ANL-CEEESA/UnitCommitment.jl
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This commit is contained in:
oyurdakul
2022-04-01 15:22:42 +02:00
parent febb4f1aad
commit b4bc50c865
41 changed files with 487 additions and 256 deletions
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5
src/solution/methods/XavQiuWanThi2019/enforce.jl
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@@ -2,7 +2,10 @@
# Copyright (C) 2020, UChicago Argonne, LLC. All rights reserved.
# Released under the modified BSD license. See COPYING.md for more details.
function _enforce_transmission(model::JuMP.Model, violations::Vector{_Violation})::Nothing
function _enforce_transmission(
model::JuMP.Model,
violations::Vector{_Violation},
)::Nothing
for v in violations
_enforce_transmission(
model = model,

6
src/solution/methods/XavQiuWanThi2019/filter.jl
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@@ -4,9 +4,11 @@
function _offer(filter::_ViolationFilter, v::_Violation)::Nothing
if v.monitored_line.offset ∉ keys(filter.queues)
filter.queues[v.monitored_line.offset] = PriorityQueue{_Violation,Float64}()
filter.queues[v.monitored_line.offset] =
PriorityQueue{_Violation,Float64}()
end
q::PriorityQueue{_Violation,Float64} = filter.queues[v.monitored_line.offset]
q::PriorityQueue{_Violation,Float64} =
filter.queues[v.monitored_line.offset]
if length(q) < filter.max_per_line
enqueue!(q, v => v.amount)
else

55
src/solution/methods/XavQiuWanThi2019/find.jl
View File

@@ -4,7 +4,11 @@
import Base.Threads: @threads
function _find_violations(model::JuMP.Model; max_per_line::Int, max_per_period::Int)
function _find_violations(
model::JuMP.Model;
max_per_line::Int,
max_per_period::Int,
)
instance = model[:instance]
net_injection = model[:net_injection]
overflow = model[:overflow]
@@ -14,10 +18,13 @@ function _find_violations(model::JuMP.Model; max_per_line::Int, max_per_period::
time_screening = @elapsed begin
non_slack_buses = [b for b in instance.buses if b.offset > 0]
net_injection_values = [
value(net_injection[b.name, t]) for b in non_slack_buses, t = 1:instance.time
value(net_injection[b.name, t]) for b in non_slack_buses,
t in 1:instance.time
]
overflow_values = [
value(overflow[lm.name, t]) for lm in instance.lines,
t in 1:instance.time
]
overflow_values =
[value(overflow[lm.name, t]) for lm in instance.lines, t = 1:instance.time]
violations = UnitCommitment._find_violations(
instance = instance,
net_injections = net_injection_values,
@@ -28,7 +35,10 @@ function _find_violations(model::JuMP.Model; max_per_line::Int, max_per_period::
max_per_period = max_per_period,
)
end
@info @sprintf("Verified transmission limits in %.2f seconds", time_screening)
@info @sprintf(
"Verified transmission limits in %.2f seconds",
time_screening
)
return violations
end
@@ -71,8 +81,10 @@ function _find_violations(;
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 = 1:T
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]
@@ -80,30 +92,35 @@ function _find_violations(;
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 instance.lines, t = 1:T]
normal_limits::Array{Float64,2} = [
l.normal_flow_limit[t] + overflow[l.offset, t] for
l in instance.lines, t in 1:T
]
emergency_limits::Array{Float64,2} =
[l.emergency_flow_limit[t] + overflow[l.offset, t] for l in instance.lines, t = 1:T]
emergency_limits::Array{Float64,2} = [
l.emergency_flow_limit[t] + overflow[l.offset, t] for
l in instance.lines, t in 1:T
]
is_vulnerable::Array{Bool} = zeros(Bool, L)
for c in instance.contingencies
is_vulnerable[c.lines[1].offset] = true
end
@threads for t = 1:T
@threads for t in 1:T
k = threadid()
# Pre-contingency flows
pre_flow[:, k] = isf * net_injections[:, t]
# Post-contingency flows
for lc = 1:L, lm = 1:L
post_flow[lm, lc, k] = pre_flow[lm, k] + pre_flow[lc, k] * lodf[lm, lc]
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 = 1:L
for lm in 1:L
pre_v[lm, k] = max(
0.0,
pre_flow[lm, k] - normal_limits[lm, t],
@@ -112,7 +129,7 @@ function _find_violations(;
end
# Post-contingency violations
for lc = 1:L, lm = 1:L
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],
@@ -121,7 +138,7 @@ function _find_violations(;
end
# Offer pre-contingency violations
for lm = 1:L
for lm in 1:L
if pre_v[lm, k] > 1e-5
_offer(
filters[t],
@@ -136,7 +153,7 @@ function _find_violations(;
end
# Offer post-contingency violations
for lm = 1:L, lc = 1:L
for lm in 1:L, lc in 1:L
if post_v[lm, lc, k] > 1e-5 && is_vulnerable[lc]
_offer(
filters[t],
@@ -152,7 +169,7 @@ function _find_violations(;
end
violations = _Violation[]
for t = 1:instance.time
for t in 1:instance.time
append!(violations, _query(filters[t]))
end

5
src/solution/methods/XavQiuWanThi2019/optimize.jl
View File

@@ -27,7 +27,10 @@ function optimize!(model::JuMP.Model, method::XavQiuWanThi2019.Method)::Nothing
@info "Time limit exceeded"
break
end
@info @sprintf("Setting MILP time limit to %.2f seconds", time_remaining)
@info @sprintf(
"Setting MILP time limit to %.2f seconds",
time_remaining
)
JuMP.set_time_limit_sec(model, time_remaining)
@info "Solving MILP..."
JuMP.optimize!(model)