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14 Commits

Author SHA1 Message Date
d751c2af88 Reformat source code 2021-08-03 14:23:47 -05:00
1397ae438e Remove references to formulation_status_vars.always_create_vars 2021-08-03 14:09:58 -05:00
7308ff6477 Revert unrelated changes 2021-08-03 14:08:09 -05:00
Aleksandr Kazachkov
8b6cbe8c1b Change order of variable arguments in startstop eqns to be alphabetical, for consistency. 2021-07-28 15:12:08 -04:00
Aleksandr Kazachkov
c2557a64d1 Added GenMorRam2017 and MorLatRam2013 startstop implementations. 2021-07-28 15:08:16 -04:00
Aleksandr Kazachkov
5afb2363af Missed function definition 2021-07-26 18:40:09 -04:00
Aleksandr Kazachkov
860c47b7e3 Shutdown cost not in this commit 2021-07-26 18:38:38 -04:00
Aleksandr Kazachkov
37b21853be Added mising formulation_status_vars 2021-07-26 18:37:06 -04:00
Aleksandr Kazachkov
c8c7350096 Added fix_vars to src/model/formulations/Gar1962/status.jl 2021-07-26 18:32:09 -04:00
Aleksandr Kazachkov
7302fabe37 Added fix vars to unit.jl 2021-07-26 18:30:24 -04:00
Aleksandr Kazachkov
4ed13d6e95 Added fix_vars_via_constraint option 2021-07-26 18:29:15 -04:00
b1498c50b3 GitHub Actions: Test fewer combinations 2021-07-26 07:57:17 -05:00
Aleksandr Kazachkov
000215e991 Add reserve shortfall penalty 2021-07-26 07:54:45 -05:00
7a1b6f0f55 Update CHANGELOG.md 2021-07-21 11:18:22 -05:00
14 changed files with 267 additions and 26 deletions

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@@ -9,8 +9,8 @@ jobs:
runs-on: ${{ matrix.os }}
strategy:
matrix:
julia-version: ['1.3', '1.4', '1.5', '1.6']
julia-arch: [x64, x86]
julia-version: ['1.4', '1.5', '1.6']
julia-arch: [x64]
os: [ubuntu-latest, windows-latest, macOS-latest]
exclude:
- os: macOS-latest

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@@ -11,9 +11,10 @@ All notable changes to this project will be documented in this file.
[semver]: https://semver.org/spec/v2.0.0.html
[pkjjl]: https://pkgdocs.julialang.org/v1/compatibility/#compat-pre-1.0
## [0.2.2] - Unreleased
## [0.2.2] - 2021-07-21
### Fixed
- Fix small bug in validation scripts related to startup costs
- Fix duplicated startup constraints (@mtanneau, #12)
## [0.2.1] - 2021-06-02
### Added

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@@ -28,13 +28,14 @@ Each section is described in detail below. For a complete example, see [case14](
### Parameters
This section describes system-wide parameters, such as power balance penalties, optimization parameters, such as the length of the planning horizon and the time.
This section describes system-wide parameters, such as power balance and reserve shortfall penalties, and optimization parameters, such as the length of the planning horizon and the time.
| Key | Description | Default | Time series?
| :----------------------------- | :------------------------------------------------ | :------: | :------------:
| `Time horizon (h)` | Length of the planning horizon (in hours). | Required | N
| `Time horizon (h)` | Length of the planning horizon (in hours). | Required | N
| `Time step (min)` | Length of each time step (in minutes). Must be a divisor of 60 (e.g. 60, 30, 20, 15, etc). | `60` | N
| `Power balance penalty ($/MW)` | Penalty for system-wide shortage or surplus in production (in $/MW). This is charged per time step. For example, if there is a shortage of 1 MW for three time steps, three times this amount will be charged. | `1000.0` | Y
| `Reserve shortfall penalty ($/MW)` | Penalty for system-wide shortage in meeting reserve requirements (in $/MW). This is charged per time step. Negative value implies reserve constraints must always be satisfied. | `-1` | Y
#### Example
@@ -42,7 +43,8 @@ This section describes system-wide parameters, such as power balance penalties,
{
"Parameters": {
"Time horizon (h)": 4,
"Power balance penalty ($/MW)": 1000.0
"Power balance penalty ($/MW)": 1000.0,
"Reserve shortfall penalty ($/MW)": -1.0
}
}
```

Binary file not shown.

