothing is_on = model[:is_on] switch_off = model[:switch_off] switch_on = model[:switch_on] eq_min_uptime = _init(model, :eq_min_uptime) eq_min_downtime = _init(model, :eq_min_downtime) T = model[:instance].time for t in 1:T # Minimum up-time eq_min_uptime[g.name, t] = @constraint( model, sum(switch_on[g.name, i] for i in (t-g.min_uptime+1):t if i >= 1) <= is_on[g.name, t] ) # Minimum down-time eq_min_downtime[g.name, t] = @constraint( model, sum( switch_off[g.name, i] for i in (t-g.min_downtime+1):t if i >= 1 ) <= 1 - is_on[g.name, t] ) # Minimum up/down-time for initial periods if t == 1 if g.initial_status > 0 eq_min_uptime[g.name, 0] = @constraint( model, sum( switch_off[g.name, i] for i in 1:(g.min_uptime-g.initial_status) if i <= T ) == 0 ) else eq_min_downtime[g.name, 0] = @constraint( model, sum( switch_on[g.name, i] for i in 1:(g.min_downtime+g.initial_status) if i <= T ) == 0 ) end end end end function _add_commitment_status_eqs!(model::JuMP.Model, g::ThermalUnit)::Nothing is_on = model[:is_on] T = model[:instance].time eq_commitment_status = _init(model, :eq_commitment_status) for t in 1:T if g.commitment_status[t] !== nothing eq_commitment_status[g.name, t] = @constraint( model, is_on[g.name, t] == (g.commitment_status[t] ? 1.0 : 0.0) ) end end return end function _add_net_injection_eqs!( model::JuMP.Model, g::ThermalUnit, sc::UnitCommitmentScenario, )::Nothing expr_net_injection = model[:expr_net_injection] for t in 1:model[:instance].time # Add to net injection expression add_to_expression!( expr_net_injection[sc.name, g.bus.name, t], model[:prod_above][sc.name, g.name, t], 1.0, ) add_to_expression!( expr_net_injection[sc.name, g.bus.name, t], model[:is_on][g.name, t], g.min_power[t], ) end end function _total_reserves(model, g, sc)::Vector T = model[:instance].time reserve = [0.0 for _ in 1:T] spinning_reserves = [r for r in g.reserves if r.type == "spinning"] if !isempty(spinning_reserves) reserve += [ sum( model[:reserve][sc.name, r.name, g.name, t] for r in spinning_reserves ) for t in 1:model[:instance].time ] end return reserve end function _actual_power( model::JuMP.Model, g::ThermalUnit, sc::UnitCommitmentScenario, t::Int, )::AffExpr prod_above = model[:prod_above] is_on = model[:is_on] return prod_above[sc.name, g.name, t] + g.min_power[t] * is_on[g.name, t] end function _in_startup_process( model::JuMP.Model, g::ThermalUnit, t::Int, )::AffExpr switch_on = model[:switch_on] UD = length(g.startup_curve) T = model[:instance].time return sum( switch_on[g.name, t - i + 1] for i in 1:UD if (t - i + 1) >= 1; init = AffExpr(0.0), ) end function _in_shutdown_process( model::JuMP.Model, g::ThermalUnit, t::Int, )::AffExpr switch_off = model[:switch_off] DD = length(g.shutdown_curve) T = model[:instance].time return sum( switch_off[g.name, t + i] for i in 1:DD if (t + i) <= T; init = AffExpr(0.0), ) end