File size: 4,542 Bytes
43c68a3
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
# 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 _add_system_wide_eqs!(
    model::JuMP.Model,
    sc::UnitCommitmentScenario,
)::Nothing
    _add_net_injection_eqs!(model, sc)
    _add_spinning_reserve_eqs!(model, sc)
    _add_flexiramp_reserve_eqs!(model, sc)
    return
end

function _add_net_injection_eqs!(
    model::JuMP.Model,
    sc::UnitCommitmentScenario,
)::Nothing
    T = model[:instance].time
    net_injection = _init(model, :net_injection)
    eq_net_injection = _init(model, :eq_net_injection)
    eq_power_balance = _init(model, :eq_power_balance)
    for t in 1:T, b in sc.buses
        n = net_injection[sc.name, b.name, t] = @variable(model, base_name =  "net_injection_$(sc.name)_$(b.name)_$(t)")
        eq_net_injection[sc.name, b.name, t] = @constraint(
            model,
            -n + model[:expr_net_injection][sc.name, b.name, t] == 0
        )
    end
    for t in 1:T
        eq_power_balance[sc.name, t] = @constraint(
            model,
            sum(net_injection[sc.name, b.name, t] for b in sc.buses) == 0
        )
    end
    return
end

function _add_spinning_reserve_eqs!(
    model::JuMP.Model,
    sc::UnitCommitmentScenario,
)::Nothing
    T = model[:instance].time
    eq_min_spinning_reserve = _init(model, :eq_min_spinning_reserve)
    for r in sc.reserves
        r.type == "spinning" || continue
        for t in 1:T
            # Equation (68) in Kneuven et al. (2020)
            # As in Morales-España et al. (2013a)
            # Akin to the alternative formulation with max_power_avail
            # from Carrión and Arroyo (2006) and Ostrowski et al. (2012)
            eq_min_spinning_reserve[sc.name, r.name, t] = @constraint(
                model,
                sum(
                    model[:reserve][sc.name, r.name, g.name, t] for
                    g in r.thermal_units
                ) + model[:reserve_shortfall][sc.name, r.name, t] >=
                r.amount[t]
            )

            # Account for shortfall contribution to objective
            if r.shortfall_penalty >= 0
                add_to_expression!(
                    model[:obj],
                    r.shortfall_penalty * sc.probability,
                    model[:reserve_shortfall][sc.name, r.name, t],
                )
            end
        end
    end
    return
end

function _add_flexiramp_reserve_eqs!(
    model::JuMP.Model,
    sc::UnitCommitmentScenario,
)::Nothing
    # Note: The flexpramp requirements in Wang & Hobbs (2016) are imposed as hard constraints 
    #       through Eq. (17) and Eq. (18). The constraints eq_min_upflexiramp and eq_min_dwflexiramp 
    #       provided below are modified versions of Eq. (17) and Eq. (18), respectively, in that   
    #       they include slack variables for flexiramp shortfall, which are penalized in the
    #       objective function.
    eq_min_upflexiramp = _init(model, :eq_min_upflexiramp)
    eq_min_dwflexiramp = _init(model, :eq_min_dwflexiramp)
    T = model[:instance].time
    for r in sc.reserves
        r.type == "flexiramp" || continue
        for t in 1:T
            # Eq. (17) in Wang & Hobbs (2016)
            eq_min_upflexiramp[sc.name, r.name, t] = @constraint(
                model,
                sum(
                    model[:upflexiramp][sc.name, r.name, g.name, t] for
                    g in r.thermal_units
                ) + model[:upflexiramp_shortfall][sc.name, r.name, t] >=
                r.amount[t]
            )
            # Eq. (18) in Wang & Hobbs (2016)
            eq_min_dwflexiramp[sc.name, r.name, t] = @constraint(
                model,
                sum(
                    model[:dwflexiramp][sc.name, r.name, g.name, t] for
                    g in r.thermal_units
                ) + model[:dwflexiramp_shortfall][sc.name, r.name, t] >=
                r.amount[t]
            )

            # Account for flexiramp shortfall contribution to objective
            if r.shortfall_penalty >= 0
                add_to_expression!(
                    model[:obj],
                    r.shortfall_penalty * sc.probability,
                    (
                        model[:upflexiramp_shortfall][sc.name, r.name, t] +
                        model[:dwflexiramp_shortfall][sc.name, r.name, t]
                    ),
                )
            end
        end
    end
    return
end