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unit-commitment.py
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unit-commitment.py
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## 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 http://www.pypsa.org/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.)
nu.add("Generator","gas",bus="bus",
marginal_cost=70,
p_nom=10000)
nu.add("Load","load",bus="bus",p_set=[0.,200.,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