def setUp(self):
""" The test runner will execute this method prior to each test.
"""
self.case = Case.load(join(DATA_DIR, self.case_name,
self.case_name + ".pkl"))
self.case.sort_generators() # ext2int
self.opf = OPF(self.case, dc=True)
self.om = self.opf._construct_opf_model(self.case)
self.solver = DCOPFSolver(self.om)
class DCOPFSolverTest(unittest.TestCase):
""" Defines a test case for the DC OPF solver.
"""
def __init__(self, methodName='runTest'):
super(DCOPFSolverTest, self).__init__(methodName)
self.case_name = "case6ww"
self.case = None
self.opf = None
self.om = None
self.solver = None
def setUp(self):
""" The test runner will execute this method prior to each test.
"""
self.case = Case.load(join(DATA_DIR, self.case_name,
self.case_name + ".pkl"))
self.case.sort_generators() # ext2int
self.opf = OPF(self.case, dc=True)
self.om = self.opf._construct_opf_model(self.case)
self.solver = DCOPFSolver(self.om)
def test_constraints(self):
""" Test equality and inequality constraints.
"""
AA, ll, uu = self.solver._linear_constraints(self.om)
mpA = mmread(join(DATA_DIR, self.case_name, "opf", "A_DC.mtx"))
mpl = mmread(join(DATA_DIR, self.case_name, "opf", "l_DC.mtx"))
mpu = mmread(join(DATA_DIR, self.case_name, "opf", "u_DC.mtx"))
self.assertTrue(mfeq2(AA, mpA.tocsr()), self.case_name)
self.assertTrue(mfeq1(ll, mpl.flatten()), self.case_name)
self.assertTrue(mfeq1(uu, mpu.flatten()), self.case_name)
def test_var_bounds(self):
""" Test bounds on optimisation variables.
"""
_, xmin, xmax = self.solver._var_bounds()
# mpx0 = mmread(join(DATA_DIR, self.case_name, "opf", "x0_DC.mtx"))
mpxmin = mmread(join(DATA_DIR, self.case_name, "opf", "xmin_DC.mtx"))
mpxmax = mmread(join(DATA_DIR, self.case_name, "opf", "xmax_DC.mtx"))
# self.assertTrue(alltrue(x0 == mpx0.flatten()), self.case_name)
self.assertTrue(mfeq1(xmin, mpxmin.flatten()), self.case_name)
self.assertTrue(mfeq1(xmax, mpxmax.flatten()), self.case_name)
def test_initial_point(self):
""" Test selection of an initial interior point.
"""
b, l, g, _ = self.solver._unpack_model(self.om)
_, LB, UB = self.solver._var_bounds()
_, _, _, _, _, ny, _ = self.solver._dimension_data(b, l, g)
x0 = self.solver._initial_interior_point(b, g, LB, UB, ny)
mpx0 = mmread(join(DATA_DIR, self.case_name, "opf", "x0_DC.mtx"))
self.assertTrue(mfeq1(x0, mpx0.flatten(), 1e-9), self.case_name)
def test_pwl_costs(self):
""" Test piecewise linear costs.
"""
msg = self.case_name
b, l, g, _ = self.solver._unpack_model(self.om)
_, ipwl, _, _, _, ny, nxyz = self.solver._dimension_data(b, l, g)
Npwl, Hpwl, Cpwl, fparm_pwl, _ = \
self.solver._pwl_costs(ny, nxyz, ipwl)
if Npwl is not None:
mpNpwl = mmread(join(DATA_DIR, self.case_name, "opf", "Npwl.mtx"))
mpHpwl = mmread(join(DATA_DIR, self.case_name, "opf", "Hpwl.mtx"))
mpCpwl = mmread(join(DATA_DIR, self.case_name, "opf", "Cpwl.mtx"))
mpfparm = mmread(join(DATA_DIR, self.case_name, "opf","fparm_pwl.mtx"))
self.assertTrue(mfeq2(Npwl, mpNpwl.tocsr()), msg)
self.assertTrue(mfeq2(Hpwl.todense(), mpHpwl), msg)
self.assertTrue(mfeq1(Cpwl, mpCpwl.flatten()), msg)
self.assertTrue(mfeq1(fparm_pwl.flatten(), mpfparm.flatten()), msg)
def test_poly_costs(self):
""" Test quadratic costs.
