def test_lopf(solver="cbc"):
logging.info("Initialize the energy system")
# create time index for 192 hours in May.
date_time_index = pd.date_range("5/5/2012", periods=1, freq="H")
es = solph.EnergySystem(timeindex=date_time_index)
##########################################################################
# Create oemof.solph objects
##########################################################################
logging.info("Create oemof.solph objects")
b_el0 = custom.ElectricalBus(label="b_0", v_min=-1, v_max=1)
b_el1 = custom.ElectricalBus(label="b_1", v_min=-1, v_max=1)
b_el2 = custom.ElectricalBus(label="b_2", v_min=-1, v_max=1)
es.add(b_el0, b_el1, b_el2)
es.add(
custom.ElectricalLine(
input=b_el0,
output=b_el1,
reactance=0.0001,
investment=solph.Investment(ep_costs=10),
min=-1,
max=1,
))
es.add(
custom.ElectricalLine(
input=b_el1,
output=b_el2,
reactance=0.0001,
nominal_value=60,
min=-1,
max=1,
))
es.add(
custom.ElectricalLine(
input=b_el2,
output=b_el0,
reactance=0.0001,
nominal_value=60,
min=-1,
max=1,
))
es.add(
solph.Source(
label="gen_0",
outputs={b_el0: solph.Flow(nominal_value=100, variable_costs=50)},
))
es.add(
solph.Source(
label="gen_1",
outputs={b_el1: solph.Flow(nominal_value=100, variable_costs=25)},
))
es.add(
solph.Sink(
label="load",
inputs={
b_el2: solph.Flow(nominal_value=100,
actual_value=1,
fixed=True)
},
))
##########################################################################
# Optimise the energy system and plot the results
##########################################################################
logging.info("Creating optimisation model")
om = solph.Model(es)
logging.info("Running lopf on 3-Node exmaple system")
om.solve(solver=solver)
results = outputlib.processing.results(om)
generators = outputlib.views.node_output_by_type(results, solph.Source)
generators_test_results = {
(es.groups["gen_0"], es.groups["b_0"], "flow"): 20,
(es.groups["gen_1"], es.groups["b_1"], "flow"): 80,
}
for key in generators_test_results.keys():
logging.debug("Test genertor production of {0}".format(key))
eq_(
int(round(generators[key])),
int(round(generators_test_results[key])),
)
eq_(
results[es.groups["b_2"], es.groups["b_0"]]["sequences"]["flow"][0],
-40,
)
eq_(results[es.groups["b_1"], es.groups["b_2"]]["sequences"]["flow"][0],
60)
eq_(
results[es.groups["b_0"], es.groups["b_1"]]["sequences"]["flow"][0],
-20,
)
# objective function
eq_(round(outputlib.processing.meta_results(om)["objective"]), 3200)
es = EnergySystem(timeindex=datetimeindex)
b_el0 = custom.ElectricalBus(label="b_0", v_min=-1, v_max=1)
b_el1 = custom.ElectricalBus(label="b_1", v_min=-1, v_max=1)
b_el2 = custom.ElectricalBus(label="b_2", v_min=-1, v_max=1)
es.add(b_el0, b_el1, b_el2)
es.add(
custom.ElectricalLine(
input=b_el0,
output=b_el1,
reactance=0.0001,
investment=Investment(ep_costs=10),
min=-1,
max=1,
)
)
es.add(
custom.ElectricalLine(
input=b_el1,
output=b_el2,
reactance=0.0001,
nominal_value=60,
min=-1,
max=1,
)
)
datetimeindex = pd.date_range('1/1/2017', periods=2, freq='H')
es = EnergySystem(timeindex=datetimeindex)
b_el0 = custom.ElectricalBus(label="b_0", v_min=-1, v_max=1)
b_el1 = custom.ElectricalBus(label="b_1", v_min=-1, v_max=1)
b_el2 = custom.ElectricalBus(label="b_2", v_min=-1, v_max=1)
es.add(b_el0, b_el1, b_el2)
es.add(
custom.ElectricalLine(
label="line0",
inputs={b_el0: Flow()},
outputs={b_el1: Flow(investment=Investment(), min=-1, max=1)},
reactance=0.0001))
es.add(
custom.ElectricalLine(
label="line1",
inputs={b_el1: Flow()},
outputs={b_el2: Flow(nominal_value=60, min=-1, max=1)},
reactance=0.0001))
es.add(
custom.ElectricalLine(
label="line2",
inputs={b_el2: Flow()},
outputs={b_el0: Flow(nominal_value=60, min=-1, max=1)},
