def split_into_islands(self,
ignore_single_node_islands=False
) -> List["SnapshotData"]:
"""
Split circuit into islands
:param numeric_circuit: NumericCircuit instance
:param ignore_single_node_islands: ignore islands composed of only one bus
:return: List[NumericCircuit]
"""
# compute the adjacency matrix
A = tp.get_adjacency_matrix(
C_branch_bus_f=self.Cf,
C_branch_bus_t=self.Ct,
branch_active=self.branch_data.branch_active[:, 0],
bus_active=self.bus_data.bus_active[:, 0])
# find the matching islands
idx_islands = tp.find_islands(A)
if len(idx_islands) == 1:
# numeric_circuit.compute_all() # compute the internal magnitudes
return [self]
else:
circuit_islands = list() # type: List[SnapshotData]
for bus_idx in idx_islands:
if ignore_single_node_islands:
if len(bus_idx) > 1:
island = self.get_island(bus_idx)
# island.compute_all() # compute the internal magnitudes
circuit_islands.append(island)
else:
island = self.get_island(bus_idx)
# island.compute_all() # compute the internal magnitudes
circuit_islands.append(island)
return circuit_islands
def split_into_islands_acdc(
numeric_circuit: AcDcSnapshotCircuit,
ignore_single_node_islands=False) -> List[AcDcSnapshotCircuit]:
"""
Split circuit into islands
:param numeric_circuit: NumericCircuit instance
:param ignore_single_node_islands: ignore islands composed of only one bus
:return: List[NumericCircuit]
"""
# compute the adjacency matrix
A = tp.get_adjacency_matrix(C_branch_bus_f=numeric_circuit.C_branch_bus_f,
C_branch_bus_t=numeric_circuit.C_branch_bus_t,
branch_active=numeric_circuit.branch_active,
bus_active=numeric_circuit.bus_active)
# find the matching islands
idx_islands = tp.find_islands(A)
if len(idx_islands) == 1:
numeric_circuit.consolidate() # compute the internal magnitudes
return [numeric_circuit]
else:
circuit_islands = list() # type: List[AcDcSnapshotCircuit]
for bus_idx in idx_islands:
if ignore_single_node_islands:
if len(bus_idx) > 1:
island = get_acdc_pf_island(numeric_circuit, bus_idx)
island.consolidate() # compute the internal magnitudes
circuit_islands.append(island)
else:
island = get_acdc_pf_island(numeric_circuit, bus_idx)
island.consolidate() # compute the internal magnitudes
circuit_islands.append(island)
return circuit_islands
def split_opf_time_circuit_into_islands(
numeric_circuit: OpfTimeCircuit,
ignore_single_node_islands=False) -> List[OpfTimeCircuit]:
"""
Split circuit into islands
:param numeric_circuit: NumericCircuit instance
:param ignore_single_node_islands: ignore islands composed of only one bus
:return: List[NumericCircuit]
"""
circuit_islands = list() # type: List[OpfTimeCircuit]
all_buses = np.arange(numeric_circuit.nbus)
all_time = np.arange(numeric_circuit.ntime)
# find the probable time slices
states = find_different_states(
branch_active_prof=numeric_circuit.branch_active)
if len(states) == 1:
# compute the adjacency matrix
A = tp.get_adjacency_matrix(
C_branch_bus_f=numeric_circuit.C_branch_bus_f,
C_branch_bus_t=numeric_circuit.C_branch_bus_t,
branch_active=numeric_circuit.branch_active[0, :],
bus_active=numeric_circuit.bus_active[0, :])
# find the matching islands
idx_islands = tp.find_islands(A)
if len(
idx_islands
) == 1: # only one state and only one island -> just copy the data --------------------------
numeric_circuit.consolidate() # compute the internal magnitudes
return [numeric_circuit]
else: # one state, many islands -> split by bus index, keep the time ------------------------------------------
for bus_idx in idx_islands:
if ignore_single_node_islands:
if len(bus_idx) > 1:
island = get_opf_time_island(numeric_circuit, bus_idx,
all_time)
island.consolidate() # compute the internal magnitudes
