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py_psops.py
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####################################################################################################
# The project Py_PSOPS is the python API for a Power System Electromechanical Simulator called PSOPS.
# PSOPS stands for Power System Optimal Power Parameter Selection.
# The related paper' preprint can be found on arxiv, https://ieeexplore.ieee.org/document/9833418.
# All the techniques used in PSOPS have been published, references' DOIs are as follows
# [1] https://ieeexplore.ieee.org/document/8798601/.
# [2] https://ieeexplore.ieee.org/document/8765766/.
# [3] https://ieeexplore.ieee.org/document/8283798/.
####################################################################################################
from ctypes import *
import platform
import os
import numpy as np
import datetime
from scipy.stats import qmc
from tqdm import tqdm
import ray
import torch
# Environment variable setting
parent_dir, _ = os.path.split(os.path.abspath(__file__))
array_1d_double = np.ctypeslib.ndpointer(
dtype=np.double, ndim=1, flags='CONTIGUOUS')
array_1d_int = np.ctypeslib.ndpointer(dtype=np.int32, ndim=1, flags='CONTIGUOUS')
if platform.system() == 'Windows':
os.environ['path'] += ';%s\\dll_win' % parent_dir
elif platform.system() == 'Linux':
os.environ['PATH'] += ';%s/dll_linux' % parent_dir
else:
print('Unknown operating system. Please check!')
exit(-1)
class Py_PSOPS:
def __init__(self, flg=0, rng=None):
"""Construction.
Args:
flg (int, optional): An internal flag used to distinguish the API in parallel computing. Defaults to 0.
rng (numpy.random.Generator, optional): The random seed (random generator since numpy 1.19). Defaults to None. If none, np.random.default_rng() will be used.
"""
# api flag
self.__flg = flg
# random state
self.set_random_state(rng=rng)
# working direction
self.__workingDir = parent_dir
# dll path
dll_path = self.__workingDir
# load .dll or .so
if platform.system() == 'Windows':
dll_path += '\\dll_win\\PSOPS_Source.dll'
elif platform.system() == 'Linux':
# dll_path += '/dll_linux/libPSOPS-Console-QT-V.so.1.0.0'
dll_path += '/dll_linux/libPSOPS_Source.so.1.0.0'
else:
print('Unknown operating system. Please check!')
exit(-1)
self._load_dll(dll_path)
# load config file
self._load_configuration(self.__workingDir + '/config.txt')
# psops function test
self._basic_fun_test()
# basic info
self._get_basic_info()
# create buffer
self._create_buffer()
# get initial state
self._get_initial_state()
# time stamp
self.__timeStamp = datetime.datetime.now().strftime('%Y-%m-%d_%H-%M-%S.%f')
# current total_step
self.__cur_total_step = -1
# bounds
self.__generator_p_bounds = [0, 1.5]
self.__load_pq_bounds = [0.7, 1.2]
print('api for psops creation successful.')
def __del__(self):
"""Deconstruction
"""
print('api for psops deletion successful.')
def set_random_state(self, rng):
if type(rng) is int:
assert rng >= 0, f'int rng should not be negative, current rng is {rng}.'
self.__rng = np.random.default_rng(rng)
elif rng is not None:
self.__rng = rng
else:
self.__rng = np.random.default_rng()
def _load_dll(self, dll_path: str):
"""Function of loading the .dll or .so file of PSOPS with ctypes library. Load in all the external functions of PSOPS.
Most of the details can be found in the corresponding python functions.
Args:
dll_path (str): The directory of the .dll or .so file.
"""
self.__psDLL = cdll.LoadLibrary(dll_path)
# mpi settings. TODO deal with mpi
# mpi initiation
self.__psDLL.init_MPI.argtypes = None
self.__psDLL.init_MPI.restype = c_bool
# process mapping, bind the processes to certain CPU cores/processors.
self.__psDLL.mapping_MPI.argtypes = None
self.__psDLL.mapping_MPI.restype = c_bool
# finalize mpi
self.__psDLL.finalize_MPI.argtypes = None
self.__psDLL.finalize_MPI.restype = c_bool
# basic fun. TODO change config by python
# read settings from the config file locating at './config.txt'
self.__psDLL.read_Settings.argtypes = [c_wchar_p, c_int]
self.__psDLL.read_Settings.restype = c_bool
# call the calculation function
self.__psDLL.cal_Functions.argtypes = [c_int]
self.__psDLL.cal_Functions.restype = c_bool
# calculation
# power flow
self.__psDLL.cal_Power_Flow_Basic_Newton_Raphson.argtypes = None
self.__psDLL.cal_Power_Flow_Basic_Newton_Raphson.restype = c_int
# stability simulation
self.__psDLL.cal_Transient_Stability_Simulation_TI_SV.argtypes = [c_double, c_int]
self.__psDLL.cal_Transient_Stability_Simulation_TI_SV.restype = c_int
# cal info and cal control
self.__psDLL.get_Info_LF_Iter.argtypes = [c_int]
self.__psDLL.get_Info_LF_Iter.restype = c_int
self.__psDLL.get_Info_TE.argtypes = None
self.__psDLL.get_Info_TE.restype = c_double
self.__psDLL.get_Info_DT.argtypes = None
self.__psDLL.get_Info_DT.restype = c_double
self.__psDLL.get_Info_Max_Step.argtypes = None
self.__psDLL.get_Info_Max_Step.restype = c_int
self.__psDLL.get_Info_Finish_Step.argtypes = None
self.__psDLL.get_Info_Finish_Step.restype = c_int
self.__psDLL.get_Info_Fault_Step_Sequence.argtypes = [array_1d_double, c_int]
self.__psDLL.get_Info_Fault_Step_Sequence.restype = c_bool
self.__psDLL.get_Info_Fault_Time_Sequence.argtypes = [array_1d_double, c_int]
self.__psDLL.get_Info_Fault_Time_Sequence.restype = c_bool
self.__psDLL.set_Info_TS_Step_Network_State.argtypes = [c_int, c_bool, c_int]
self.__psDLL.set_Info_TS_Step_Network_State.restype = c_bool
self.__psDLL.set_Info_TS_Step_Element_State.argtypes = [c_int, c_bool, c_int]
