mirror of
https://github.com/ANL-CEEESA/UnitCommitment.jl.git
synced 2025-12-07 00:38:51 -06:00
Reformat source code
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@@ -5,12 +5,12 @@
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function _add_flexiramp_vars!(model::JuMP.Model, g::Unit)::Nothing
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upflexiramp = _init(model, :upflexiramp)
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upflexiramp_shortfall = _init(model, :upflexiramp_shortfall)
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mfg=_init(model,:mfg)
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mfg = _init(model, :mfg)
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dwflexiramp = _init(model, :dwflexiramp)
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dwflexiramp_shortfall = _init(model, :dwflexiramp_shortfall)
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for t in 1:model[:instance].time
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# maximum feasible generation, \bar{g_{its}} in Wang & Hobbs (2016)
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mfg[g.name,t]=@variable(model, lower_bound = 0)
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mfg[g.name, t] = @variable(model, lower_bound = 0)
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if g.provides_flexiramp_reserves[t]
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upflexiramp[g.name, t] = @variable(model) # up-flexiramp, ur_{it} in Wang & Hobbs (2016)
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dwflexiramp[g.name, t] = @variable(model) # down-flexiramp, dr_{it} in Wang & Hobbs (2016)
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@@ -28,8 +28,6 @@ function _add_flexiramp_vars!(model::JuMP.Model, g::Unit)::Nothing
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return
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end
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function _add_ramp_eqs!(
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model::JuMP.Model,
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g::Unit,
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@@ -43,110 +41,145 @@ function _add_ramp_eqs!(
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RU = g.ramp_up_limit
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RD = g.ramp_down_limit
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gn = g.name
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minp=g.min_power
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maxp=g.max_power
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initial_power=g.initial_power
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minp = g.min_power
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maxp = g.max_power
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initial_power = g.initial_power
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is_on = model[:is_on]
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prod_above = model[:prod_above]
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upflexiramp=model[:upflexiramp]
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dwflexiramp=model[:dwflexiramp]
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mfg=model[:mfg]
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upflexiramp = model[:upflexiramp]
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dwflexiramp = model[:dwflexiramp]
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mfg = model[:mfg]
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for t in 1:model[:instance].time
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@constraint(model, prod_above[gn, t] + (is_on[gn,t]*minp[t])
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<=mfg[gn,t]) # Eq. (19) in Wang & Hobbs (2016)
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@constraint(model, mfg[gn,t]<= is_on[gn,t]* maxp[t]) # Eq. (22) in Wang & Hobbs (2016)
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if t!=model[:instance].time
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@constraint(model, minp[t] * (is_on[gn,t+1]+is_on[gn,t]-1) <=
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prod_above[gn, t] - dwflexiramp[gn,t] +(is_on[gn,t]*minp[t])
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) # first inequality of Eq. (20) in Wang & Hobbs (2016)
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@constraint(model, prod_above[gn, t] - dwflexiramp[gn,t] + (is_on[gn,t]*minp[t]) <=
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mfg[gn,t+1]
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+ (maxp[t] * (1-is_on[gn,t+1]))
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) # second inequality of Eq. (20) in Wang & Hobbs (2016)
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@constraint(model, minp[t] * (is_on[gn,t+1]+is_on[gn,t]-1) <=
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prod_above[gn, t] + upflexiramp[gn,t] + (is_on[gn,t]*minp[t])
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) # first inequality of Eq. (21) in Wang & Hobbs (2016)
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@constraint(model, prod_above[gn, t] + upflexiramp[gn,t] +(is_on[gn,t]*minp[t]) <=
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mfg[gn,t+1] + (maxp[t] * (1-is_on[gn,t+1]))
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) # second inequality of Eq. (21) in Wang & Hobbs (2016)
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if t!=1
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@constraint(model, mfg[gn,t]<=prod_above[gn,t-1] + (is_on[gn,t-1]*minp[t])
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+ (RU * is_on[gn,t-1])
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+ (SU*(is_on[gn,t] - is_on[gn,t-1]))
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+ maxp[t] * (1-is_on[gn,t])
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) # Eq. (23) in Wang & Hobbs (2016)
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@constraint(model, (prod_above[gn,t-1] + (is_on[gn,t-1]*minp[t]))
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- (prod_above[gn,t] + (is_on[gn,t]*minp[t]))
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<= RD * is_on[gn,t]
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+ SD * (is_on[gn,t-1] - is_on[gn,t])
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+ maxp[t] * (1-is_on[gn,t-1])
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) # Eq. (25) in Wang & Hobbs (2016)
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@constraint(
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model,
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prod_above[gn, t] + (is_on[gn, t] * minp[t]) <= mfg[gn, t]
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) # Eq. (19) in Wang & Hobbs (2016)
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@constraint(model, mfg[gn, t] <= is_on[gn, t] * maxp[t]) # Eq. (22) in Wang & Hobbs (2016)
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if t != model[:instance].time
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@constraint(
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model,
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minp[t] * (is_on[gn, t+1] + is_on[gn, t] - 1) <=
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prod_above[gn, t] - dwflexiramp[gn, t] +
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(is_on[gn, t] * minp[t])
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) # first inequality of Eq. (20) in Wang & Hobbs (2016)
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@constraint(