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@@ -98,6 +98,10 @@ function _from_json(json; repair = true)
json["Parameters"]["Power balance penalty (\$/MW)"],
default = [1000.0 for t in 1:T],
)
shortfall_penalty = timeseries(
json["Parameters"]["Reserve shortfall penalty (\$/MW)"],
default = [-1.0 for t in 1:T],
)
# Read buses
for (bus_name, dict) in json["Buses"]
@@ -264,6 +268,7 @@ function _from_json(json; repair = true)
instance = UnitCommitmentInstance(
T,
power_balance_penalty,
shortfall_penalty,
units,
buses,
lines,

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@@ -72,6 +72,8 @@ end
mutable struct UnitCommitmentInstance
time::Int
power_balance_penalty::Vector{Float64}
"Penalty for failing to meet reserve requirement."
shortfall_penalty::Vector{Float64}
units::Vector{Unit}
buses::Vector{Bus}
lines::Vector{TransmissionLine}

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@@ -0,0 +1,96 @@
# 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.
"""
_add_startup_shutdown_limit_eqs!(model::JuMP.Model, g::Unit)::Nothing
Startup and shutdown limits from Gentile et al. (2017).
Eqns. (20), (23a), and (23b) in Knueven et al. (2020).
Creates constraints `eq_startstop_limit`, `eq_startup_limit`, and `eq_shutdown_limit`
using variables `Gar1962.StatusVars`, `prod_above` from `Gar1962.ProdVars`, and `reserve`.
Constraints
---
* `eq_startstop_limit`
* `eq_startup_limit`
* `eq_shutdown_limit`
"""
function _add_startup_shutdown_limit_eqs!(
model::JuMP.Model,
g::Unit,
formulation_prod_vars::Gar1962.ProdVars,
formulation_status_vars::Gar1962.StatusVars,
)::Nothing
# TODO: Move upper case constants to model[:instance]
RESERVES_WHEN_START_UP = true
RESERVES_WHEN_RAMP_UP = true
RESERVES_WHEN_RAMP_DOWN = true
RESERVES_WHEN_SHUT_DOWN = true
eq_startstop_limit = _init(model, :eq_startstop_limit)
eq_shutdown_limit = _init(model, :eq_shutdown_limit)
eq_startup_limit = _init(model, :eq_startup_limit)
is_on = model[:is_on]
prod_above = model[:prod_above]
reserve = model[:reserve]
switch_off = model[:switch_off]
switch_on = model[:switch_on]
T = model[:instance].time
gi = g.name
if g.initial_power > g.shutdown_limit
eqs.shutdown_limit[gi, 0] =
@constraint(mip, vars.switch_off[gi, 1] <= 0)
end
for t in 1:T
## 2020-10-09 amk: added eqn (20) and check of g.min_uptime
# Not present in (23) in Kneueven et al.
if g.min_uptime > 1
# Equation (20) in Knueven et al. (2020)
eqs.startstop_limit[gi, t] = @constraint(
model,
prod_above[gi, t] + reserve[gi, t] <=
(g.max_power[t] - g.min_power[t]) * is_on[gi, t] -
max(0, g.max_power[t] - g.startup_limit) * switch_on[gi, t] - (
t < T ?
max(0, g.max_power[t] - g.shutdown_limit) *
switch_off[gi, t+1] : 0.0
)
)
else
## Startup limits
# Equation (23a) in Knueven et al. (2020)
eqs.startup_limit[gi, t] = @constraint(
model,
prod_above[gi, t] + reserve[gi, t] <=
(g.max_power[t] - g.min_power[t]) * is_on[gi, t] -
max(0, g.max_power[t] - g.startup_limit) * switch_on[gi, t] - (
t < T ?
max(0, g.startup_limit - g.shutdown_limit) *
switch_off[gi, t+1] : 0.0
)
)
## Shutdown limits
if t < T
# Equation (23b) in Knueven et al. (2020)
eqs.shutdown_limit[gi, t] = @constraint(
model,
prod_above[gi, t] + reserve[gi, t] <=
(g.max_power[t] - g.min_power[t]) * xis_on[gi, t] - (
t < T ?
max(0, g.max_power[t] - g.shutdown_limit) *
switch_off[gi, t+1] : 0.0
) -
max(0, g.shutdown_limit - g.startup_limit) *
switch_on[gi, t]
)
end
end
end
end

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@@ -0,0 +1,89 @@
# 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.
"""
_add_startup_shutdown_limit_eqs!(model::JuMP.Model, g::Unit)::Nothing
Startup and shutdown limits from Morales-España et al. (2013a).
Eqns. (20), (21a), and (21b) in Knueven et al. (2020).
Uses variable `prod_above` from `Gar1962.ProdVars`, the variables in `Gar1962.StatusVars`, and `reserve`
to generate constraints below.