self.__psDLL.set_Info_TS_Step_Element_State.restype = c_bool
self.__psDLL.set_Info_TS_Step_All_State.argtypes = [c_int, c_bool, c_int]
self.__psDLL.set_Info_TS_Step_All_State.restype = c_bool
# asynchronous systems
self.__psDLL.get_ACSystem_Number.argtypes = None
self.__psDLL.get_ACSystem_Number.restype = c_int
self.__psDLL.get_ACSystem_TS_CurStep_Result.argtypes = [array_1d_double, c_int]
self.__psDLL.get_ACSystem_TS_CurStep_Result.restype = c_bool
self.__psDLL.get_ACSystem_TS_All_Result.argtypes = [array_1d_double, c_int]
self.__psDLL.get_ACSystem_TS_All_Result.restype = c_bool
# bus
self.__psDLL.get_Bus_Number.argtypes = [c_int]
self.__psDLL.get_Bus_Number.restype = c_int
self.__psDLL.get_Bus_Name.argtypes = [c_int, c_int]
self.__psDLL.get_Bus_Name.restype = c_char_p
self.__psDLL.get_Bus_Sys_No.argtypes = [c_int]
self.__psDLL.get_Bus_Sys_No.restype = c_int
self.__psDLL.get_Bus_VMax.argtypes = [c_int, c_int]
self.__psDLL.get_Bus_VMax.restype = c_double
self.__psDLL.get_Bus_VMin.argtypes = [c_int, c_int]
self.__psDLL.get_Bus_VMin.restype = c_double
self.__psDLL.get_Bus_LF_Result.argtypes = [array_1d_double, c_int, c_int]
self.__psDLL.get_Bus_LF_Result.restype = c_bool
self.__psDLL.get_Bus_TS_CurStep_Result.argtypes = [array_1d_double, c_int, c_int]
self.__psDLL.get_Bus_TS_CurStep_Result.restype = c_bool
self.__psDLL.get_Bus_TS_All_Result.argtypes = [array_1d_double, c_int]
self.__psDLL.get_Bus_TS_All_Result.restype = c_bool
# acline
self.__psDLL.get_ACLine_Number.argtypes = [c_int]
self.__psDLL.get_ACLine_Number.restype = c_int
self.__psDLL.get_ACLine_I_No.argtypes = [c_int, c_int]
self.__psDLL.get_ACLine_I_No.restype = c_int
self.__psDLL.get_ACLine_J_No.argtypes = [c_int, c_int]
self.__psDLL.get_ACLine_J_No.restype = c_int
self.__psDLL.get_ACLine_Sys_No.argtypes = [c_int]
self.__psDLL.get_ACLine_Sys_No.restype = c_int
self.__psDLL.get_ACLine_No.argtypes = [c_int, c_int]
self.__psDLL.get_ACLine_No.restype = c_long
self.__psDLL.get_ACLine_Conductance.argtypes = [c_int, c_int]
self.__psDLL.get_ACLine_Conductance.restype = c_double
self.__psDLL.set_ACLine_Conductance.argtypes = [c_double, c_int, c_int]
self.__psDLL.set_ACLine_Conductance.restype = c_bool
self.__psDLL.get_ACLine_Susceptance.argtypes = [c_int, c_int]
self.__psDLL.get_ACLine_Susceptance.restype = c_double
self.__psDLL.set_ACLine_Susceptance.argtypes = [c_double, c_int, c_int]
self.__psDLL.set_ACLine_Susceptance.restype = c_bool
self.__psDLL.get_ACLine_Gnd_Susceptance.argtypes = [c_int, c_int]
self.__psDLL.get_ACLine_Gnd_Susceptance.restype = c_double
self.__psDLL.set_ACLine_Gnd_Susceptance.argtypes = [c_double, c_int, c_int]
self.__psDLL.set_ACLine_Gnd_Susceptance.restype = c_bool
self.__psDLL.get_ACLine_Current_Capacity.argtypes = [c_int, c_int]
self.__psDLL.get_ACLine_Current_Capacity.restype = c_double
self.__psDLL.get_ACLine_LF_Result.argtypes = [array_1d_double, c_int, c_int]
self.__psDLL.get_ACLine_LF_Result.restype = c_bool
self.__psDLL.get_ACLine_TS_CurStep_Result.argtypes = [array_1d_double, c_int, c_int]
self.__psDLL.get_ACLine_TS_CurStep_Result.restype = c_bool
self.__psDLL.get_ACLine_TS_All_Result.argtypes = [array_1d_double, c_int]
self.__psDLL.get_ACLine_TS_All_Result.restype = c_bool
# transformer
self.__psDLL.get_Transformer_Number.argtypes = [c_int]
self.__psDLL.get_Transformer_Number.restype = c_int
self.__psDLL.get_Transformer_I_No.argtypes = [c_int, c_int]
self.__psDLL.get_Transformer_I_No.restype = c_int
self.__psDLL.get_Transformer_J_No.argtypes = [c_int, c_int]
self.__psDLL.get_Transformer_J_No.restype = c_int
self.__psDLL.get_Transformer_Sys_No.argtypes = [c_int]
self.__psDLL.get_Transformer_Sys_No.restype = c_int
self.__psDLL.get_Transformer_No.argtypes = [c_int, c_int]
self.__psDLL.get_Transformer_No.restype = c_long
self.__psDLL.get_Transformer_Conductance.argtypes = [c_int, c_int]
self.__psDLL.get_Transformer_Conductance.restype = c_double
self.__psDLL.set_Transformer_Conductance.argtypes = [c_double, c_int, c_int]
self.__psDLL.set_Transformer_Conductance.restype = c_bool
self.__psDLL.get_Transformer_Susceptance.argtypes = [c_int, c_int]
self.__psDLL.get_Transformer_Susceptance.restype = c_double
self.__psDLL.set_Transformer_Susceptance.argtypes = [c_double, c_int, c_int]
self.__psDLL.set_Transformer_Susceptance.restype = c_bool
self.__psDLL.get_Transformer_ITap.argtypes = [c_int, c_int]
self.__psDLL.get_Transformer_ITap.restype = c_double
self.__psDLL.set_Transformer_ITap.argtypes = [c_double, c_int, c_int]
self.__psDLL.set_Transformer_ITap.restype = c_bool
self.__psDLL.get_Transformer_JTap.argtypes = [c_int, c_int]
self.__psDLL.get_Transformer_JTap.restype = c_double
self.__psDLL.set_Transformer_JTap.argtypes = [c_double, c_int, c_int]
self.__psDLL.set_Transformer_JTap.restype = c_bool
self.__psDLL.get_Transformer_Current_Capacity.argtypes = [c_int, c_int]
self.__psDLL.get_Transformer_Current_Capacity.restype = c_double
self.__psDLL.get_Transformer_LF_Result.argtypes = [array_1d_double, c_int, c_int]
self.__psDLL.get_Transformer_LF_Result.restype = c_bool
self.__psDLL.get_Transformer_TS_CurStep_Result.argtypes = [array_1d_double, c_int, c_int]
self.__psDLL.get_Transformer_TS_CurStep_Result.restype = c_bool
self.__psDLL.get_Transformer_TS_All_Result.argtypes = [array_1d_double, c_int]
self.__psDLL.get_Transformer_TS_All_Result.restype = c_bool
# generator
self.__psDLL.get_Generator_Number.argtypes = [c_int]
self.__psDLL.get_Generator_Number.restype = c_int
self.__psDLL.get_Generator_Bus_No.argtypes = [c_int, c_int]