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model,
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prod_above[gn, t] - dwflexiramp[gn, t] +
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(is_on[gn, t] * minp[t]) <=
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mfg[gn, t+1] + (maxp[t] * (1 - is_on[gn, t+1]))
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) # second inequality of Eq. (20) in Wang & Hobbs (2016)
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@constraint(
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model,
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minp[t] * (is_on[gn, t+1] + is_on[gn, t] - 1) <=
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prod_above[gn, t] +
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upflexiramp[gn, t] +
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(is_on[gn, t] * minp[t])
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) # first inequality of Eq. (21) in Wang & Hobbs (2016)
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@constraint(
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model,
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prod_above[gn, t] +
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upflexiramp[gn, t] +
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(is_on[gn, t] * minp[t]) <=
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mfg[gn, t+1] + (maxp[t] * (1 - is_on[gn, t+1]))
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) # second inequality of Eq. (21) in Wang & Hobbs (2016)
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if t != 1
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@constraint(
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model,
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mfg[gn, t] <=
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prod_above[gn, t-1] +
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(is_on[gn, t-1] * minp[t]) +
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(RU * is_on[gn, t-1]) +
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(SU * (is_on[gn, t] - is_on[gn, t-1])) +
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maxp[t] * (1 - is_on[gn, t])
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) # Eq. (23) in Wang & Hobbs (2016)
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@constraint(
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model,
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(prod_above[gn, t-1] + (is_on[gn, t-1] * minp[t])) -
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(prod_above[gn, t] + (is_on[gn, t] * minp[t])) <=
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RD * is_on[gn, t] +
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SD * (is_on[gn, t-1] - is_on[gn, t]) +
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maxp[t] * (1 - is_on[gn, t-1])
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) # Eq. (25) in Wang & Hobbs (2016)
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else
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@constraint(model, mfg[gn,t]<=initial_power
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+ (RU * is_initially_on)
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+ (SU*(is_on[gn,t] - is_initially_on))
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+ maxp[t] * (1-is_on[gn,t])
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) # Eq. (23) in Wang & Hobbs (2016) for the first time period
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@constraint(model, initial_power
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- (prod_above[gn,t] + (is_on[gn,t]*minp[t]))
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<= RD * is_on[gn,t]
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+ SD * (is_initially_on - is_on[gn,t])
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+ maxp[t] * (1-is_initially_on)
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) # Eq. (25) in Wang & Hobbs (2016) for the first time period
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@constraint(
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model,
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mfg[gn, t] <=
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initial_power +
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(RU * is_initially_on) +
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(SU * (is_on[gn, t] - is_initially_on)) +
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maxp[t] * (1 - is_on[gn, t])
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) # Eq. (23) in Wang & Hobbs (2016) for the first time period
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@constraint(
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model,
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initial_power -
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(prod_above[gn, t] + (is_on[gn, t] * minp[t])) <=
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RD * is_on[gn, t] +
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SD * (is_initially_on - is_on[gn, t]) +
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maxp[t] * (1 - is_initially_on)
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) # Eq. (25) in Wang & Hobbs (2016) for the first time period
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end
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@constraint(model, mfg[gn,t]<=
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(SD*(is_on[gn,t] - is_on[gn,t+1]))
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+ (maxp[t] * is_on[gn,t+1])
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) # Eq. (24) in Wang & Hobbs (2016)
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@constraint(model, -RD * is_on[gn,t+1]
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-SD * (is_on[gn,t]-is_on[gn,t+1])
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-maxp[t] * (1-is_on[gn,t])
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<= upflexiramp[gn,t]
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) # first inequality of Eq. (26) in Wang & Hobbs (2016)
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@constraint(model, upflexiramp[gn,t] <=
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RU * is_on[gn,t]
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+ SU * (is_on[gn,t+1]-is_on[gn,t])
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+ maxp[t] * (1-is_on[gn,t+1])
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) # second inequality of Eq. (26) in Wang & Hobbs (2016)
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@constraint(model, -RU * is_on[gn,t]
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-SU * (is_on[gn,t+1]-is_on[gn,t])
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-maxp[t] * (1-is_on[gn,t+1])
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<= dwflexiramp[gn,t]
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) # first inequality of Eq. (27) in Wang & Hobbs (2016)
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@constraint(model, dwflexiramp[gn,t] <=
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RD * is_on[gn,t+1]
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+ SD * (is_on[gn,t]-is_on[gn,t+1])
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+ maxp[t] * (1-is_on[gn,t])
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) # second inequality of Eq. (27) in Wang & Hobbs (2016)
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@constraint(model, -maxp[t] * is_on[gn,t]
