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4
.github/workflows/test.yml
vendored
4
.github/workflows/test.yml
vendored
@@ -9,8 +9,8 @@ jobs:
|
||||
runs-on: ${{ matrix.os }}
|
||||
strategy:
|
||||
matrix:
|
||||
julia-version: ['1.3', '1.4', '1.5', '1.6']
|
||||
julia-arch: [x64, x86]
|
||||
julia-version: ['1.4', '1.5', '1.6']
|
||||
julia-arch: [x64]
|
||||
os: [ubuntu-latest, windows-latest, macOS-latest]
|
||||
exclude:
|
||||
- os: macOS-latest
|
||||
|
||||
@@ -28,13 +28,14 @@ Each section is described in detail below. For a complete example, see [case14](
|
||||
|
||||
### Parameters
|
||||
|
||||
This section describes system-wide parameters, such as power balance penalties, optimization parameters, such as the length of the planning horizon and the time.
|
||||
This section describes system-wide parameters, such as power balance and reserve shortfall penalties, and optimization parameters, such as the length of the planning horizon and the time.
|
||||
|
||||
| Key | Description | Default | Time series?
|
||||
| :----------------------------- | :------------------------------------------------ | :------: | :------------:
|
||||
| `Time horizon (h)` | Length of the planning horizon (in hours). | Required | N
|
||||
| `Time step (min)` | Length of each time step (in minutes). Must be a divisor of 60 (e.g. 60, 30, 20, 15, etc). | `60` | N
|
||||
| `Power balance penalty ($/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.
@@ -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,
|
||||
|
||||
@@ -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}
|
||||
|
||||
96
src/model/formulations/GenMorRam2017/startstop.jl
Normal file
96
src/model/formulations/GenMorRam2017/startstop.jl
Normal file
@@ -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
|
||||
89
src/model/formulations/MorLatRam2013/startstop.jl
Normal file
89
src/model/formulations/MorLatRam2013/startstop.jl
Normal file
@@ -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
|
||||
@@ -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])
|
||||
|
||||
@@ -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
|
||||
|
||||
@@ -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
|
||||
|
||||
@@ -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)
|
||||
|
||||
@@ -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
|
||||
|
||||
@@ -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
|
||||
|
||||
|
||||
Reference in New Issue
Block a user