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Lib_BW.py
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Lib_BW.py
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# --------------------------------------------
# EMT solver library
# 2020-2024 Bin Wang, Min Xiong
# Last modified: 08/15/2024
# --------------------------------------------
## xlrd v1.2.0 is used to support xlsx format
import math, sys
import xlrd
import numpy as np
import scipy.sparse as sp
import scipy.sparse.linalg as la
from functools import reduce
import pickle
import pandas as pd
from lib_numba import *
from partitionutil import form_bbd
from serial_bbd_matrix import schur_bbd_lu
alpha = np.exp(1j*2*np.pi/3)
Ainv = np.asarray([[1,1,1],[1,alpha*alpha,alpha],[1,alpha,alpha*alpha]])/3.0
# ---------------------------------------------------------------------------
# power flow data class
class PFData():
@staticmethod
def load_from_json(storage):
my_pfd = PFData()
for k in my_pfd.__dict__.keys():
setattr(my_pfd, k, getattr(storage, k))
return my_pfd
def __init__(self):
# system data
self.basemva = []
self.ws = []
# bus data
self.bus_num = np.asarray([])
self.bus_type = np.asarray([])
self.bus_Vm = np.asarray([])
self.bus_Va = np.asarray([])
self.bus_kV = np.asarray([])
self.bus_basekV = np.asarray([])
self.bus_name = np.asarray([])
# load data
self.load_id = np.asarray([])
self.load_bus = np.asarray([])
self.load_Z = np.asarray([])
self.load_I = np.asarray([])
self.load_P = np.asarray([])
self.load_MW = np.asarray([])
self.load_Mvar = np.asarray([])
# IBR data
self.ibr_bus = np.asarray([])
self.ibr_id = np.asarray([])
self.ibr_MW = np.asarray([])
self.ibr_Mvar = np.asarray([])
self.ibr_MVA_base = np.asarray([])
# generator data
self.gen_id = np.asarray([])
self.gen_bus = np.asarray([])
self.gen_S = np.asarray([])
self.gen_mod = np.asarray([])
self.gen_MW = np.asarray([])
self.gen_Mvar = np.asarray([])
self.gen_MVA_base = np.asarray([])
# line data
self.line_from = np.asarray([])
self.line_to = np.asarray([])
self.line_id = np.asarray([])
self.line_P = np.asarray([])
self.line_Q = np.asarray([])
self.line_RX = np.asarray([])
self.line_chg = np.asarray([])
# xfmr data
self.xfmr_from = np.asarray([])
self.xfmr_to = np.asarray([])
self.xfmr_id = np.asarray([])
self.xfmr_P = np.asarray([])
self.xfmr_Q = np.asarray([])
self.xfmr_RX = np.asarray([])
self.xfmr_k = np.asarray([])
# shunt data
self.shnt_bus = np.asarray([])
self.shnt_id = np.asarray([])
self.shnt_gb = np.asarray([])
# switched shunt data
self.shnt_sw_bus = np.asarray([])
self.shnt_sw_gb = np.asarray([])
def getdata(self, psspy):
# system data
self.basemva = psspy.sysmva()
self.ws = 2 * math.pi * 60
# bus data
self.bus_num = np.asarray(psspy.abusint(-1, 2, 'NUMBER')[1][0])
self.bus_type = np.asarray(psspy.abusint(-1, 2, 'TYPE')[1][0])
self.bus_Vm = np.asarray(psspy.abusreal(-1, 2, 'PU')[1][0])
self.bus_Va = np.asarray(psspy.abusreal(-1, 2, 'ANGLED')[1][0])
self.bus_kV = np.asarray(psspy.abusreal(-1, 2, 'KV')[1][0])
self.bus_basekV = np.asarray(psspy.abusreal(-1, 2, 'BASE')[1][0])
