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@ -11,29 +11,26 @@ function _add_unit!(model::JuMP.Model, g::Unit, f::Formulation)
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end
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# Variables
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_add_production_vars!(model, g, f)
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_add_reserve_vars!(model, g, f)
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_add_startup_shutdown_vars!(model, g, f)
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_add_status_vars!(model, g, f)
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_add_production_vars!(model, g)
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_add_reserve_vars!(model, g)
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_add_startup_shutdown_vars!(model, g)
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_add_status_vars!(model, g)
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# Constraints and objective function
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_add_min_uptime_downtime_eqs!(model, g, f)
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_add_net_injection_eqs!(model, g, f)
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_add_production_eqs!(model, g, f)
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_add_min_uptime_downtime_eqs!(model, g)
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_add_net_injection_eqs!(model, g)
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_add_production_limit_eqs!(model, g)
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_add_production_piecewise_linear_eqs!(model, g)
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_add_ramp_eqs!(model, g, f.ramping)
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_add_startup_shutdown_costs_eqs!(model, g, f)
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_add_startup_shutdown_limit_eqs!(model, g, f)
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_add_status_eqs!(model, g, f)
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_add_startup_shutdown_costs_eqs!(model, g)
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_add_startup_shutdown_limit_eqs!(model, g)
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_add_status_eqs!(model, g)
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return
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end
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_is_initially_on(g::Unit)::Float64 = (g.initial_status > 0 ? 1.0 : 0.0)
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function _add_production_vars!(
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model::JuMP.Model,
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g::Unit,
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formulation::Formulation,
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)::Nothing
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function _add_production_vars!(model::JuMP.Model, g::Unit)::Nothing
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prod_above = _init(model, :prod_above)
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segprod = _init(model, :segprod)
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for t in 1:model[:instance].time
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@ -45,57 +42,82 @@ function _add_production_vars!(
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return
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end
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function _add_production_eqs!(
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function _add_production_limit_eqs!(model::JuMP.Model, g::Unit)::Nothing
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eq_prod_limit = _init(model, :eq_prod_limit)
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is_on = model[:is_on]
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prod_above = model[:prod_above]
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reserve = model[:reserve]
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gn = g.name
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for t in 1:model[:instance].time
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# Objective function terms for production costs
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# Part of (69) of Kneuven et al. (2020) as C^R_g * u_g(t) term
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add_to_expression!(model[:obj], is_on[gn, t], g.min_power_cost[t])
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# Production limit
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# Equation (18) in Kneuven et al. (2020)
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# as \bar{p}_g(t) \le \bar{P}_g u_g(t)
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# amk: this is a weaker version of (20) and (21) in Kneuven et al. (2020)
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# but keeping it here in case those are not present
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power_diff = max(g.max_power[t], 0.0) - max(g.min_power[t], 0.0)
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if power_diff < 1e-7
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power_diff = 0.0
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end
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eq_prod_limit[gn, t] = @constraint(
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model,
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prod_above[gn, t] + reserve[gn, t] <= power_diff * is_on[gn, t]
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)
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end
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end
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function _add_production_piecewise_linear_eqs!(
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model::JuMP.Model,
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g::Unit,
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formulation::Formulation,
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)::Nothing
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eq_prod_above_def = _init(model, :eq_prod_above_def)
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eq_prod_limit = _init(model, :eq_prod_limit)
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eq_segprod_limit = _init(model, :eq_segprod_limit)
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is_on = model[:is_on]
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K = length(g.cost_segments)
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prod_above = model[:prod_above]
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reserve = model[:reserve]
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segprod = model[:segprod]
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gn = g.name
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K = length(g.cost_segments)
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for t in 1:model[:instance].time
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# Objective function terms for production costs
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add_to_expression!(model[:obj], is_on[g.name, t], g.min_power_cost[t])
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# Definition of production
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# Equation (43) in Kneuven et al. (2020)
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eq_prod_above_def[gn, t] = @constraint(
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model,
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prod_above[gn, t] == sum(segprod[gn, t, k] for k in 1:K)
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)
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for k in 1:K
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# Equation (42) in Kneuven et al. (2020)
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# Without this, solvers will add a lot of implied bound cuts to
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# have this same effect.