"""
msg = self.case_name
base_mva = self.om.case.base_mva
b, l, g, _ = self.solver._unpack_model(self.om)
ipol, _, _, _, _, _, nxyz = self.solver._dimension_data(b, l, g)
Npol, Hpol, Cpol, fparm_pol, _, _ = \
self.solver._quadratic_costs(g, ipol, nxyz, base_mva)
if Npol is not None:
mpNpol = mmread(join(DATA_DIR, self.case_name, "opf", "Npol.mtx"))
mpHpol = mmread(join(DATA_DIR, self.case_name, "opf", "Hpol.mtx"))
mpCpol = mmread(join(DATA_DIR, self.case_name, "opf", "Cpol.mtx"))
mpfparm = mmread(join(DATA_DIR, self.case_name, "opf","fparm_pol.mtx"))
self.assertTrue(mfeq2(Npol, mpNpol.tocsr()), msg)
self.assertTrue(mfeq2(Hpol, mpHpol.tocsr()), msg)
self.assertTrue(mfeq1(Cpol, mpCpol.flatten()), msg)
self.assertTrue(mfeq2(fparm_pol, mpfparm), msg)
def test_combine_costs(self):
""" Test combination of pwl and poly costs.
"""
msg = self.case_name
base_mva = self.om.case.base_mva
b, l, g, _ = self.solver._unpack_model(self.om)
ipol, ipwl, _, _, nw, ny, nxyz = self.solver._dimension_data(b, l, g)
Npwl, Hpwl, Cpwl, fparm_pwl, any_pwl = self.solver._pwl_costs(ny, nxyz,
ipwl)
Npol, Hpol, Cpol, fparm_pol, _, npol = \
self.solver._quadratic_costs(g, ipol, nxyz, base_mva)
NN, HHw, CCw, ffparm = \
self.solver._combine_costs(Npwl, Hpwl, Cpwl, fparm_pwl, any_pwl,
Npol, Hpol, Cpol, fparm_pol, npol, nw)
mpNN = mmread(join(DATA_DIR, self.case_name, "opf", "NN.mtx"))
mpHHw = mmread(join(DATA_DIR, self.case_name, "opf", "HHw.mtx"))
mpCCw = mmread(join(DATA_DIR, self.case_name, "opf", "CCw.mtx"))
mpffparm = mmread(join(DATA_DIR, self.case_name, "opf", "ffparm.mtx"))
self.assertTrue(mfeq2(NN, mpNN.tocsr()), msg)
self.assertTrue(mfeq2(HHw, mpHHw.tocsr()), msg)
self.assertTrue(mfeq1(CCw, mpCCw.flatten()), msg)
self.assertTrue(mfeq2(ffparm, mpffparm), msg)
def test_coefficient_transformation(self):
""" Test transformation of quadratic coefficients for w into
coefficients for X.
"""
msg = self.case_name
base_mva = self.om.case.base_mva
b, l, g, _ = self.solver._unpack_model(self.om)
ipol, ipwl, _, _, nw, ny, nxyz = self.solver._dimension_data(b, l, g)
Npwl, Hpwl, Cpwl, fparm_pwl, any_pwl = \
self.solver._pwl_costs(ny, nxyz, ipwl)
Npol, Hpol, Cpol, fparm_pol, polycf, npol = \
self.solver._quadratic_costs(g, ipol, nxyz, base_mva)
NN, HHw, CCw, ffparm = \
self.solver._combine_costs(Npwl, Hpwl, Cpwl, fparm_pwl, any_pwl,
Npol, Hpol, Cpol, fparm_pol, npol, nw)
HH, CC, _ = \
self.solver._transform_coefficients(NN, HHw, CCw, ffparm, polycf,
any_pwl, npol, nw)
mpHH = mmread(join(DATA_DIR, self.case_name, "opf", "HH.mtx"))
mpCC = mmread(join(DATA_DIR, self.case_name, "opf", "CC.mtx"))
self.assertTrue(mfeq2(HH, mpHH.tocsr()), msg)
self.assertTrue(mfeq1(CC, mpCC.flatten()), msg)
def test_solution(self):
""" Test DC OPF solution.
