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unit-commitment.py
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unit-commitment.py
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# -*- coding: utf-8 -*-
## Demonstrate PyPSA unit commitment with a one-bus two-generator example
#
#
# This tutorial runs through examples of unit commitment for generators at a single bus. Examples of minimum part-load, minimum up time, minimum down time, start up costs, shut down costs and ramp rate restrictions are shown.
#
# To enable unit commitment on a generator, set its attribute committable = True.
#
#
# Available as a Jupyter notebook at https://pypsa.readthedocs.io/en/latest/examples/unit-commitment.ipynb.
import pypsa
### Minimum part load demonstration
#
# In final hour load goes below part-load limit of coal gen (30%), forcing gas to commit.
nu = pypsa.Network()
nu.set_snapshots(range(4))
nu.add("Bus", "bus")
nu.add(
"Generator",
"coal",
bus="bus",
committable=True,
p_min_pu=0.3,
marginal_cost=20,
p_nom=10000,
)
nu.add(
"Generator",
"gas",
bus="bus",
committable=True,
marginal_cost=70,
p_min_pu=0.1,
p_nom=1000,
)
nu.add("Load", "load", bus="bus", p_set=[4000, 6000, 5000, 800])
nu.lopf(nu.snapshots)
nu.generators_t.status
nu.generators_t.p
### Minimum up time demonstration
#
# Gas has minimum up time, forcing it to be online longer
nu = pypsa.Network()
nu.set_snapshots(range(4))
nu.add("Bus", "bus")
nu.add(
"Generator",
"coal",
bus="bus",
committable=True,
p_min_pu=0.3,
marginal_cost=20,
p_nom=10000,
)
nu.add(
"Generator",
"gas",
bus="bus",
committable=True,
marginal_cost=70,
p_min_pu=0.1,
up_time_before=0,
min_up_time=3,
p_nom=1000,
)
nu.add("Load", "load", bus="bus", p_set=[4000, 800, 5000, 3000])
nu.lopf(nu.snapshots)
nu.generators_t.status
nu.generators_t.p
### Minimum down time demonstration
#
# Coal has a minimum down time, forcing it to go off longer.
nu = pypsa.Network()
nu.set_snapshots(range(4))
nu.add("Bus", "bus")
nu.add(
"Generator",
"coal",
bus="bus",
committable=True,
p_min_pu=0.3,
marginal_cost=20,
min_down_time=2,
down_time_before=1,
p_nom=10000,
)
nu.add(
"Generator",
"gas",
bus="bus",
committable=True,
marginal_cost=70,
p_min_pu=0.1,
p_nom=4000,
)
nu.add("Load", "load", bus="bus", p_set=[3000, 800, 3000, 8000])
nu.lopf(nu.snapshots)
nu.objective
nu.generators_t.status
nu.generators_t.p
### Start up and shut down costs
#
# Now there are associated costs for shutting down, etc
nu = pypsa.Network()
nu.set_snapshots(range(4))
nu.add("Bus", "bus")
nu.add(
"Generator",
"coal",
bus="bus",
committable=True,
p_min_pu=0.3,
marginal_cost=20,
min_down_time=2,
start_up_cost=5000,
p_nom=10000,
)
nu.add(
"Generator",
"gas",
bus="bus",
committable=True,
marginal_cost=70,
p_min_pu=0.1,
shut_down_cost=25,
p_nom=4000,
)
nu.add("Load", "load", bus="bus", p_set=[3000, 800, 3000, 8000])
nu.lopf(nu.snapshots)
nu.objective
nu.generators_t.status
nu.generators_t.p
## Ramp rate limits
nu = pypsa.Network()
nu.set_snapshots(range(6))
nu.add("Bus", "bus")
nu.add(
"Generator",
"coal",
bus="bus",
marginal_cost=20,
ramp_limit_up=0.1,
ramp_limit_down=0.2,
p_nom=10000,
)
nu.add("Generator", "gas", bus="bus", marginal_cost=70, p_nom=4000)
nu.add("Load", "load", bus="bus", p_set=[4000, 7000, 7000, 7000, 7000, 3000])
nu.lopf(nu.snapshots)
nu.generators_t.p
nu = pypsa.Network()
nu.set_snapshots(range(6))
nu.add("Bus", "bus")
nu.add(
"Generator",
"coal",
bus="bus",
marginal_cost=20,
ramp_limit_up=0.1,
ramp_limit_down=0.2,
p_nom_extendable=True,
capital_cost=1e2,
)
nu.add("Generator", "gas", bus="bus", marginal_cost=70, p_nom=4000)
nu.add("Load", "load", bus="bus", p_set=[4000, 7000, 7000, 7000, 7000, 3000])
nu.lopf(nu.snapshots)
nu.generators.p_nom_opt
nu.generators_t.p
nu = pypsa.Network()
nu.set_snapshots(range(7))
nu.add("Bus", "bus")
# Can get bad interactions if SU > RU and p_min_pu; similarly if SD > RD
nu.add(
"Generator",
"coal",
bus="bus",
marginal_cost=20,
committable=True,
p_min_pu=0.05,
initial_status=0,
ramp_limit_start_up=0.1,
ramp_limit_up=0.2,
ramp_limit_down=0.25,
ramp_limit_shut_down=0.15,
p_nom=10000.0,
)
nu.add("Generator", "gas", bus="bus", marginal_cost=70, p_nom=10000)
nu.add("Load", "load", bus="bus", p_set=[0.0, 200.0, 7000, 7000, 7000, 2000, 0])
nu.lopf(nu.snapshots)
nu.generators_t.p
nu.generators_t.status
nu.generators.loc["coal"]
## Rolling horizon example
#
# This example solves sequentially in batches
sets_of_snapshots = 6
p_set = [4000, 5000, 700, 800, 4000]
nu = pypsa.Network()
nu.set_snapshots(range(len(p_set) * sets_of_snapshots))
nu.add("Bus", "bus")
nu.add(
"Generator",
"coal",
bus="bus",
committable=True,
p_min_pu=0.3,
marginal_cost=20,
min_down_time=2,
min_up_time=3,
up_time_before=1,
ramp_limit_up=1,
ramp_limit_down=1,
ramp_limit_start_up=1,
ramp_limit_shut_down=1,
shut_down_cost=150,
start_up_cost=200,
p_nom=10000,
)
nu.add(
"Generator",
"gas",
bus="bus",
committable=True,
marginal_cost=70,
p_min_pu=0.1,
up_time_before=2,
min_up_time=3,
shut_down_cost=20,
start_up_cost=50,
p_nom=1000,
)
nu.add("Load", "load", bus="bus", p_set=p_set * sets_of_snapshots)
overlap = 2
for i in range(sets_of_snapshots):
nu.lopf(nu.snapshots[i * len(p_set) : (i + 1) * len(p_set) + overlap])
nu.generators_t.status
nu.generators_t.p