self.__psDLL.get_Generator_Bus_No.restype = c_int
self.__psDLL.get_Generator_Sys_No.argtypes = [c_int]
self.__psDLL.get_Generator_Sys_No.restype = c_int
self.__psDLL.get_Generator_LF_Bus_Type.argtypes = [c_int, c_int]
self.__psDLL.get_Generator_LF_Bus_Type.restype = c_int
self.__psDLL.get_Generator_V0.argtypes = [c_int, c_int]
self.__psDLL.get_Generator_V0.restype = c_double
self.__psDLL.set_Generator_V0.argtypes = [c_double, c_int, c_int]
self.__psDLL.set_Generator_V0.restype = c_bool
self.__psDLL.get_Generator_P0.argtypes = [c_int, c_int]
self.__psDLL.get_Generator_P0.restype = c_double
self.__psDLL.set_Generator_P0.argtypes = [c_double, c_int, c_int]
self.__psDLL.set_Generator_P0.restype = c_bool
self.__psDLL.get_Generator_PMax.argtypes = [c_int, c_int]
self.__psDLL.get_Generator_PMax.restype = c_double
self.__psDLL.get_Generator_PMin.argtypes = [c_int, c_int]
self.__psDLL.get_Generator_PMin.restype = c_double
self.__psDLL.get_Generator_QMax.argtypes = [c_int, c_int]
self.__psDLL.get_Generator_QMax.restype = c_double
self.__psDLL.get_Generator_QMin.argtypes = [c_int, c_int]
self.__psDLL.get_Generator_QMin.restype = c_double
self.__psDLL.get_Generator_Tj.argtypes = [c_int, c_int]
self.__psDLL.get_Generator_Tj.restype = c_double
self.__psDLL.get_Generator_TS_Type.argtypes = [c_int, c_int]
self.__psDLL.get_Generator_TS_Type.restype = c_char_p
self.__psDLL.set_Generator_Environment_Status.argtypes = [c_int, c_double, c_int, c_int]
self.__psDLL.set_Generator_Environment_Status.restype = c_bool
self.__psDLL.get_Generator_LF_Result.argtypes = [array_1d_double, c_int, c_int]
self.__psDLL.get_Generator_LF_Result.restype = c_bool
self.__psDLL.get_Generator_TS_Result_Dimension.argtypes = [c_int, c_int, c_bool]
self.__psDLL.get_Generator_TS_Result_Dimension.restype = c_int
self.__psDLL.get_Generator_TS_CurStep_Result.argtypes = [array_1d_double, c_int, c_int, c_bool]
self.__psDLL.get_Generator_TS_CurStep_Result.restype = c_bool
self.__psDLL.get_Generator_TS_All_Result.argtypes = [array_1d_double, c_int]
self.__psDLL.get_Generator_TS_All_Result.restype = c_bool
# exciter
self.__psDLL.get_Generator_Exciter_TS_Result_Dimension.argtypes = [c_int, c_int]
self.__psDLL.get_Generator_Exciter_TS_Result_Dimension.restype = c_int
self.__psDLL.get_Generator_Exciter_TS_CurStep_Result.argtypes = [array_1d_double, c_int, c_int]
self.__psDLL.get_Generator_Exciter_TS_CurStep_Result.restype = c_bool
# governor
self.__psDLL.get_Generator_Governor_TS_Result_Dimension.argtypes = [c_int, c_int]
self.__psDLL.get_Generator_Governor_TS_Result_Dimension.restype = c_int
self.__psDLL.get_Generator_Governor_TS_CurStep_Result.argtypes = [array_1d_double, c_int, c_int]
self.__psDLL.get_Generator_Governor_TS_CurStep_Result.restype = c_bool
# pss
self.__psDLL.get_Generator_PSS_TS_Result_Dimension.argtypes = [c_int, c_int]
self.__psDLL.get_Generator_PSS_TS_Result_Dimension.restype = c_int
self.__psDLL.get_Generator_PSS_TS_CurStep_Result.argtypes = [array_1d_double, c_int, c_int]
self.__psDLL.get_Generator_PSS_TS_CurStep_Result.restype = c_bool
# load
self.__psDLL.get_Load_Number.argtypes = [c_int]
self.__psDLL.get_Load_Number.restype = c_int
self.__psDLL.get_Load_Bus_No.argtypes = [c_int, c_int]
self.__psDLL.get_Load_Bus_No.restype = c_int
self.__psDLL.get_Load_Sys_No.argtypes = [c_int]
self.__psDLL.get_Load_Sys_No.restype = c_int
self.__psDLL.get_Load_P0.argtypes = [c_int, c_int]
self.__psDLL.get_Load_P0.restype = c_double
self.__psDLL.set_Load_P0.argtypes = [c_double, c_int, c_int]
self.__psDLL.set_Load_P0.restype = c_bool
self.__psDLL.get_Load_Q0.argtypes = [c_int, c_int]
self.__psDLL.get_Load_Q0.restype = c_double
self.__psDLL.set_Load_Q0.argtypes = [c_double, c_int, c_int]
self.__psDLL.set_Load_Q0.restype = c_bool
self.__psDLL.get_Load_LF_Result.argtypes = [array_1d_double, c_int, c_int]
self.__psDLL.get_Load_LF_Result.restype = c_bool
self.__psDLL.get_Load_TS_Result_Dimension.argtypes = [c_int, c_int, c_bool]
self.__psDLL.get_Load_TS_Result_Dimension.restype = c_int
self.__psDLL.get_Load_TS_CurStep_Result.argtypes = [array_1d_double, c_int, c_int, c_bool]
self.__psDLL.get_Load_TS_CurStep_Result.restype = c_bool
self.__psDLL.get_Load_TS_All_Result.argtypes = [array_1d_double, c_int]
self.__psDLL.get_Load_TS_All_Result.restype = c_bool
# network
self.__psDLL.get_Network_N_Non_Zero_Element.argtypes = [c_int]
self.__psDLL.get_Network_N_Non_Zero_Element.restype = c_int
self.__psDLL.get_Network_N_Inverse_Non_Zero_Element.argtypes = [c_int]
self.__psDLL.get_Network_N_Inverse_Non_Zero_Element.restype = c_int
self.__psDLL.get_Network_N_ACSystem_Check_Connectivity.argtypes = [c_int]
self.__psDLL.get_Network_N_ACSystem_Check_Connectivity.restype = c_int
self.__psDLL.get_Network_Bus_Connectivity_Flag.argtypes = [c_int, c_int]
self.__psDLL.get_Network_Bus_Connectivity_Flag.restype = c_int
self.__psDLL.get_Network_ACLine_Connectivity.argtypes = [c_int, c_int]
self.__psDLL.get_Network_ACLine_Connectivity.restype = c_bool
self.__psDLL.set_Network_ACLine_Connectivity.argtypes = [c_bool, c_int, c_int]
self.__psDLL.set_Network_ACLine_Connectivity.restype = c_bool
self.__psDLL.get_Network_Transformer_Connectivity.argtypes = [c_int, c_int]
self.__psDLL.get_Network_Transformer_Connectivity.restype = c_bool
self.__psDLL.set_Network_Transformer_Connectivity.argtypes = [c_bool, c_int, c_int]
self.__psDLL.set_Network_Transformer_Connectivity.restype = c_bool
self.__psDLL.set_Network_Rebuild_All_Network_Data.argtypes = None