Constraints
---
* :eq_startstop_limit
* :eq_startup_limit
* :eq_shutdown_limit
"""
function _add_startup_shutdown_limit_eqs!(
model::JuMP.Model,
g::Unit,
formulation_prod_vars::Gar1962.ProdVars,
formulation_status_vars::Gar1962.StatusVars,
)::Nothing
# TODO: Move upper case constants to model[:instance]
RESERVES_WHEN_START_UP = true
RESERVES_WHEN_RAMP_UP = true
RESERVES_WHEN_RAMP_DOWN = true
RESERVES_WHEN_SHUT_DOWN = true
eq_startstop_limit = _init(model, :eq_startstop_limit)
eq_shutdown_limit = _init(model, :eq_shutdown_limit)
eq_startup_limit = _init(model, :eq_startup_limit)
is_on = model[:is_on]
prod_above = model[:prod_above]
reserve = model[:reserve]
switch_off = model[:switch_off]
switch_on = model[:switch_on]
T = model[:instance].time
gi = g.name
for t in 1:T
## 2020-10-09 amk: added eqn (20) and check of g.min_uptime
if g.min_uptime > 1 && t < T
# Equation (20) in Knueven et al. (2020)
# UT > 1 required, to guarantee that vars.switch_on[gi, t] and vars.switch_off[gi, t+1] are not both = 1 at the same time
eq_startstop_limit[gi, t] = @constraint(
model,
prod_above[gi, t] + reserve[gi, t] <=
(g.max_power[t] - g.min_power[t]) * is_on[gi, t] -
max(0, g.max_power[t] - g.startup_limit) * switch_on[gi, t] -
max(0, g.max_power[t] - g.shutdown_limit) * switch_off[gi, t+1]
)
else
## Startup limits
# Equation (21a) in Knueven et al. (2020)
# Proposed by Morales-España et al. (2013a)
eqs_startup_limit[gi, t] = @constraint(
model,
prod_above[gi, t] + reserve[gi, t] <=
(g.max_power[t] - g.min_power[t]) * is_on[gi, t] -
max(0, g.max_power[t] - g.startup_limit) * switch_on[gi, t]
)
## Shutdown limits
if t < T
# Equation (21b) in Knueven et al. (2020)
# TODO different from what was in previous model, due to reserve variable
# ax: ideally should have reserve_up and reserve_down variables
# i.e., the generator should be able to increase/decrease production as specified
# (this is a heuristic for a "robust" solution,
# in case there is an outage or a surge, and flow has to be redirected)
# amk: if shutdown_limit is the max prod of generator in time period before shutting down,
# then it makes sense to count reserves, because otherwise, if reserves ≠ 0,
# then the generator will actually produce more than the limit
eqs.shutdown_limit[gi, t] = @constraint(
model,
prod_above[gi, t] +
(RESERVES_WHEN_SHUT_DOWN ? reserve[gi, t] : 0.0) <=
(g.max_power[t] - g.min_power[t]) * is_on[gi, t] -
max(0, g.max_power[t] - g.shutdown_limit) *
switch_off[gi, t+1]
)
end
end
end
end

View File

@@ -4,15 +4,11 @@
function _add_bus!(model::JuMP.Model, b::Bus)::Nothing
net_injection = _init(model, :expr_net_injection)
reserve = _init(model, :expr_reserve)
curtail = _init(model, :curtail)
for t in 1:model[:instance].time
# Fixed load
net_injection[b.name, t] = AffExpr(-b.load[t])
# Reserves
reserve[b.name, t] = AffExpr()
# Load curtailment
curtail[b.name, t] =
@variable(model, lower_bound = 0, upper_bound = b.load[t])

View File

@@ -29,13 +29,28 @@ end
function _add_reserve_eqs!(model::JuMP.Model)::Nothing
eq_min_reserve = _init(model, :eq_min_reserve)
for t in 1:model[:instance].time
instance = model[:instance]
for t in 1:instance.time
# 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)
shortfall_penalty = instance.shortfall_penalty[t]
eq_min_reserve[t] = @constraint(
model,
sum(
model[:expr_reserve][b.name, t] for b in model[:instance].buses
) >= model[:instance].reserves.spinning[t]
sum(model[:reserve][g.name, t] for g in instance.units) +
(shortfall_penalty >= 0 ? model[:reserve_shortfall][t] : 0.0) >=
instance.reserves.spinning[t]
)
# Account for shortfall contribution to objective
if shortfall_penalty >= 0
add_to_expression!(
model[:obj],
shortfall_penalty,
model[:reserve_shortfall][t],
)
end
end
return
end

View File

@@ -35,7 +35,12 @@ function _add_unit!(model::JuMP.Model, g::Unit, formulation::Formulation)
formulation.status_vars,
)
_add_startup_cost_eqs!(model, g, formulation.startup_costs)
_add_startup_shutdown_limit_eqs!(model, g)
_add_startup_shutdown_limit_eqs!(
model,
g,
formulation.prod_vars,
formulation.status_vars,
)
_add_status_eqs!(model, g, formulation.status_vars)
return
end
@@ -44,12 +49,16 @@ _is_initially_on(g::Unit)::Float64 = (g.initial_status > 0 ? 1.0 : 0.0)
function _add_reserve_vars!(model::JuMP.Model, g::Unit)::Nothing
reserve = _init(model, :reserve)
reserve_shortfall = _init(model, :reserve_shortfall)
for t in 1:model[:instance].time
if g.provides_spinning_reserves[t]
reserve[g.name, t] = @variable(model, lower_bound = 0)
else
reserve[g.name, t] = 0.0
end
reserve_shortfall[t] =
(model[:instance].shortfall_penalty[t] >= 0) ?