"""
msg = self.case_name
solution = self.solver.solve()
lmbda = solution["lmbda"]
mpf = mmread(join(DATA_DIR, self.case_name, "opf", "f_DC.mtx"))
mpx = mmread(join(DATA_DIR, self.case_name, "opf", "x_DC.mtx"))
mpmu_l = mmread(join(DATA_DIR, self.case_name, "opf", "mu_l_DC.mtx"))
mpmu_u = mmread(join(DATA_DIR, self.case_name, "opf", "mu_u_DC.mtx"))
mpmuLB = mmread(join(DATA_DIR, self.case_name, "opf", "muLB_DC.mtx"))
mpmuUB = mmread(join(DATA_DIR, self.case_name, "opf", "muUB_DC.mtx"))
diff = 1e-09
self.assertAlmostEqual(solution["f"], mpf[0], places=6)
self.assertTrue(mfeq1(solution["x"], mpx.flatten(), diff), msg)
self.assertTrue(mfeq1(lmbda["mu_l"], mpmu_l.flatten(), diff), msg)
self.assertTrue(mfeq1(lmbda["mu_u"], mpmu_u.flatten(), diff), msg)
self.assertTrue(mfeq1(lmbda["lower"], mpmuLB.flatten(), diff), msg)
self.assertTrue(mfeq1(lmbda["upper"], mpmuUB.flatten(), diff), msg)
def test_integrate_solution(self):
""" Test integration of DC OPF solution.
"""
self.solver.solve()
bus = mmread(join(DATA_DIR, self.case_name, "opf", "Bus_DC.mtx"))
gen = mmread(join(DATA_DIR, self.case_name, "opf", "Gen_DC.mtx"))
branch = mmread(join(DATA_DIR, self.case_name, "opf", "Branch_DC.mtx"))
pl = 2
# bus_i type Pd Qd Gs Bs area Vm Va baseKV zone Vmax Vmin lam_P lam_Q mu_Vmax mu_Vmin
for i, bs in enumerate(self.case.buses):
self.assertAlmostEqual(bs.v_magnitude, bus[i, 7], pl) # Vm
self.assertAlmostEqual(bs.v_angle, bus[i, 8], pl) # Va
self.assertAlmostEqual(bs.p_lmbda, bus[i, 13], pl) # lam_P
self.assertAlmostEqual(bs.q_lmbda, bus[i, 14], pl) # lam_Q
self.assertAlmostEqual(bs.mu_vmax, bus[i, 15], pl) # mu_Vmax
self.assertAlmostEqual(bs.mu_vmin, bus[i, 16], pl) # mu_Vmin
# bus Pg Qg Qmax Qmin Vg mBase status Pmax Pmin Pc1 Pc2 Qc1min Qc1max
# Qc2min Qc2max ramp_agc ramp_10 ramp_30 ramp_q apf mu_Pmax mu_Pmin
# mu_Qmax mu_Qmin
for i, gn in enumerate(self.case.generators):
self.assertAlmostEqual(gn.p, gen[i, 1], pl) # Pg
self.assertAlmostEqual(gn.q, gen[i, 2], pl) # Qg
self.assertAlmostEqual(gn.v_magnitude, gen[i, 5], pl) # Vg
self.assertAlmostEqual(gn.mu_pmax, gen[i, 21], pl) # mu_Pmax
self.assertAlmostEqual(gn.mu_pmin, gen[i, 22], pl) # mu_Pmin
self.assertAlmostEqual(gn.mu_qmax, gen[i, 23], pl) # mu_Qmax
self.assertAlmostEqual(gn.mu_qmin, gen[i, 24], pl) # mu_Qmin
# fbus tbus r x b rateA rateB rateC ratio angle status angmin angmax
# Pf Qf Pt Qt mu_Sf mu_St mu_angmin mu_angmax
for i, ln in enumerate(self.case.branches):
self.assertAlmostEqual(ln.p_from, branch[i, 13], pl) # Pf
self.assertAlmostEqual(ln.q_from, branch[i, 14], pl) # Qf
self.assertAlmostEqual(ln.p_to, branch[i, 15], pl) # Pt
self.assertAlmostEqual(ln.q_to, branch[i, 16], pl) # Qt
self.assertAlmostEqual(ln.mu_s_from, branch[i, 17], pl) # mu_Sf
self.assertAlmostEqual(ln.mu_s_to, branch[i, 18], pl) # mu_St
self.assertAlmostEqual(ln.mu_angmin, branch[i, 19], pl) # mu_angmin
self.assertAlmostEqual(ln.mu_angmax, branch[i, 20], pl) # mu_angmax
class DCOPFSolverTest(unittest.TestCase):
""" Defines a test case for the DC OPF solver.