self.__psDLL.set_Network_Rebuild_All_Network_Data.restype = c_bool
self.__psDLL.get_Network_Generator_Connectivity.argtypes = [c_int, c_int]
self.__psDLL.get_Network_Generator_Connectivity.restype = c_bool
self.__psDLL.set_Network_Generator_Connectivity.argtypes = [c_bool, c_int, c_int]
self.__psDLL.set_Network_Generator_Connectivity.restype = c_bool
self.__psDLL.get_Network_Load_Connectivity.argtypes = [c_int, c_int]
self.__psDLL.get_Network_Load_Connectivity.restype = c_bool
self.__psDLL.set_Network_Load_Connectivity.argtypes = [c_bool, c_int, c_int]
self.__psDLL.set_Network_Load_Connectivity.restype = c_bool
self.__psDLL.get_Network_Admittance_Matrix_Full.argtypes = [array_1d_double, c_int]
self.__psDLL.get_Network_Admittance_Matrix_Full.restype = c_bool
self.__psDLL.get_Network_Impedence_Matrix_Full.argtypes = [array_1d_double, c_int]
self.__psDLL.get_Network_Impedence_Matrix_Full.restype = c_bool
self.__psDLL.get_Network_Impedence_Matrix_Factorized.argtypes = [array_1d_double, c_int]
self.__psDLL.get_Network_Impedence_Matrix_Factorized.restype = c_bool
# fault and disturbance
self.__psDLL.set_Fault_Disturbance_Clear_All.argtypes = None
self.__psDLL.set_Fault_Disturbance_Clear_All.restype = c_bool
self.__psDLL.set_Fault_Disturbance_Add_Fault.argtypes = [c_int, c_double, c_double, c_double, c_int, c_int, c_bool, c_int]
self.__psDLL.set_Fault_Disturbance_Add_Fault.restype = c_bool
self.__psDLL.set_Fault_Disturbance_Add_Disturbance.argtypes = [c_int, c_double, c_double, c_int, c_int, c_bool, c_int]
self.__psDLL.set_Fault_Disturbance_Add_Disturbance.restype = c_bool
def _load_configuration(self, cfg_path: str):
"""Load configuration file.
Args:
cfg_path (str): The directory of the config file.
"""
self.__config_path = cfg_path
cfg = open(cfg_path, "r")
for line in cfg.readlines():
# get the directory of the original data file.
if line[0:3].lower() == 'dir':
self.__fullFilePath = self.__workingDir + line[4:].strip()[1:]
(self.__absFilePath, temp_file_name) = os.path.split(self.__fullFilePath)
(self.__absFileName, extension) = os.path.splitext(temp_file_name)
print(self.__absFilePath, self.__absFileName, extension)
cfg.close()
def _basic_fun_test(self):
"""Basic function test before utilization.
"""
assert self.__psDLL.read_Settings(self.__config_path, len(self.__config_path)), 'read settings failure!'
assert self.__psDLL.cal_Functions(1), 'basic function check failure!'
def _get_basic_info(self):
"""Get basic information of the power system
"""
# total number of asynchronous ac systems
self.__nACSystem = self.__psDLL.get_ACSystem_Number()
# total number of buses
self.__nBus = self.__psDLL.get_Bus_Number(-1)
assert self.__nBus >= 0, 'system total bus number wrong, please check!'
# build an numpy array for all the bus names
self.__allBusName = list()
for bus_no in range(self.__nBus):
tmp = self.__psDLL.get_Bus_Name(bus_no, -1)
assert tmp is not None, "bus name is empty, please check bus no.!"
self.__allBusName.append(string_at(tmp, -1).decode('gbk'))
self.__allBusName = np.array(self.__allBusName)
# total number of aclines
self.__nACLine = self.__psDLL.get_ACLine_Number(-1)
assert self.__nACLine >= 0, 'system number wrong, please check!'
# total number of transformers
self.__nTransformer = self.__psDLL.get_Transformer_Number(-1)
assert self.__nTransformer >= 0, 'total number of transformer wrong, please check!'
# total number of generators
self.__nGenerator = self.__psDLL.get_Generator_Number(-1)
assert self.__nGenerator >= 0, 'total number of generator wrong, please check!'
# total number of loads
self.__nLoad = self.__psDLL.get_Load_Number(-1)
assert self.__nLoad >= 0, 'total number of load wrong, please check!'
# total number of non-zero elements in the factor table
self.__nNonzero = self.__psDLL.get_Network_N_Non_Zero_Element(-1)
assert self.__nNonzero >= 0, 'total number of non-zero element wrong, please check!'
# total number of non-zero elements in the inverse factor table
self.__nInverseNonZero = self.__psDLL.get_Network_N_Inverse_Non_Zero_Element(-1)
assert self.__nInverseNonZero >= 0, 'total number of inverse non-zeror wrong, please check!'
def _create_buffer(self):
"""Create buffers for loading data from PSOPS.
"""
self.__bufferSize = max(
self.__nBus * 6 * (self.get_info_ts_max_step() + 500), max(self.__nNonzero, self.__nInverseNonZero + 100) * 6)
self.__doubleBuffer = np.zeros(self.__bufferSize, np.float64)
self.__intBuffer = np.zeros(self.__bufferSize, np.int32)
self.__boolBuffer = np.zeros(self.__bufferSize, bool)
print("Buffer Created in Python.")
# run buffer tests
# self._buffer_tests()
def _get_initial_state(self):
"""Get initial state of the power system.
"""
# gen lf bus type
bus_type = self.get_generator_all_lf_bus_type()
self.__indexSlack = np.arange(self.__nGenerator, dtype=np.int32)[bus_type == 'slack']
self.__indexCtrlGen = np.arange(self.__nGenerator, dtype=np.int32)[bus_type != 'slack']
# gen v set
self.__generator_v_origin = self.get_generator_all_v_set()
# gen p set
self.__generator_p_origin = self.get_generator_all_p_set()
# load p set
self.__load_p_origin = self.get_load_all_p_set()
# load q set
self.__load_q_origin = self.get_load_all_q_set()
################################################################################################
# Power Flow
################################################################################################
def cal_power_flow_basic_nr(self):
"""Power flow: calculation using Newton-Raphson method.
Returns:
int: The number of iterations of the power flow solution.
