def test_individual_component_stack_graph(self):
"""Tests stack graph generation when breaking out individual components per generation type."""
current_dir = os.path.dirname(os.path.abspath(__file__))
test_cases = [
os.path.join(current_dir, '..', '..', 'models', 'tests',
'uc_test_instances', 'test_case_{}.json'.format(i))
for i in range(1, 2)
]
for test_case in test_cases:
with open(test_case, 'r') as f:
md_dict = json.load(f)
md = ModelData(md_dict)
solved_md = solve_unit_commitment(
md,
'cbc',
mipgap=0.001,
timelimit=None,
solver_tee=True,
symbolic_solver_labels=False,
solver_options=None,
uc_model_generator=create_tight_unit_commitment_model,
relaxed=False,
return_model=False)
fig, ax = generate_stack_graph(
solved_md,
title=repr(test_case),
show_individual_components=True,
plot_individual_generators=False,
)
def test_individual_generator_stack_graph(self):
"""Tests stack graph generation when plotting individual generators."""
current_dir = os.path.dirname(os.path.abspath(__file__))
test_cases = [
os.path.join(current_dir, '..', '..', 'models', 'tests',
'uc_test_instances', 'test_case_{}.json'.format(i))
for i in range(1, 2)
]
for test_case in test_cases:
with open(test_case, 'r') as f:
md_dict = json.load(f)
md = ModelData(md_dict)
solved_md = solve_unit_commitment(
md,
'cbc',
mipgap=0.001,
timelimit=None,
solver_tee=True,
symbolic_solver_labels=False,
solver_options=None,
uc_model_generator=create_tight_unit_commitment_model,
relaxed=False,
return_model=False)
with self.assertRaises(ValueError):
# The number of generators in the test case exceeds the maximum for this feature.
fig, ax = generate_stack_graph(
solved_md,
title=repr(test_case),
show_individual_components=False,
plot_individual_generators=True,
)
def test_individual_generator_stack_graph_exception(self):
"""Tests for stack graph generation to fail when both 'show_individual_components' and 'plot_individual_generators' are simultaneously True."""
current_dir = os.path.dirname(os.path.abspath(__file__))
test_cases = [
os.path.join(current_dir, '..', '..', 'models', 'tests',
'uc_test_instances', 'test_case_{}.json'.format(i))
for i in range(1, 2)
]
for test_case in test_cases:
with open(test_case, 'r') as f:
md_dict = json.load(f)
md = ModelData(md_dict)
solved_md = solve_unit_commitment(
md,
'cbc',
mipgap=0.001,
timelimit=None,
solver_tee=True,
symbolic_solver_labels=False,
solver_options=None,
uc_model_generator=create_tight_unit_commitment_model,
relaxed=False,
return_model=False)
with self.assertRaises(ValueError):
# You cannot set both options to True simultaneously.
fig, ax = generate_stack_graph(
solved_md,
title=repr(test_case),
show_individual_components=True,
plot_individual_generators=True,
)
end_time = "2020-07-06"
md = create_ModelData(
rts_gmlc_dir,
begin_time,
end_time,
simulation="DAY_AHEAD",
t0_state=None,
)
solved_md = solve_unit_commitment(
md,
'gurobi',
mipgap=0.001,
timelimit=None,
solver_tee=True,
symbolic_solver_labels=False,
options=None,
uc_model_generator=create_tight_unit_commitment_model,
relaxed=False,
return_model=False)
fig, ax = generate_stack_graph(
solved_md,
title=begin_time,
show_individual_components=False,
plot_individual_generators=False,
x_tick_frequency=4,
)
plt.show()