| function _add_power_trajectory_eqs!( |
| model::JuMP.Model, |
| g::ThermalUnit, |
| formulation_prod_vars::Gar1962.ProdVars, |
| formulation_power_trajectories::ArrCon2004.PowerTrajectories, |
| formulation_status_vars::Gar1962.StatusVars, |
| sc::UnitCommitmentScenario, |
| )::Nothing |
| if isempty(g.startup_curve) || isempty(g.shutdown_curve) |
| return |
| end |
|
|
| T_del = model[:instance].time |
| if haskey(model, :eq_ramp_up) && haskey(model, :eq_ramp_down) |
| for t in 1:T_del |
| key = (sc.name, g.name, t) |
| if haskey(model[:eq_ramp_up], key) |
| delete(model, model[:eq_ramp_up][key]) |
| delete!(model[:eq_ramp_up], key) |
| end |
| if haskey(model[:eq_ramp_down], key) |
| delete(model, model[:eq_ramp_down][key]) |
| delete!(model[:eq_ramp_down], key) |
| end |
| end |
| end |
|
|
| T = model[:instance].time |
| UD = length(g.startup_curve) |
| DD = length(g.shutdown_curve) |
| P_U = g.startup_curve |
| P_D = g.shutdown_curve |
| if haskey(model, :segprod) |
| for t in 1:T_del |
| su_min = isempty(P_U) ? 0.0 : minimum(P_U) |
| if su_min < g.min_power[t] |
| key1 = (sc.name, g.name, t, 1) |
| if haskey(model[:segprod], key1) |
| set_lower_bound(model[:segprod][key1], su_min - g.min_power[t]) |
| end |
| end |
| end |
| end |
| RU = g.ramp_up_limit |
| RD = g.ramp_down_limit |
| gn = g.name |
|
|
| is_on = model[:is_on] |
| switch_on = model[:switch_on] |
| switch_off= model[:switch_off] |
|
|
| eq_startup_lb = _init(model, :eq_arr_startup_lb) |
| eq_startup_ub = _init(model, :eq_arr_startup_ub) |
| eq_shutdown_lb = _init(model, :eq_arr_shutdown_lb) |
| eq_shutdown_ub = _init(model, :eq_arr_shutdown_ub) |
| eq_ramp_up = _init(model, :eq_arr_ramp_up) |
| eq_ramp_down = _init(model, :eq_arr_ramp_down) |
| eq_overlap_logic = _init(model, :eq_overlap_logic) |
| eq_overlap_su_lb = _init(model, :eq_overlap_su_lb) |
| eq_overlap_sd_lb = _init(model, :eq_overlap_sd_lb) |
|
|
| for t in 1:T |
| Pmax = g.max_power[t] |
| Pmin = g.min_power[t] |
| p_t = _actual_power(model, g, sc, t) |
| su_prod = sum( |
| P_U[i] * switch_on[gn, t - i + 1] |
| for i in 1:UD if t - i + 1 >= 1; |
| init = 0.0 |
| ) |
| |
| su_sum = sum( |
| switch_on[gn, t - i + 1] |
| for i in 1:UD if t - i + 1 >= 1; |
| init = 0 |
| ) |
| |
| sd_prod = sum( |
| P_D[i] * switch_off[gn, t + DD - i + 1] |
| for i in 1:DD if t + DD - i + 1 <= T; |
| init = 0.0 |
| ) |
| |
| sd_sum = sum( |
| switch_off[gn, t + i] |
| for i in 1:DD if t + i <= T; |
| init = 0 |
| ) |
|
|
| |
| eq_startup_lb[sc.name, gn, t] = @constraint( |
| model, |
| p_t >= Pmin * (is_on[gn, t] - su_sum - sd_sum) + su_prod |
| ) |
|
|
| |
| eq_shutdown_lb[sc.name, gn, t] = @constraint( |
| model, |
| p_t >= Pmin * (is_on[gn, t] - su_sum - sd_sum) + sd_prod |
| ) |
|
|
| |
| eq_startup_ub[sc.name, gn, t] = @constraint( |
| model, |
| p_t <= su_prod + Pmax * (is_on[gn, t] - su_sum) |
| ) |
|
|
| |
| eq_shutdown_ub[sc.name, gn, t] = @constraint( |
| model, |
| p_t <= sd_prod + Pmax * (is_on[gn, t] - sd_sum) |
| ) |
| |
| |
| eq_overlap_logic[sc.name, gn, t] = @constraint( |
| model, |
| switch_on[gn, t] + sum( |
| switch_off[gn, t + j] |
| for j in 0:(UD + DD - 2) if t + j <= T; |
| init = 0 |
| ) <= 1 |
| ) |
|
|
| |
| eq_overlap_su_lb[sc.name, gn, t] = @constraint( |
| model, |
| p_t >= P_U[UD] * (su_sum + sd_sum - 1) |
| ) |
|
|
| eq_overlap_sd_lb[sc.name, gn, t] = @constraint( |
| model, |
| p_t >= P_D[1] * (su_sum + sd_sum - 1) |
| ) |
|
|
| |
| if t == 1 |
| g.initial_status > 0 || continue |
| p_prev = g.initial_power |
| else |
| p_prev = _actual_power(model, g, sc, t - 1) |
| end |
| eq_ramp_up[sc.name, gn, t] = @constraint( |
| model, |
| p_t - p_prev <= Pmax * su_sum + RU * (is_on[gn, t] - su_sum) |
| ) |
|
|
| |
| if t > 1 |
| p_prev_rd = _actual_power(model, g, sc, t - 1) |
| sd_sum_prev = sum( |
| switch_off[gn, (t-1) + i] |
| for i in 1:DD if (t-1) + i <= T; |
| init = 0 |
| ) |
| eq_ramp_down[sc.name, gn, t] = @constraint( |
| model, |
| p_prev_rd - p_t <= Pmax * sd_sum_prev + RD * (is_on[gn, t-1] - sd_sum_prev) |
| ) |
| end |
|
|
| reserve_t = _total_reserves(model, g, sc)[t] |
| @constraint( |
| model, |
| reserve_t <= Pmax * (is_on[gn, t] - su_sum - sd_sum) |
| ) |
| end |
| return |
| end |
|
|