"""
return self.__psDLL.cal_Power_Flow_Basic_Newton_Raphson()
def get_power_flow_bounds(self,
generator_v_list=None,
generator_p_list=None,
load_p_list=None,
load_q_list=None,
load_max=None,
load_min=None,
sys_no=-1):
"""power flow: get power flow bounds according to settings.
Args:
generator_v_list (list, optional): list of generators with controllable v. Defaults to None.
generator_p_list (list, optional): list of generators with controllable p. Defaults to None.
load_p_list (list, optional): list of loads with controllable p. Defaults to None.
load_q_list (list, optional): list of loads with controllable q. Defaults to None.
load_max (float, optional): the load upper bound settings. Defaults to None.
None means loading the default settings shown by self.__load_pq_bounds.
-1 means loading the current load settings.
Others mean loading the original load settings and multiply the given load_max.
load_min (float, optional): the load lower bound settings. Similar to load_max. Defaults to None.
sys_no (int, optional): asynchronous ac system No. to limit the output range. Defaults to -1, which means the whole network.
Returns:
list: [upper_bound, lower_bound]. The two bounds meet with np.array([vg, pg, pl, ql]).
"""
# gen v max&min
if generator_v_list is None: generator_v_list = np.arange(self.get_generator_number(sys_no))
gen_vmax = self.get_generator_all_vmax(generator_v_list, sys_no)
gen_vmin = self.get_generator_all_vmin(generator_v_list, sys_no)
# gen p max&min
if generator_p_list is None: generator_p_list = self.get_generator_all_ctrl(None, sys_no)
gen_pmax = self.get_generator_all_pmax(generator_p_list, sys_no)
gen_pmin = self.get_generator_all_pmin(generator_p_list, sys_no)
# gen p check
if np.all(gen_pmax == 0) and np.all(gen_pmin == 0):
if sys_no != -1:
for i in range(sys_no):
generator_p_list += self.get_bus_number(i)
gen_pmax = self.__generator_p_origin[generator_p_list] * self.__generator_p_bounds[1]
gen_pmin = self.__generator_p_origin[generator_p_list] * self.__generator_p_bounds[0]
# load bound
load_max = self.__load_pq_bounds[1] if load_max is None else load_max
load_min = self.__load_pq_bounds[0] if load_min is None else load_min
# load p max&min
if load_p_list is None: load_p_list = np.arange(self.get_load_number(sys_no))
if load_max == -1: load_pmax = self.get_load_all_p_set(load_p_list, sys_no)
if load_min == -1: load_pmin = self.get_load_all_p_set(load_p_list, sys_no)
if sys_no != -1:
for i in range(sys_no): load_p_list += self.get_bus_number(i)
if load_max != -1: load_pmax = self.__load_p_origin[load_p_list] * load_max
if load_min != -1: load_pmin = self.__load_p_origin[load_p_list] * load_min
# load q max&min
if load_q_list is None: load_q_list = np.arange(self.get_load_number(sys_no))
if load_max == -1: load_qmax = self.get_load_all_q_set(load_q_list, sys_no)
if load_min == -1: load_qmin = self.get_load_all_q_set(load_q_list, sys_no)
if sys_no != -1:
for i in range(sys_no): load_q_list += self.get_bus_number(i)
if load_max != -1: load_qmax = self.__load_q_origin[load_q_list] * load_max
if load_min != -1: load_qmin = self.__load_q_origin[load_q_list] * load_min
# concatenate bounds
lower = np.concatenate((gen_vmin, gen_pmin, load_pmin, load_qmin))
upper = np.concatenate((gen_vmax, gen_pmax, load_pmax, load_qmax))
idx = lower > upper
lower[idx], upper[idx] = upper[idx], lower[idx]
assert np.any(lower > upper) == False, "get lf bounds failed, please check!"
return [lower, upper]
def set_power_flow_initiation(self,
sample: np.ndarray,
generator_v_list=None,
generator_p_list=None,
load_p_list=None,
load_q_list=None,
sys_no=-1):
"""Power flow: set power flow initiation state.
Args:
sample (np.ndarray): the sample setting, np.array([vg, pg, pl, ql]).
generator_v_list (list, optional): list of generators with controllable v. Defaults to None.
generator_p_list (list, optional): list of generators with controllable p. Defaults to None.
load_p_list (list, optional): list of loads with controllable p. Defaults to None.
load_q_list (list, optional): list of loads with controllable q. Defaults to None.
sys_no (int, optional): asynchronous ac system No. to limit the output range. Defaults to -1, which means the whole network.
"""
sample_part = sample.copy()
# gen v set
if generator_v_list is None:
generator_v_list = np.arange(self.get_generator_number(sys_no))
self.set_generator_all_v_set(sample_part[:len(generator_v_list)], generator_v_list, sys_no)
sample_part = sample_part[len(generator_v_list):]
# gen p set
if generator_p_list is None:
generator_p_list = self.get_generator_all_ctrl(None, sys_no)
self.set_generator_all_p_set(sample_part[:len(generator_p_list)], generator_p_list, sys_no)
sample_part = sample_part[len(generator_p_list):]
# load p set
if load_p_list is None:
load_p_list = np.arange(self.get_load_number(sys_no))
self.set_load_all_p_set(sample_part[:len(load_p_list)], load_p_list, sys_no)
sample_part = sample_part[len(load_p_list):]
# load q set
if load_q_list is None:
load_q_list = np.arange(self.get_load_number(sys_no))
self.set_load_all_q_set(sample_part[:len(load_q_list)], load_q_list, sys_no)
def get_power_flow_original_status(self):
"""Power flow: get the original power flow state.
Returns:
ndarray float: the power flow settings are np.array([vg, pg, pl, ql]).
"""
return np.concatenate((self.__generator_v_origin, self.__generator_p_origin[self.__indexCtrlGen], self.__load_p_origin, self.__load_q_origin))
def set_power_flow_original_status(self):
"""Power flow: resume power flow to the original state.
"""
self.set_power_flow_initiation(self.get_power_flow_original_status())
def get_power_flow_status_check(self):
"""Power flow: get power flow state. [convergence, slack generation is bigger than 0, all the voltages are within acceptable range]
Returns:
list: power flow state, [convergence, slack, voltage].
"""
[converge, slack, voltage] = [False, False, False]
if self.cal_power_flow_basic_nr() > 0:
converge = True
slack_p = self.get_generator_all_lf_result(self.__indexSlack)[:, 0]
slack_p_max = self.get_generator_all_pmax(self.__indexSlack)
slack_p_min = self.get_generator_all_pmin(self.__indexSlack)
if np.all(slack_p >= slack_p_min) and np.all(slack_p <= slack_p_max): slack = True
lf_v = self.get_bus_all_lf_result()[:, 0]
if np.all(lf_v < self.get_bus_all_vmax()) and np.all(lf_v > self.get_bus_all_vmin()):
voltage = True
return [converge, slack, voltage]
# pf sampler, gen_v, ctrl_gen_p, load_p, load_q
def get_power_flow_sample_simple_random(
self,
num=1,
generator_v_list=None,
generator_p_list=None,
load_p_list=None,
load_q_list=None,
load_max=None,
load_min=None,
sys_no=-1,
check_converge=True,
check_slack=True,
check_voltage=True,
termination_num=None,
need_print=False
):
"""Power flow: get power flow samples using simple random sampling method.
