def testSolutionValuesCalledBeforeSolve(self):
lp = LinearProgramContainer(self.dummy_profile)
ng = GridSource(NG, 1e6, 1e6)
lp.add_dispatchable_sources(ng)
with self.assertRaises(RuntimeError):
ng.get_solution_values()
with self.assertRaises(RuntimeError):
ng.get_nameplate_solution_value()
def testDispatchableOnly(self):
"""One Dispatchable Source should fill demand."""
# Test over a few different profiles
offset_sin_wave = np.sin(np.linspace(0, 2 * math.pi, 4)) + 2
profiles = [self.demand_profile,
np.zeros(4),
np.ones(4),
np.arange(4) % 2, # 0,1,0,1
offset_sin_wave]
for profile in profiles:
lp = LinearProgramContainer(pd.DataFrame({DEMAND: profile}))
lp.add_demands(GridDemand(DEMAND))
ng = self.ng
lp.add_dispatchable_sources(ng)
self.assertTrue(lp.solve())
npt.assert_almost_equal(ng.get_solution_values(), profile)
self.assertAlmostEqual(ng.get_nameplate_solution_value(),
max(profile))
def testAddDispatchableSourceWithProfile(self):
"""Ensure Dispatchable Source with profile gets error."""
with self.assertRaises(KeyError):
lp = LinearProgramContainer(pd.DataFrame({NG: np.ones(4)}))
lp.add_dispatchable_sources(GridSource(NG, 1e6, 1e6))