"""
def __init__(self, methodName='runTest'):
super(DCOPFSolverTest, self).__init__(methodName)
self.case_name = "case6ww"
self.case = None
self.opf = None
self.om = None
self.solver = None
def setUp(self):
""" The test runner will execute this method prior to each test.
"""
self.case = Case.load(join(DATA_DIR, self.case_name,
self.case_name + ".pkl"))
self.case.sort_generators() # ext2int
self.opf = OPF(self.case, dc=True)
self.om = self.opf._construct_opf_model(self.case)
self.solver = DCOPFSolver(self.om)
def test_constraints(self):
""" Test equality and inequality constraints.
"""
AA, ll, uu = self.solver._linear_constraints(self.om)
mpA = mmread(join(DATA_DIR, self.case_name, "opf", "A_DC.mtx"))
mpl = mmread(join(DATA_DIR, self.case_name, "opf", "l_DC.mtx"))
mpu = mmread(join(DATA_DIR, self.case_name, "opf", "u_DC.mtx"))
self.assertTrue(mfeq2(AA, mpA.tocsr()), self.case_name)
self.assertTrue(mfeq1(ll, mpl.flatten()), self.case_name)
self.assertTrue(mfeq1(uu, mpu.flatten()), self.case_name)
def test_var_bounds(self):
""" Test bounds on optimisation variables.
"""
_, xmin, xmax = self.solver._var_bounds()
# mpx0 = mmread(join(DATA_DIR, self.case_name, "opf", "x0_DC.mtx"))
mpxmin = mmread(join(DATA_DIR, self.case_name, "opf", "xmin_DC.mtx"))
mpxmax = mmread(join(DATA_DIR, self.case_name, "opf", "xmax_DC.mtx"))
# self.assertTrue(alltrue(x0 == mpx0.flatten()), self.case_name)
self.assertTrue(mfeq1(xmin, mpxmin.flatten()), self.case_name)
self.assertTrue(mfeq1(xmax, mpxmax.flatten()), self.case_name)
def test_initial_point(self):
""" Test selection of an initial interior point.
"""
b, l, g, _ = self.solver._unpack_model(self.om)
_, LB, UB = self.solver._var_bounds()
_, _, _, _, _, ny, _ = self.solver._dimension_data(b, l, g)
x0 = self.solver._initial_interior_point(b, g, LB, UB, ny)
mpx0 = mmread(join(DATA_DIR, self.case_name, "opf", "x0_DC.mtx"))
self.assertTrue(mfeq1(x0, mpx0.flatten(), 1e-9), self.case_name)
def test_pwl_costs(self):
""" Test piecewise linear costs.
"""
msg = self.case_name
b, l, g, _ = self.solver._unpack_model(self.om)
_, ipwl, _, _, _, ny, nxyz = self.solver._dimension_data(b, l, g)
Npwl, Hpwl, Cpwl, fparm_pwl, _ = \
self.solver._pwl_costs(ny, nxyz, ipwl)
if Npwl is not None:
mpNpwl = mmread(join(DATA_DIR, self.case_name, "opf", "Npwl.mtx"))
mpHpwl = mmread(join(DATA_DIR, self.case_name, "opf", "Hpwl.mtx"))
mpCpwl = mmread(join(DATA_DIR, self.case_name, "opf", "Cpwl.mtx"))
mpfparm = mmread(join(DATA_DIR, self.case_name, "opf","fparm_pwl.mtx"))
self.assertTrue(mfeq2(Npwl, mpNpwl.tocsr()), msg)
self.assertTrue(mfeq2(Hpwl.todense(), mpHpwl), msg)
self.assertTrue(mfeq1(Cpwl, mpCpwl.flatten()), msg)
self.assertTrue(mfeq1(fparm_pwl.flatten(), mpfparm.flatten()), msg)
def test_poly_costs(self):
""" Test quadratic costs.