Args:
num (int, optional): number of samples. Defaults to 1.
generator_v_list (list, optional): list of generators with controllable v. Defaults to None.
generator_p_list (list, optional): list of generators with controllable p. Defaults to None.
load_p_list (list, optional): list of loads with controllable p. Defaults to None.
load_q_list (list, optional): list of loads with controllable q. Defaults to None.
load_max (float, optional): the load upper bound settings. Defaults to None.
None means loading the default settings shown by self.__load_pq_bounds.
-1 means loading the current load settings.
Others mean loading the original load settings and multiply the given load_max.
load_min (float, optional): the load lower bound settings. Similar to load_max. Defaults to None.
sys_no (int, optional): asynchronous ac system No. to limit the output range. Defaults to -1, which means the whole network.
check_converge (bool, optional): flag shows whether checking convergence. Defaults to True.
check_slack (bool, optional): flag shows whether checking active power generation of slack generators. Defaults to True.
check_voltage (bool, optional): flag shows whether checking nodal voltages. Defaults to True.
termination_num (int, optional): if the number of samples is too much, the sampling process will terminate. Default to None.
need_print (bool, optional): flag shows whether the total number of sampled pf will be printed. Defaults to False.
Returns:
ndarray: power flow settings.
"""
[lower_bounds, upper_bounds] = self.get_power_flow_bounds(generator_v_list, generator_p_list, load_p_list, load_q_list, load_max, load_min, sys_no)
bound_size = len(lower_bounds)
sample_buffer = list()
iter_buffer = list()
sample_total = 0
sample_no = 0
for _ in range(num):
[converge, valid_slack, valid_v] = [False, False, False]
while (False in [converge, valid_slack, valid_v]):
r_vector = self.__rng.random(bound_size)
cur_status = lower_bounds + (upper_bounds - lower_bounds) * r_vector
sample_total += 1
self.set_power_flow_initiation(cur_status, generator_v_list, generator_p_list, load_p_list, load_q_list)
# total_load = sum(self.get_load_all_p_set())
# total_slack = sum(self.get_generator_all_pmax(self.__indexSlack))
# total_ctrl = sum(self.get_generator_all_p_set(self.__indexCtrlGen))
# if total_load < total_ctrl or total_load > total_ctrl + total_slack:
# continue
[converge, valid_slack, valid_v] = self.get_power_flow_status_check()
[converge, valid_slack, valid_v] = [x or y for x, y in zip([converge, valid_slack, valid_v], [not check_converge, not check_slack, not check_voltage])]
iter_buffer.append(self.get_info_lf_iter())
if False not in [converge, valid_slack, valid_v]:
break
if termination_num is not None and sample_total >= termination_num: break
if termination_num is not None and sample_total >= termination_num: break
sample_buffer.append(cur_status)
sample_no += 1
if need_print: print(f'total sample: {sample_total}, valid sample: {sample_no}')
return sample_buffer
# pf sampler, gen_v, ctrl_gen_p, load_p, load_q
def get_power_flow_sample_lhb(
self,
num=1,
generator_v_list=None,
generator_p_list=None,
load_p_list=None,
load_q_list=None,
load_max=None,
load_min=None,
sys_no=-1,
check_converge=True,
check_slack=True,
check_voltage=True,
seed=None,
termination_num=None,
need_print=False
):
"""Power flow: get power flow samples using the latin hypercube method.
Args:
num (int, optional): number of samples. Defaults to 1.
generator_v_list (list, optional): list of generators with controllable v. Defaults to None.
generator_p_list (list, optional): list of generators with controllable p. Defaults to None.
load_p_list (list, optional): list of loads with controllable p. Defaults to None.
load_q_list (list, optional): list of loads with controllable q. Defaults to None.
load_max (float, optional): the load upper bound settings. Defaults to None.
None means loading the default settings shown by self.__load_pq_bounds.
-1 means loading the current load settings.
Others mean loading the original load settings and multiply the given load_max.
load_min (float, optional): the load lower bound settings. Similar to load_max. Defaults to None.
sys_no (int, optional): asynchronous ac system No. to limit the output range. Defaults to -1, which means the whole network.
check_converge (bool, optional): flag shows whether checking convergence. Defaults to True.
check_slack (bool, optional): flag shows whether checking active power generation of slack generators. Defaults to True.
check_voltage (bool, optional): flag shows whether checking nodal voltages. Defaults to True.
seed (int/rng, optional): seed of lhb sampler, int or rng.
termination_num (int, optional): if the number of samples is too much, the sampling process will terminate. Default to None.
need_print (bool, optional): flag shows whether the total number of sampled pf will be printed. Defaults to False.
Returns:
ndarray: power flow settings.
"""
[lower_bounds, upper_bounds] = self.get_power_flow_bounds(generator_v_list, generator_p_list, load_p_list, load_q_list, load_max, load_min, sys_no)
sample_buffer = list()
iter_buffer = list()
if seed is None: lhb_sampler = qmc.LatinHypercube(d=lower_bounds.shape[0])
else: lhb_sampler = qmc.LatinHypercube(d=lower_bounds.shape[0], seed=seed)
n_valid_sample = 0
sample_total = 0
while (n_valid_sample < num):
norm_sample = lhb_sampler.random(n=num)
norm_sample = qmc.scale(norm_sample, lower_bounds, upper_bounds)
for cur_status in norm_sample:
# cur_status = lower_bounds + (upper_bounds - lower_bounds) * r_vector
sample_total += 1
self.set_power_flow_initiation(cur_status, generator_v_list, generator_p_list, load_p_list, load_q_list)
[converge, valid_slack, valid_v] = self.get_power_flow_status_check()
[converge, valid_slack, valid_v] = [x or y for x, y in zip([converge, valid_slack, valid_v], [not check_converge, not check_slack, not check_voltage])]
iter_buffer.append(self.get_info_lf_iter())
if False not in [converge, valid_slack, valid_v]:
n_valid_sample += 1
sample_buffer.append(cur_status)
if n_valid_sample >= num:
break
if termination_num is not None and sample_total >= termination_num: break
if termination_num is not None and sample_total >= termination_num: break
if need_print: print(f'total sample: {sample_total}, valid sample: {n_valid_sample}')
return sample_buffer
def get_power_flow_sample_stepwise(
self,
num=1,
generator_v_list=None,
generator_p_list=None,
load_p_list=None,
load_q_list=None,
load_max=None,
load_min=None,
sys_no=-1,
check_converge=True,
check_slack=True,
check_voltage=True,
termination_num=None,
need_print=False
):
"""Power flow: get power flow samples using stepwise sampling method.
