def _extract_single_results(net, ppc):
reset_results(net, suffix="_sc")
_get_single_bus_results(net, ppc)
net["_options"]["ac"] = True
net["_options"]["trafo_loading"] = "current"
bus_lookup_aranged = _get_aranged_lookup(net)
bus_pq = np.zeros(shape=(len(net["bus"].index), 2), dtype=np.float)
_get_branch_results(net, ppc, bus_lookup_aranged, bus_pq, suffix="_sc")
def _extract_single_results(net, ppc):
for element in ["line", "trafo"]:
net["res_%s_sc"%element] = pd.DataFrame(np.nan, index=net[element].index,
columns=net["_empty_res_%s"%element].columns,
dtype='float')
_get_single_bus_results(net, ppc)
net["_options"]["ac"] = True
net["_options"]["trafo_loading"] = "current"
bus_lookup_aranged = _get_aranged_lookup(net)
bus_pq = np.zeros(shape=(len(net["bus"].index), 2), dtype=np.float)
_get_branch_results(net, ppc, bus_lookup_aranged, bus_pq, suffix="_sc")
def _get_bus_p_q_results_from_ppc(self, net, ppc, net_bus_idx,
ppc_bus_idx):
"""
reads p, q results from ppc to net. Note: This function returns wrong vales if shunts, xwards and wards are in net
@param net:
@param ppc:
@return:
"""
# read bus_pq array which contains p and q values for each bus in net
bus_pq = np.zeros(shape=(len(net["bus"].index), 2), dtype=float)
bus_pq[net_bus_idx, 0] = ppc["bus"][ppc_bus_idx, PD] * 1e3
bus_pq[net_bus_idx, 1] = ppc["bus"][ppc_bus_idx, QD] * 1e3
bus_lookup_aranged = _get_aranged_lookup(net)
_get_gen_results(net, ppc, bus_lookup_aranged, bus_pq)
_get_bus_results(net, ppc, bus_pq)
net["res_bus"].index = net["bus"].index