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# UnitCommitment.jl: Optimization Package for Security-Constrained Unit Commitment
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# Copyright (C) 2020, UChicago Argonne, LLC. All rights reserved.
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# Released under the modified BSD license. See COPYING.md for more details.
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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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formulation::_MorLatRam13,
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)::Nothing
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# TODO: Move upper case constants to model[:instance]
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RESERVES_WHEN_START_UP = true
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RESERVES_WHEN_RAMP_UP = true
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RESERVES_WHEN_RAMP_DOWN = true
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RESERVES_WHEN_SHUT_DOWN = true
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is_initially_on = (g.initial_status > 0)
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SU = g.startup_limit
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SD = g.shutdown_limit
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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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eq_ramp_down = _init(model, :eq_ramp_down)
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eq_ramp_up = _init(model, :eq_str_ramp_up)
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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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switch_off = model[:switch_off]
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switch_on = model[:switch_on]
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for t in 1:model[:instance].time
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time_invariant =
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(t > 1) ? (abs(g.min_power[t] - g.min_power[t-1]) < 1e-7) : true
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# Ramp up limit
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if t == 1
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if is_initially_on
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eq_ramp_up[gn, t] = @constraint(
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model,
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g.min_power[t] +
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prod_above[gn, t] +
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(RESERVES_WHEN_RAMP_UP ? reserve[gn, t] : 0.0) <=
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g.initial_power + RU
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)
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end
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else
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# amk: without accounting for time-varying min power terms,
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# we might get an infeasible schedule, e.g. if min_power[t-1] = 0, min_power[t] = 10
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# and ramp_up_limit = 5, the constraint (p'(t) + r(t) <= p'(t-1) + RU)
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# would be satisfied with p'(t) = r(t) = p'(t-1) = 0
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# Note that if switch_on[t] = 1, then eqns (20) or (21) go into effect
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if !time_invariant
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# Use equation (24) instead
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SU = g.startup_limit
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max_prod_this_period =
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g.min_power[t] * is_on[gn, t] +
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prod_above[gn, t] +
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(
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RESERVES_WHEN_START_UP || RESERVES_WHEN_RAMP_UP ?
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reserve[gn, t] : 0.0
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)
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min_prod_last_period =
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g.min_power[t-1] * is_on[gn, t-1] + prod_above[gn, t-1]
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eq_ramp_up[gn, t] = @constraint(
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model,
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max_prod_this_period - min_prod_last_period <=
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RU * is_on[gn, t-1] + SU * switch_on[gn, t]
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)
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else
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# Equation (26) in Kneuven et al. (2020)
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# TODO: what if RU < SU? places too stringent upper bound
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# prod_above[gn, t] when starting up, and creates diff with (24).
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eq_ramp_up[gn, t] = @constraint(
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model,
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prod_above[gn, t] +
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(RESERVES_WHEN_RAMP_UP ? reserve[gn, t] : 0.0) -
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prod_above[gn, t-1] <= RU
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)
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end
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end
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# Ramp down limit
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if t == 1
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if is_initially_on
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# TODO If RD < SD, or more specifically if
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# min_power + RD < initial_power < SD
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# then the generator should be able to shut down at time t = 1,
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# but the constraint below will force the unit to produce power
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eq_ramp_down[gn, t] = @constraint(
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model,
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g.initial_power - (g.min_power[t] + prod_above[gn, t]) <= RD
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)
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end
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else
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# amk: similar to ramp_up, need to account for time-dependent min_power
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if !time_invariant
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# Revert to (25)
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SD = g.shutdown_limit
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max_prod_last_period =
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g.min_power[t-1] * is_on[gn, t-1] +
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prod_above[gn, t-1] +
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(
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RESERVES_WHEN_SHUT_DOWN || RESERVES_WHEN_RAMP_DOWN ?
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reserve[gn, t-1] : 0.0
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)
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min_prod_this_period =
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g.min_power[t] * is_on[gn, t] + prod_above[gn, t]
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eq_ramp_down[gn, t] = @constraint(
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model,
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max_prod_last_period - min_prod_this_period <=
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RD * is_on[gn, t] + SD * switch_off[gn, t]
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)
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else
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# Equation (27) in Kneuven et al. (2020)
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# TODO: Similar to above, what to do if shutting down in time t
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# and RD < SD? There is a difference with (25).
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eq_ramp_down[gn, t] = @constraint(
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model,
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prod_above[gn, t-1] +
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(RESERVES_WHEN_RAMP_DOWN ? reserve[gn, t-1] : 0.0) -
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prod_above[gn, t] <= RD
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)
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end
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end
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end
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end
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@ -0,0 +1,12 @@
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# UnitCommitment.jl: Optimization Package for Security-Constrained Unit Commitment
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# Copyright (C) 2020, UChicago Argonne, LLC. All rights reserved.
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# Released under the modified BSD license. See COPYING.md for more details.
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"""
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Formulation described in:
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Morales-España, G., Latorre, J. M., & Ramos, A. (2013). Tight and compact
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MILP formulation for the thermal unit commitment problem. IEEE Transactions
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on Power Systems, 28(4), 4897-4908.
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"""
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mutable struct _MorLatRam13 <: _RampingFormulation end
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Reference in new issue