1. sampling load p.
2. sampling generator p. 5 times.
3. sampling load q. 5 times.
4. sampling voltages. 5 times.
Args:
num (int, optional): number of samples. Defaults to 1.
generator_v_list (list, optional): list of generators with controllable v. Defaults to None.
generator_p_list (list, optional): list of generators with controllable p. Defaults to None.
load_p_list (list, optional): list of loads with controllable p. Defaults to None.
load_q_list (list, optional): list of loads with controllable q. Defaults to None.
load_max (float, optional): the load upper bound settings. Defaults to None.
None means loading the default settings shown by self.__load_pq_bounds.
-1 means loading the current load settings.
Others mean loading the original load settings and multiply the given load_max.
load_min (float, optional): the load lower bound settings. Similar to load_max. Defaults to None.
sys_no (int, optional): asynchronous ac system No. to limit the output range. Defaults to -1, which means the whole network.
check_converge (bool, optional): flag shows whether checking convergence. Defaults to True.
check_slack (bool, optional): flag shows whether checking active power generation of slack generators. Defaults to True.
check_voltage (bool, optional): flag shows whether checking nodal voltages. Defaults to True.
termination_num (int, optional): if the number of samples is too much, the sampling process will terminate. Default to None.
need_print (bool, optional): flag shows whether the total number of sampled pf will be printed. Defaults to False.
Returns:
ndarray: power flow settings.
"""
if generator_v_list is None: generator_v_list = np.arange(self.get_generator_number(sys_no))
if generator_p_list is None: generator_p_list = self.get_generator_all_ctrl(None, sys_no)
if load_p_list is None: load_p_list = np.arange(self.get_load_number(sys_no))
if load_q_list is None: load_q_list = np.arange(self.get_load_number(sys_no))
[lower_bounds, upper_bounds] = self.get_power_flow_bounds(generator_v_list, generator_p_list, load_p_list, load_q_list, load_max, load_min, sys_no)
gen_vmax = upper_bounds[:len(generator_v_list)]
gen_vmin = lower_bounds[:len(generator_v_list)]
gen_pmax = upper_bounds[len(generator_v_list):len(generator_v_list)+len(generator_p_list)]
gen_pmin = lower_bounds[len(generator_v_list):len(generator_v_list)+len(generator_p_list)]
slack_pmax = self.get_generator_all_pmax(self.__indexSlack)
slack_pmin = self.get_generator_all_pmin(self.__indexSlack)
load_pmax = upper_bounds[len(generator_v_list)+len(generator_p_list):len(generator_v_list)+len(generator_p_list)+len(load_p_list)]
load_pmin = lower_bounds[len(generator_v_list)+len(generator_p_list):len(generator_v_list)+len(generator_p_list)+len(load_p_list)]
load_qmax = upper_bounds[-len(load_q_list):]
load_qmin = lower_bounds[-len(load_q_list):]
sample_buffer = list()
sample_total = 0
gen_v = self.get_generator_all_v_set(generator_v_list, sys_no)
gen_p = np.zeros(len(generator_p_list))
sample_no = 0
while sample_no < num:
# load p max&min
load_psum = -1.0
while load_psum < (sum(gen_pmin) + sum(slack_pmin)) or load_psum > (sum(gen_pmax) + sum(slack_pmax)):
load_p = load_pmin + (load_pmax - load_pmin) * self.__rng.random(len(load_pmax))
load_psum = sum(load_p)
# slack p
load_psum = sum(load_p)
s_pmin = max(load_psum - sum(gen_pmax), sum(slack_pmin))
s_pmax = min(load_psum - sum(gen_pmin), sum(slack_pmax))
s_pmin = s_pmin + (s_pmax - s_pmin) * self.__rng.random()
s_pmax = s_pmin + (s_pmax - s_pmin) * self.__rng.random()
# print('slack', s_pmin, s_pmax)
# gen p
for _ in range(5):
gen_p.fill(0.)
gen_order = self.__rng.choice(np.arange(len(gen_p)), len(generator_p_list), replace=False)
load_psum = sum(load_p)
# random slack
for i in range(len(gen_p)):
gen_no = gen_order[i]
remain_gen = gen_order[i+1:] if i+1 < len(gen_p) else []
pmin = max(load_psum - sum(gen_pmax[remain_gen]) - s_pmax, gen_pmin[gen_no])
pmax = min(load_psum - sum(gen_pmin[remain_gen]) - s_pmin, gen_pmax[gen_no])
# print('generator', gen_no, [pmin, pmax])
gen_p[gen_no] = pmin + (pmax - pmin) * self.__rng.random()
load_psum -= gen_p[gen_no]
# print('remaining', load_psum)
# load q
for _ in range(5):
load_q = load_qmin + (load_qmax - load_qmin) * self.__rng.random(len(load_qmax))
# gen v
for _ in range(5):
gen_v = gen_vmin + (gen_vmax - gen_vmin) * self.__rng.random(len(gen_vmax))
cur_status = np.concatenate([gen_v, gen_p, load_p, load_q])
self.set_power_flow_initiation(cur_status)
[converge, valid_slack, valid_v] = self.get_power_flow_status_check()
sample_total += 1
[converge, valid_slack, valid_v] = [x or y for x, y in zip([converge, valid_slack, valid_v], [not check_converge, not check_slack, not check_voltage])]
if False not in [converge, valid_slack, valid_v]: break
if termination_num is not None and sample_total > termination_num: break
if False not in [converge, valid_slack, valid_v]: break
if termination_num is not None and sample_total > termination_num: break
if False not in [converge, valid_slack, valid_v]: break
if termination_num is not None and sample_total > termination_num: break
if False not in [converge, valid_slack, valid_v]:
sample_no += 1
sample_buffer.append(cur_status)
if termination_num is not None and sample_total > termination_num: break
if need_print: tqdm.write(f'total sample: {sample_total}, valid sample: {sample_no}')
return sample_buffer
def get_power_flow_time_sequence(self,
num=1,
upper_range=5,
generator_v_list=None,
generator_p_list=None,
load_p_list=None,
load_q_list=None,
load_max=None,
load_min=None,
sys_no=-1,
check_converge=True,
check_slack=True,
check_voltage=True):
"""Power flow: get power flow time series samples.
Args:
num (int, optional): number of samples. Defaults to 1.
upper_range (int, optional): Upper limit of the change rate between each time step. Defaults to 5.
generator_v_list (list, optional): list of generators with controllable v. Defaults to None.
generator_p_list (list, optional): list of generators with controllable p. Defaults to None.
load_p_list (list, optional): list of loads with controllable p. Defaults to None.
load_q_list (list, optional): list of loads with controllable q. Defaults to None.
load_max (float, optional): the load upper bound settings. Defaults to None.