"""
msg = self.case_name
base_mva = self.om.case.base_mva
b, l, g, _ = self.solver._unpack_model(self.om)
ipol, _, _, _, _, _, nxyz = self.solver._dimension_data(b, l, g)
Npol, Hpol, Cpol, fparm_pol, _, _ = \
self.solver._quadratic_costs(g, ipol, nxyz, base_mva)
if Npol is not None:
mpNpol = mmread(join(DATA_DIR, self.case_name, "opf", "Npol.mtx"))
mpHpol = mmread(join(DATA_DIR, self.case_name, "opf", "Hpol.mtx"))
mpCpol = mmread(join(DATA_DIR, self.case_name, "opf", "Cpol.mtx"))
mpfparm = mmread(join(DATA_DIR, self.case_name, "opf","fparm_pol.mtx"))
self.assertTrue(mfeq2(Npol, mpNpol.tocsr()), msg)
self.assertTrue(mfeq2(Hpol, mpHpol.tocsr()), msg)
self.assertTrue(mfeq1(Cpol, mpCpol.flatten()), msg)
self.assertTrue(mfeq2(fparm_pol, mpfparm), msg)
def test_combine_costs(self):
""" Test combination of pwl and poly costs.
"""
msg = self.case_name
base_mva = self.om.case.base_mva
b, l, g, _ = self.solver._unpack_model(self.om)
ipol, ipwl, _, _, nw, ny, nxyz = self.solver._dimension_data(b, l, g)
Npwl, Hpwl, Cpwl, fparm_pwl, any_pwl = self.solver._pwl_costs(ny, nxyz,
ipwl)
Npol, Hpol, Cpol, fparm_pol, _, npol = \
self.solver._quadratic_costs(g, ipol, nxyz, base_mva)
NN, HHw, CCw, ffparm = \
self.solver._combine_costs(Npwl, Hpwl, Cpwl, fparm_pwl, any_pwl,
Npol, Hpol, Cpol, fparm_pol, npol, nw)
mpNN = mmread(join(DATA_DIR, self.case_name, "opf", "NN.mtx"))
mpHHw = mmread(join(DATA_DIR, self.case_name, "opf", "HHw.mtx"))
mpCCw = mmread(join(DATA_DIR, self.case_name, "opf", "CCw.mtx"))
mpffparm = mmread(join(DATA_DIR, self.case_name, "opf", "ffparm.mtx"))
self.assertTrue(mfeq2(NN, mpNN.tocsr()), msg)
self.assertTrue(mfeq2(HHw, mpHHw.tocsr()), msg)
self.assertTrue(mfeq1(CCw, mpCCw.flatten()), msg)
self.assertTrue(mfeq2(ffparm, mpffparm), msg)
def test_coefficient_transformation(self):
""" Test transformation of quadratic coefficients for w into
coefficients for X.
"""
msg = self.case_name
base_mva = self.om.case.base_mva
b, l, g, _ = self.solver._unpack_model(self.om)
ipol, ipwl, _, _, nw, ny, nxyz = self.solver._dimension_data(b, l, g)
Npwl, Hpwl, Cpwl, fparm_pwl, any_pwl = \
self.solver._pwl_costs(ny, nxyz, ipwl)
Npol, Hpol, Cpol, fparm_pol, polycf, npol = \
self.solver._quadratic_costs(g, ipol, nxyz, base_mva)
NN, HHw, CCw, ffparm = \
self.solver._combine_costs(Npwl, Hpwl, Cpwl, fparm_pwl, any_pwl,
Npol, Hpol, Cpol, fparm_pol, npol, nw)
HH, CC, _ = \
self.solver._transform_coefficients(NN, HHw, CCw, ffparm, polycf,
any_pwl, npol, nw)
mpHH = mmread(join(DATA_DIR, self.case_name, "opf", "HH.mtx"))
mpCC = mmread(join(DATA_DIR, self.case_name, "opf", "CC.mtx"))
self.assertTrue(mfeq2(HH, mpHH.tocsr()), msg)
self.assertTrue(mfeq1(CC, mpCC.flatten()), msg)
def test_solution(self):
""" Test DC OPF solution.