circuit_islands.append(island)
else:
island = get_opf_time_island(numeric_circuit, bus_idx,
all_time)
island.consolidate() # compute the internal magnitudes
circuit_islands.append(island)
else: # -----------------------------------------------------------------------------------------------------------
for t, t_array in states.items():
# compute the adjacency matrix
A = tp.get_adjacency_matrix(
C_branch_bus_f=numeric_circuit.C_branch_bus_f,
C_branch_bus_t=numeric_circuit.C_branch_bus_t,
branch_active=numeric_circuit.branch_active[t_array, :],
bus_active=numeric_circuit.bus_active[t_array, :])
# find the matching islands
idx_islands = tp.find_islands(A)
if len(
idx_islands
) == 1: # many time states, one island -> slice only by time ----------------------------
island = get_opf_time_island(
numeric_circuit, all_buses,
t_array) # convert the circuit to an island
island.consolidate() # compute the internal magnitudes
circuit_islands.append(island)
else: # any time states, many islands -> slice by both time and bus index ---------------------------------
for bus_idx in idx_islands:
if ignore_single_node_islands:
if len(bus_idx) > 1:
island = get_opf_time_island(
numeric_circuit, bus_idx, t_array)
island.consolidate(
) # compute the internal magnitudes
circuit_islands.append(island)
else:
island = get_opf_time_island(numeric_circuit, bus_idx,
t_array)
island.consolidate() # compute the internal magnitudes
circuit_islands.append(island)
return circuit_islands
def split_into_islands(self,
ignore_single_node_islands=False
) -> List["TimeCircuit"]:
"""
Split circuit into islands
:param ignore_single_node_islands: ignore islands composed of only one bus
:return: List[NumericCircuit]
"""
circuit_islands = list() # type: List[TimeCircuit]
all_buses = np.arange(self.nbus)
all_time = np.arange(self.ntime)
# find the probable time slices
states = find_different_states(
branch_active_prof=self.branch_data.branch_active.T)
if len(states) == 1:
# compute the adjacency matrix
A = tp.get_adjacency_matrix(
C_branch_bus_f=self.Cf,
C_branch_bus_t=self.Ct,
branch_active=self.branch_data.branch_active[:, 0],
bus_active=self.bus_data.bus_active[:, 0])
# find the matching islands
idx_islands = tp.find_islands(A)
if len(
idx_islands
) == 1: # only one state and only one island -> just copy the data
return [self]
else: # one state, many islands -> split by bus index, keep the time
for bus_idx in idx_islands:
if ignore_single_node_islands:
if len(bus_idx) > 1:
island = self.get_island(bus_idx, all_time)
circuit_islands.append(island)
else:
island = self.get_island(bus_idx, all_time)
circuit_islands.append(island)
return circuit_islands
else: # ------------------------------------------------------------------------------------------------------
for t, t_array in states.items():
# compute the adjacency matrix
A = tp.get_adjacency_matrix(
C_branch_bus_f=self.Cf,
C_branch_bus_t=self.Ct,
branch_active=self.branch_data.branch_active[:, t_array],
bus_active=self.bus_data.bus_active[:, t_array])
# find the matching islands
idx_islands = tp.find_islands(A)
if len(
idx_islands
) == 1: # many time states, one island -> slice only by time ------------------------
island = self.get_island(
all_buses, t_array) # convert the circuit to an island
circuit_islands.append(island)
else: # any time states, many islands -> slice by both time and bus index -----------------------------
for bus_idx in idx_islands:
if ignore_single_node_islands:
if len(bus_idx) > 1:
island = self.get_island(bus_idx, t_array)
circuit_islands.append(island)
else:
island = self.get_island(bus_idx, t_array)
circuit_islands.append(island)
return circuit_islands