None means loading the default settings shown by self.__load_pq_bounds.
-1 means loading the current load settings.
Others mean loading the original load settings and multiply the given load_max.
load_min (float, optional): the load lower bound settings. Similar to load_max. Defaults to None.
sys_no (int, optional): asynchronous ac system No. to limit the output range. Defaults to -1, which means the whole network.
check_converge (bool, optional): flag shows whether checking convergence. Defaults to True.
check_slack (bool, optional): flag shows whether checking active power generation of slack generators. Defaults to True.
check_voltage (bool, optional): flag shows whether checking nodal voltages. Defaults to True.
Returns:
ndarray: power flow settings.
"""
[lower_bounds, upper_bounds] = self.get_power_flow_bounds(generator_v_list, generator_p_list, load_p_list, load_q_list, load_max, load_min, sys_no)
vary_range = (upper_bounds - lower_bounds) * upper_range / 100
bound_size = len(lower_bounds)
sample_buffer = list()
iter_buffer = list()
r_vector = self.__rng.random(bound_size)
[converge, valid_slack, valid_v] = [False, False, False]
while (False in [converge, valid_slack, valid_v]):
r_vector = self.__rng.random(bound_size)
tmp_status = lower_bounds + (upper_bounds - lower_bounds) * r_vector
self.set_power_flow_initiation(tmp_status, generator_v_list, generator_p_list, load_p_list, load_q_list)
[converge, valid_slack, valid_v] = self.get_power_flow_status_check()
[converge, valid_slack, valid_v] = [x or y for x, y in zip([converge, valid_slack, valid_v], [not check_converge, not check_slack, not check_voltage])]
iter_buffer.append(self.get_info_lf_iter())
if False not in [converge, valid_slack, valid_v]:
break
pf_result = self.get_bus_all_lf_result()[:, 0]
sample_buffer.append(pf_result)
cur_status = tmp_status.copy()
sample_total = 1
for _ in range(num):
[converge, valid_slack, valid_v] = [False, False, False]
while (False in [converge, valid_slack, valid_v]):
r_vector = self.__rng.random(bound_size) - 0.5
tmp_status = cur_status + vary_range * r_vector
self.set_power_flow_initiation(tmp_status, generator_v_list, generator_p_list, load_p_list, load_q_list)
[converge, valid_slack, valid_v] = self.get_power_flow_status_check()
[converge, valid_slack, valid_v] = [x or y for x, y in zip([converge, valid_slack, valid_v], [not check_converge, not check_slack, not check_voltage])]
iter_buffer.append(self.get_info_lf_iter())
if False not in [converge, valid_slack, valid_v]:
break
cur_status = tmp_status.copy()
pf_result = self.get_bus_all_lf_result()[:, 0]
sample_buffer.append(pf_result)
sample_total += 1
if sample_total >= num: break
print(f'total sample: {sample_total}')
return sample_buffer
# def get
def get_pf_sample_all(self, num=1, generator_v_list=None, generator_p_list=None, load_p_list=None, load_q_list=None, load_max=None, load_min=None, sys_no=-1):
"""Power flow: power Flow Sampler, return initial state and convergence iteration number.
Args:
num (int, optional): Number of samples. Defaults to 1.
generator_v_list (list, optional): list of generators with controllable v. Defaults to None.
generator_p_list (list, optional): list of generators with controllable p. Defaults to None.
load_p_list (list, optional): list of loads with controllable p. Defaults to None.
load_q_list (list, optional): list of loads with controllable q. Defaults to None.
load_max (float, optional): the load upper bound settings. Defaults to None.
None means loading the default settings shown by self.__load_pq_bounds.
-1 means loading the current load settings.
Others mean loading the original load settings and multiply the given load_max.
load_min (float, optional): the load lower bound settings. Similar to load_max. Defaults to None.
sys_no (int, optional): asynchronous ac system No. to limit the output range. Defaults to -1, which means the whole network.
Returns:
list, list: sample list and iteration list (-1 for unconvergence)
"""
[lower_bounds, upper_bounds] = self.get_power_flow_bounds(generator_v_list, generator_p_list, load_p_list, load_q_list, load_max, load_min, sys_no)
bound_size = len(lower_bounds)
sample_buffer = list()
iter_buffer = list()
for _ in range(num):
r_vector = self.__rng.random(bound_size)
cur_status = lower_bounds + (upper_bounds - lower_bounds) * r_vector
# sample_buffer.append(cur_status)
sample_buffer.append([cur_status, np.concatenate([cur_status[:10], r_vector[10:]])])
self.set_power_flow_initiation(cur_status, generator_v_list, generator_p_list, load_p_list, load_q_list)
iter_buffer.append(self.cal_power_flow_basic_nr())
return sample_buffer, iter_buffer
################################################################################################
# Transient Stability
################################################################################################
def cal_transient_stability_simulation_ti_sv(
self,
start_time=0.0,
contingency_no=0
):
"""Transient stability simulation using the implicit trapezoidal method and sparse vector method.
Args:
start_time (float, optional): The starting time of the simulation. Defaults to 0.0.
contingency_no (int, optional): Contingency No. that determines which contingency needs simulation. See the config files for more information. Defaults to 0.
Returns:
int: The finish step of the simulation. Mostly, the maximum simulation step will be returned.
For example, the maximum simulation duration is 10 seconds and the integration step is 0.01, i.e., the maximum simulation step is 1000.
Considering the starting step at instant t=0.00, the total number of simulation steps is 1000 + 1 = 1001.
"""
return self.__psDLL.cal_Transient_Stability_Simulation_TI_SV(start_time, contingency_no)
# TODO api for other integration method and sparse vector method.
def get_transient_stability_check_stability(
self,
maximum_delta=180.,
vol_length=100,
maximum_freq=51,
minimum_freq=49.
):
"""Transient stability: check stability of the simulation.
Args:
maximum_delta (float, optional): the acceptable maximum rotor angle. Defaults to 180.
vol_length (int, optional): the acceptable maximum length that voltage is lower that 0.7. Defaults to 100.
maximum_freq (float, optional): the acceptable maximum frequency. Defaults to 51.
minimum_freq (float, optional): the acceptable minimum frequency. Defaults to 49.
Returns:
label: stability label shows whether the simulation is stable. 0(stable), 1(rotor), 2(voltage), 3(frequency)
"""
fin_step = self.get_info_ts_finish_step()
std_result = self.get_acsystem_all_ts_result()[0]
if np.any(std_result != std_result): return -1
delta_diff = std_result[:fin_step, 1]
min_vol = std_result[:fin_step, 4]
min_freq = std_result[:fin_step, 2]
max_freq = std_result[:fin_step, 3]
label = 0
vol_count = 0
for step in range(fin_step):