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+minp[t] * is_on[gn,t+1]
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<= upflexiramp[gn,t]
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) # first inequality of Eq. (28) in Wang & Hobbs (2016)
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@constraint(model, upflexiramp[gn,t] <=
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maxp[t] * is_on[gn,t+1]
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) # second inequality of Eq. (28) in Wang & Hobbs (2016)
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@constraint(model, -maxp[t] * is_on[gn,t+1]
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<= dwflexiramp[gn,t]
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) # first inequality of Eq. (29) in Wang & Hobbs (2016)
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@constraint(model, dwflexiramp[gn,t] <=
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(maxp[t] * is_on[gn,t])
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-(minp[t] * is_on[gn,t+1])
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) # second inequality of Eq. (29) in Wang & Hobbs (2016)
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@constraint(
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model,
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mfg[gn, t] <=
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(SD * (is_on[gn, t] - is_on[gn, t+1])) +
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(maxp[t] * is_on[gn, t+1])
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) # Eq. (24) in Wang & Hobbs (2016)
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@constraint(
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model,
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-RD * is_on[gn, t+1] - SD * (is_on[gn, t] - is_on[gn, t+1]) -
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maxp[t] * (1 - is_on[gn, t]) <= upflexiramp[gn, t]
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) # first inequality of Eq. (26) in Wang & Hobbs (2016)
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@constraint(
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model,
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upflexiramp[gn, t] <=
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RU * is_on[gn, t] +
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SU * (is_on[gn, t+1] - is_on[gn, t]) +
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maxp[t] * (1 - is_on[gn, t+1])
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) # second inequality of Eq. (26) in Wang & Hobbs (2016)
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@constraint(
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model,
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-RU * is_on[gn, t] - SU * (is_on[gn, t+1] - is_on[gn, t]) -
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maxp[t] * (1 - is_on[gn, t+1]) <= dwflexiramp[gn, t]
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) # first inequality of Eq. (27) in Wang & Hobbs (2016)
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@constraint(
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model,
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dwflexiramp[gn, t] <=
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RD * is_on[gn, t+1] +
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SD * (is_on[gn, t] - is_on[gn, t+1]) +
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maxp[t] * (1 - is_on[gn, t])
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) # second inequality of Eq. (27) in Wang & Hobbs (2016)
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@constraint(
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model,
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-maxp[t] * is_on[gn, t] + minp[t] * is_on[gn, t+1] <=
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upflexiramp[gn, t]
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) # first inequality of Eq. (28) in Wang & Hobbs (2016)
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@constraint(model, upflexiramp[gn, t] <= maxp[t] * is_on[gn, t+1]) # second inequality of Eq. (28) in Wang & Hobbs (2016)
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@constraint(model, -maxp[t] * is_on[gn, t+1] <= dwflexiramp[gn, t]) # first inequality of Eq. (29) in Wang & Hobbs (2016)
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@constraint(
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model,
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dwflexiramp[gn, t] <=
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(maxp[t] * is_on[gn, t]) - (minp[t] * is_on[gn, t+1])
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) # second inequality of Eq. (29) in Wang & Hobbs (2016)
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else
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@constraint(model, mfg[gn,t]<=prod_above[gn,t-1] + (is_on[gn,t-1]*minp[t])
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+ (RU * is_on[gn,t-1])
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+ (SU*(is_on[gn,t] - is_on[gn,t-1]))
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+ maxp[t] * (1-is_on[gn,t])
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) # Eq. (23) in Wang & Hobbs (2016) for the last time period
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@constraint(model, (prod_above[gn,t-1] + (is_on[gn,t-1]*minp[t]))
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- (prod_above[gn,t] + (is_on[gn,t]*minp[t]))
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<= RD * is_on[gn,t]
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+ SD * (is_on[gn,t-1] - is_on[gn,t])
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+ maxp[t] * (1-is_on[gn,t-1])
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) # Eq. (25) in Wang & Hobbs (2016) for the last time period
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@constraint(
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model,
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mfg[gn, t] <=
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prod_above[gn, t-1] +
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(is_on[gn, t-1] * minp[t]) +
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(RU * is_on[gn, t-1]) +
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(SU * (is_on[gn, t] - is_on[gn, t-1])) +
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maxp[t] * (1 - is_on[gn, t])
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) # Eq. (23) in Wang & Hobbs (2016) for the last time period
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@constraint(
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model,
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(prod_above[gn, t-1] + (is_on[gn, t-1] * minp[t])) -
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(prod_above[gn, t] + (is_on[gn, t] * minp[t])) <=
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RD * is_on[gn, t] +
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SD * (is_on[gn, t-1] - is_on[gn, t]) +
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maxp[t] * (1 - is_on[gn, t-1])
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) # Eq. (25) in Wang & Hobbs (2016) for the last time period
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end
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end
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end
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end
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