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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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 | # 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.
import Base.Threads: @threads
function _find_violations(
model::JuMP.Model,
sc::UnitCommitmentScenario;
max_per_line::Int,
max_per_period::Int,
)
instance = model[:instance]
net_injection = model[:net_injection]
overflow = model[:overflow]
length(sc.buses) > 1 || return []
violations = []
non_slack_buses = [b for b in sc.buses if b.offset > 0]
net_injection_values = [
value(net_injection[sc.name, b.name, t]) for b in non_slack_buses,
t in 1:instance.time
]
overflow_values = [
value(overflow[sc.name, lm.name, t]) for lm in sc.lines,
t in 1:instance.time
]
violations = UnitCommitment._find_violations(
instance = instance,
sc = sc,
net_injections = net_injection_values,
overflow = overflow_values,
isf = sc.isf,
lodf = sc.lodf,
max_per_line = max_per_line,
max_per_period = max_per_period,
)
return violations
end
"""
function _find_violations(
instance::UnitCommitmentInstance,
net_injections::Array{Float64, 2};
isf::Array{Float64,2},
lodf::Array{Float64,2},
max_per_line::Int,
max_per_period::Int,
)::Array{_Violation, 1}
Find transmission constraint violations (both pre-contingency, as well as
post-contingency).
The argument `net_injection` should be a (B-1) x T matrix, where B is the
number of buses and T is the number of time periods. The arguments `isf` and
`lodf` can be computed using UnitCommitment.injection_shift_factors and
UnitCommitment.line_outage_factors. The argument `overflow` specifies how much
flow above the transmission limits (in MW) is allowed. It should be an L x T
matrix, where L is the number of transmission lines.
"""
function _find_violations(;
instance::UnitCommitmentInstance,
sc::UnitCommitmentScenario,
net_injections::Array{Float64,2},
overflow::Array{Float64,2},
isf::Array{Float64,2},
lodf::Array{Float64,2},
max_per_line::Int,
max_per_period::Int,
)::Array{_Violation,1}
B = length(sc.buses) - 1
L = length(sc.lines)
T = instance.time
# K = nthreads()
K = Threads.maxthreadid()
size(net_injections) == (B, T) || error("net_injections has incorrect size")
size(isf) == (L, B) || error("isf has incorrect size")
size(lodf) == (L, L) || error("lodf has incorrect size")
filters = Dict(
t => _ViolationFilter(
max_total = max_per_period,
max_per_line = max_per_line,
) for t in 1:T
)
pre_flow::Array{Float64} = zeros(L, K) # pre_flow[lm, thread]
post_flow::Array{Float64} = zeros(L, L, K) # post_flow[lm, lc, thread]
pre_v::Array{Float64} = zeros(L, K) # pre_v[lm, thread]
post_v::Array{Float64} = zeros(L, L, K) # post_v[lm, lc, thread]
normal_limits::Array{Float64,2} = [
l.normal_flow_limit[t] + overflow[l.offset, t] for l in sc.lines,
t in 1:T
]
emergency_limits::Array{Float64,2} = [
l.emergency_flow_limit[t] + overflow[l.offset, t] for l in sc.lines,
t in 1:T
]
is_vulnerable::Array{Bool} = zeros(Bool, L)
for c in sc.contingencies
is_vulnerable[c.lines[1].offset] = true
end
@threads for t in 1:T
k = threadid()
# Pre-contingency flows
pre_flow[:, k] = isf * net_injections[:, t]
# Post-contingency flows
for lc in 1:L, lm in 1:L
post_flow[lm, lc, k] =
pre_flow[lm, k] + pre_flow[lc, k] * lodf[lm, lc]
end
# Pre-contingency violations
for lm in 1:L
pre_v[lm, k] = max(
0.0,
pre_flow[lm, k] - normal_limits[lm, t],
-pre_flow[lm, k] - normal_limits[lm, t],
)
end
# Post-contingency violations
for lc in 1:L, lm in 1:L
post_v[lm, lc, k] = max(
0.0,
post_flow[lm, lc, k] - emergency_limits[lm, t],
-post_flow[lm, lc, k] - emergency_limits[lm, t],
)
end
# Offer pre-contingency violations
for lm in 1:L
if pre_v[lm, k] > 1e-5
_offer(
filters[t],
_Violation(
time = t,
monitored_line = sc.lines[lm],
outage_line = nothing,
amount = pre_v[lm, k],
),
)
end
end
# Offer post-contingency violations
for lm in 1:L, lc in 1:L
if post_v[lm, lc, k] > 1e-5 && is_vulnerable[lc]
_offer(
filters[t],
_Violation(
time = t,
monitored_line = sc.lines[lm],
outage_line = sc.lines[lc],
amount = post_v[lm, lc, k],
),
)
end
end
end
violations = _Violation[]
for t in 1:instance.time
append!(violations, _query(filters[t]))
end
return violations
end
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