@variable(model, lower_bound = 0) : 0.0
end
return
end
@@ -72,7 +81,22 @@ function _add_startup_shutdown_vars!(model::JuMP.Model, g::Unit)::Nothing
return
end
function _add_startup_shutdown_limit_eqs!(model::JuMP.Model, g::Unit)::Nothing
"""
_add_startup_shutdown_limit_eqs!(model::JuMP.Model, g::Unit)::Nothing
Creates startup/shutdown limit constraints below based on variables `Gar1962.StatusVars`, `prod_above` from `Gar1962.ProdVars`, and `reserve`.
Constraints
---
* :eq_startup_limit
* :eq_shutdown_limit
"""
function _add_startup_shutdown_limit_eqs!(
model::JuMP.Model,
g::Unit,
formulation_prod_vars::Gar1962.ProdVars,
formulation_status_vars::Gar1962.StatusVars,
)::Nothing
eq_shutdown_limit = _init(model, :eq_shutdown_limit)
eq_startup_limit = _init(model, :eq_startup_limit)
is_on = model[:is_on]
@@ -210,11 +234,5 @@ function _add_net_injection_eqs!(model::JuMP.Model, g::Unit)::Nothing
model[:is_on][g.name, t],
g.min_power[t],
)
# Add to reserves expression
add_to_expression!(
model[:expr_reserve][g.bus.name, t],
model[:reserve][g.name, t],
1.0,
)
end
end

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@@ -51,6 +51,12 @@ function solution(model::JuMP.Model)::OrderedDict
sol["Switch on"] = timeseries(model[:switch_on], instance.units)
sol["Switch off"] = timeseries(model[:switch_off], instance.units)
sol["Reserve (MW)"] = timeseries(model[:reserve], instance.units)
sol["Reserve shortfall (MW)"] = OrderedDict(
t =>
(instance.shortfall_penalty[t] >= 0) ?
round(value(model[:reserve_shortfall][t]), digits = 5) : 0.0 for
t in 1:instance.time
)
sol["Net injection (MW)"] =
timeseries(model[:net_injection], instance.buses)
sol["Load curtail (MW)"] = timeseries(model[:curtail], instance.buses)

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@@ -324,11 +324,16 @@ function _validate_reserve_and_demand(instance, solution, tol = 0.01)
# Verify spinning reserves
reserve =
sum(solution["Reserve (MW)"][g.name][t] for g in instance.units)
if reserve < instance.reserves.spinning[t] - tol
reserve_shortfall =
(instance.shortfall_penalty[t] >= 0) ?
solution["Reserve shortfall (MW)"][t] : 0
if reserve + reserve_shortfall < instance.reserves.spinning[t] - tol
@error @sprintf(
"Insufficient spinning reserves at time %d (%.2f should be %.2f)",
"Insufficient spinning reserves at time %d (%.2f + %.2f should be %.2f)",
t,
reserve,
reserve_shortfall,
instance.reserves.spinning[t],
)
err_count += 1

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@@ -20,8 +20,14 @@ if ENABLE_LARGE_TESTS
end
function _small_test(formulation::Formulation)::Nothing
instance = UnitCommitment.read_benchmark("matpower/case118/2017-02-01")
UnitCommitment.build_model(instance = instance, formulation = formulation) # should not crash
instances = ["matpower/case118/2017-02-01", "test/case14"]
for instance in instances
# Should not crash
UnitCommitment.build_model(
instance = UnitCommitment.read_benchmark(instance),
formulation = formulation,
)
end
return
end