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# NB: when reading instance, UnitCommitment.jl already calculates
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# difference between max power for segments k and k-1 so the
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# value of cost_segments[k].mw[t] is the max production *for
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# that segment*
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eq_segprod_limit[gn, t, k] = @constraint(
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model,
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segprod[gn, t, k] <= g.cost_segments[k].mw[t] * is_on[gn, t]
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)
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# Also add this as an explicit upper bound on segprod to make the
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# solver's work a bit easier
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set_upper_bound(segprod[gn, t, k], g.cost_segments[k].mw[t])
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# Objective function
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# Equation (44) in Kneuven et al. (2020)
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add_to_expression!(
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model[:obj],
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segprod[g.name, t, k],
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segprod[gn, t, k],
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g.cost_segments[k].cost[t],
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)
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end
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# Production limits (piecewise-linear segments)
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for k in 1:K
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eq_segprod_limit[g.name, t, k] = @constraint(
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model,
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segprod[g.name, t, k] <=
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g.cost_segments[k].mw[t] * is_on[g.name, t]
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)
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end
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# Definition of production
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eq_prod_above_def[g.name, t] = @constraint(
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model,
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prod_above[g.name, t] == sum(segprod[g.name, t, k] for k in 1:K)
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)
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# Production limit
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eq_prod_limit[g.name, t] = @constraint(
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model,
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prod_above[g.name, t] + reserve[g.name, t] <=
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(g.max_power[t] - g.min_power[t]) * is_on[g.name, t]
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)
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end
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return
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end
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function _add_reserve_vars!(
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model::JuMP.Model,
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g::Unit,
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formulation::Formulation,
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)::Nothing
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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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for t in 1:model[:instance].time
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if g.provides_spinning_reserves[t]
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@ -107,11 +129,7 @@ function _add_reserve_vars!(
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return
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end
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function _add_reserve_eqs!(
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model::JuMP.Model,
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g::Unit,
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formulation::Formulation,
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)::Nothing
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function _add_reserve_eqs!(model::JuMP.Model, g::Unit)::Nothing
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reserve = model[:reserve]
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for t in 1:model[:instance].time
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add_to_expression!(expr_reserve[g.bus.name, t], reserve[g.name, t], 1.0)
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@ -119,11 +137,7 @@ function _add_reserve_eqs!(
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return
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end
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function _add_startup_shutdown_vars!(
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model::JuMP.Model,
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g::Unit,
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formulation::Formulation,
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)::Nothing
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function _add_startup_shutdown_vars!(model::JuMP.Model, g::Unit)::Nothing
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startup = _init(model, :startup)
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for t in 1:model[:instance].time
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for s in 1:length(g.startup_categories)
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@ -133,11 +147,7 @@ function _add_startup_shutdown_vars!(
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return
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end
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function _add_startup_shutdown_limit_eqs!(
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model::JuMP.Model,
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g::Unit,
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formulation::Formulation,
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)::Nothing
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function _add_startup_shutdown_limit_eqs!(model::JuMP.Model, g::Unit)::Nothing
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eq_shutdown_limit = _init(model, :eq_shutdown_limit)
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eq_startup_limit = _init(model, :eq_startup_limit)
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is_on = model[:is_on]
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@ -172,11 +182,7 @@ function _add_startup_shutdown_limit_eqs!(
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return
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end
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function _add_startup_shutdown_costs_eqs!(
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model::JuMP.Model,
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g::Unit,
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formulation::Formulation,
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)::Nothing
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function _add_startup_shutdown_costs_eqs!(model::JuMP.Model, g::Unit)::Nothing
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eq_startup_choose = _init(model, :eq_startup_choose)
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eq_startup_restrict = _init(model, :eq_startup_restrict)
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S = length(g.startup_categories)
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@ -219,11 +225,7 @@ function _add_startup_shutdown_costs_eqs!(
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return
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end
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function _add_status_vars!(
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model::JuMP.Model,
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g::Unit,
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formulation::Formulation,
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)::Nothing
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function _add_status_vars!(model::JuMP.Model, g::Unit)::Nothing
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is_on = _init(model, :is_on)
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switch_on = _init(model, :switch_on)
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switch_off = _init(model, :switch_off)
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@ -241,11 +243,7 @@ function _add_status_vars!(
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return
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end
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function _add_status_eqs!(
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model::JuMP.Model,
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g::Unit,
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formulation::Formulation,
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)::Nothing
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function _add_status_eqs!(model::JuMP.Model, g::Unit)::Nothing
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eq_binary_link = _init(model, :eq_binary_link)
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eq_switch_on_off = _init(model, :eq_switch_on_off)
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is_on = model[:is_on]
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@ -323,11 +321,7 @@ function _add_ramp_eqs!(
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end
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end
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function _add_min_uptime_downtime_eqs!(
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model::JuMP.Model,
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g::Unit,
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formulation::Formulation,
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)::Nothing
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function _add_min_uptime_downtime_eqs!(model::JuMP.Model, g::Unit)::Nothing
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is_on = model[:is_on]
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switch_off = model[:switch_off]
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switch_on = model[:switch_on]
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@ -370,11 +364,7 @@ function _add_min_uptime_downtime_eqs!(
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end
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end
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function _add_net_injection_eqs!(
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model::JuMP.Model,
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g::Unit,
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formulation::Formulation,
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)::Nothing
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function _add_net_injection_eqs!(model::JuMP.Model, g::Unit)::Nothing
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expr_net_injection = model[:expr_net_injection]
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for t in 1:model[:instance].time
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# Add to net injection expression
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