def plot_nodes(self, filename, **kwargs):
"""
Plot a graph plot of the energy system and store it into a `.graphml`
file. The kwargs are passed to the oemof.network function
`create_nx_graph()
<https://github.com/oemof/oemof.network/blob/dev/src/oemof/network/graph.py#L15>`_.
Parameters
----------
filename
kwargs
Returns
-------
"""
g = graph.create_nx_graph(self.es, filename=filename, **kwargs)
return g
def save_network_graph(energysystem, case_name):
logging.debug("Generate networkx diagram")
energysystem_graph = graph.create_nx_graph(energysystem)
graph_file_name = case_name + SUFFIX_GRAPH
graph_path = "./simulation_results/" + graph_file_name
nx.readwrite.write_gpickle(G=energysystem_graph, path=graph_path)
energysystem_graph = nx.readwrite.read_gpickle(graph_path)
matplotlib.rcParams["figure.figsize"] = [20.0, 15.0]
draw_graph(
energysystem_graph,
case_name,
node_size=5500,
node_color={
"coal": "#0f2e2e",
"gas": "#c76c56",
"oil": "#494a19",
"lignite": "#56201d",
"bel": "#9a9da1",
"bth": "#cd3333",
"wind": "#4ca7c3",
"pv": "#ffde32",
"demand_el": "#9a9da1",
"excess_el": "#9a9da1",
"demand_th": "#cd3333",
"pp_coal": "#0f2e2e",
"pp_lig": "#56201d",
"pp_gas": "#c76c56",
"pp_oil": "#494a19",
"pp_chp": "#eeac7e",
"b_heat_source": "#cd3333",
"heat_source": "#cd3333",
"heat_pump": "#42c77a",
},
edge_color="#eeac7e",
)
outputs={b_el1: Flow(nominal_value=100, variable_costs=25)},
)
)
es.add(Sink(label="load", inputs={b_el2: Flow(nominal_value=100, fix=[1, 1])}))
m = Model(energysystem=es)
# m.write('lopf.lp', io_options={'symbolic_solver_labels': True})
m.solve(solver="cbc", solve_kwargs={"tee": True, "keepfiles": False})
m.results()
graph = create_nx_graph(es)
draw_graph(
graph,
plot=True,
layout="neato",
node_size=3000,
node_color={"b_0": "#cd3333", "b_1": "#7EC0EE", "b_2": "#eeac7e"},
)
results = processing.results(m)
print(views.node(results, "gen_0"))
print(views.node(results, "gen_1"))
print(views.node(results, "line_1"))