"""
msg = self.case_name
solution = self.solver.solve()
lmbda = solution["lmbda"]
mpf = mmread(join(DATA_DIR, self.case_name, "opf", "f_DC.mtx"))
mpx = mmread(join(DATA_DIR, self.case_name, "opf", "x_DC.mtx"))
mpmu_l = mmread(join(DATA_DIR, self.case_name, "opf", "mu_l_DC.mtx"))
mpmu_u = mmread(join(DATA_DIR, self.case_name, "opf", "mu_u_DC.mtx"))
mpmuLB = mmread(join(DATA_DIR, self.case_name, "opf", "muLB_DC.mtx"))
mpmuUB = mmread(join(DATA_DIR, self.case_name, "opf", "muUB_DC.mtx"))
diff = 1e-09
self.assertAlmostEqual(solution["f"], mpf[0], places=6)
self.assertTrue(mfeq1(solution["x"], mpx.flatten(), diff), msg)
self.assertTrue(mfeq1(lmbda["mu_l"], mpmu_l.flatten(), diff), msg)
self.assertTrue(mfeq1(lmbda["mu_u"], mpmu_u.flatten(), diff), msg)
self.assertTrue(mfeq1(lmbda["lower"], mpmuLB.flatten(), diff), msg)
self.assertTrue(mfeq1(lmbda["upper"], mpmuUB.flatten(), diff), msg)
def test_integrate_solution(self):
""" Test integration of DC OPF solution.
"""
self.solver.solve()
bus = mmread(join(DATA_DIR, self.case_name, "opf", "Bus_DC.mtx"))
gen = mmread(join(DATA_DIR, self.case_name, "opf", "Gen_DC.mtx"))
branch = mmread(join(DATA_DIR, self.case_name, "opf", "Branch_DC.mtx"))
pl = 2
# bus_i type Pd Qd Gs Bs area Vm Va baseKV zone Vmax Vmin lam_P lam_Q mu_Vmax mu_Vmin
for i, bs in enumerate(self.case.buses):
self.assertAlmostEqual(bs.v_magnitude, bus[i, 7], pl) # Vm
self.assertAlmostEqual(bs.v_angle, bus[i, 8], pl) # Va
self.assertAlmostEqual(bs.p_lmbda, bus[i, 13], pl) # lam_P
self.assertAlmostEqual(bs.q_lmbda, bus[i, 14], pl) # lam_Q
self.assertAlmostEqual(bs.mu_vmax, bus[i, 15], pl) # mu_Vmax
self.assertAlmostEqual(bs.mu_vmin, bus[i, 16], pl) # mu_Vmin
# bus Pg Qg Qmax Qmin Vg mBase status Pmax Pmin Pc1 Pc2 Qc1min Qc1max
# Qc2min Qc2max ramp_agc ramp_10 ramp_30 ramp_q apf mu_Pmax mu_Pmin
# mu_Qmax mu_Qmin
for i, gn in enumerate(self.case.generators):
self.assertAlmostEqual(gn.p, gen[i, 1], pl) # Pg
self.assertAlmostEqual(gn.q, gen[i, 2], pl) # Qg
self.assertAlmostEqual(gn.v_magnitude, gen[i, 5], pl) # Vg
self.assertAlmostEqual(gn.mu_pmax, gen[i, 21], pl) # mu_Pmax
self.assertAlmostEqual(gn.mu_pmin, gen[i, 22], pl) # mu_Pmin
self.assertAlmostEqual(gn.mu_qmax, gen[i, 23], pl) # mu_Qmax
self.assertAlmostEqual(gn.mu_qmin, gen[i, 24], pl) # mu_Qmin