self.bus_name = psspy.abuschar(-1, 1, 'NAME')[1][0]
# load data
self.load_id = psspy.aloadchar(-1, 1, 'ID')[1][0]
self.load_bus = np.asarray(psspy.aloadint(-1, 1, 'NUMBER')[1][0])
self.load_Z = np.asarray(psspy.aloadcplx(-1, 1, 'YLACT')[1][0])
self.load_I = np.asarray(psspy.aloadcplx(-1, 1, 'ILACT')[1][0])
self.load_P = np.asarray(psspy.aloadcplx(-1, 1, 'MVAACT')[1][0])
self.load_MW = self.load_Z.real + self.load_I.real + self.load_P.real
self.load_Mvar = self.load_Z.imag + self.load_I.imag + self.load_P.imag
# IBR data
self.ibr_bus = np.asarray([])
self.ibr_id = np.asarray([])
self.ibr_MW = np.asarray([])
self.ibr_Mvar = np.asarray([])
# generator data
self.gen_id = psspy.amachchar(-1, 4, 'ID')[1][0].rstrip()
self.gen_bus = np.asarray(psspy.amachint(-1, 4, 'NUMBER')[1][0])
self.gen_S = np.asarray(psspy.amachcplx(-1, 4, 'PQGEN')[1][0])
self.gen_mod = np.asarray(psspy.amachint(-1, 4, 'WMOD')[1][0])
self.gen_MW = np.round((self.gen_S.real) * 10000) / 10000
self.gen_Mvar = np.round((self.gen_S.imag) * 10000) / 10000
self.gen_MVA_base = np.asarray(psspy.amachreal(-1, 4, 'MBASE')[1][0])
self.gen_status = np.asarray(psspy.amachint(-1, 4, 'STATUS')[1][0])
gen_off = []
for i in range(len(self.gen_id)):
if self.gen_status[i] == 0:
gen_off.append(i)
self.gen_id = np.delete(self.gen_id, [gen_off])
self.gen_bus = np.delete(self.gen_bus, [gen_off])
self.gen_MVA_base = np.delete(self.gen_MVA_base, [gen_off])
self.gen_S = np.delete(self.gen_S, [gen_off])
self.gen_mod = np.delete(self.gen_mod, [gen_off])
self.gen_MW = np.delete(self.gen_MW, [gen_off])
self.gen_Mvar = np.delete(self.gen_Mvar, [gen_off])
self.gen_status = np.delete(self.gen_status, [gen_off])
ibr_idx = np.where((self.gen_mod == 1) | (self.gen_mod == 3))
for i in range(len(ibr_idx[0])):
last_found = ibr_idx[0][len(ibr_idx[0]) - i - 1]
self.ibr_bus = np.append(self.ibr_bus, self.gen_bus[last_found])
self.ibr_id = np.append(self.ibr_id, self.gen_id[last_found])
self.ibr_MW = np.append(self.ibr_MW, self.gen_MW[last_found])
self.ibr_Mvar = np.append(self.ibr_Mvar, self.gen_Mvar[last_found])
self.ibr_MVA_base = np.append(self.ibr_MVA_base, self.gen_MVA_base[last_found])
self.gen_id = np.delete(self.gen_id, [last_found])
self.gen_bus = np.delete(self.gen_bus, [last_found])
self.gen_MVA_base = np.delete(self.gen_MVA_base, [last_found])
self.gen_S = np.delete(self.gen_S, [last_found])
self.gen_mod = np.delete(self.gen_mod, [last_found])
self.gen_MW = np.delete(self.gen_MW, [last_found])
self.gen_Mvar = np.delete(self.gen_Mvar, [last_found])
self.ibr_bus = np.flipud(self.ibr_bus)
self.ibr_id = np.flipud(self.ibr_id)
self.ibr_MW = np.flipud(self.ibr_MW)
self.ibr_Mvar = np.flipud(self.ibr_Mvar)
self.ibr_MVA_base = np.flipud(self.ibr_MVA_base)
# line data
self.line_from = np.asarray(psspy.abrnint(-1, 1, 1, 1, 1, ['FROMNUMBER'])[1][0])
self.line_to = np.asarray(psspy.abrnint(-1, 1, 1, 1, 1, ['TONUMBER'])[1][0])
self.line_id = psspy.abrnchar(-1, 0, 0, 1, 1, ['ID'])[1][0]
self.line_P = np.asarray(psspy.abrnreal(-1, 1, 1, 1, 1, ['P'])[1][0])
self.line_Q = np.asarray(psspy.abrnreal(-1, 1, 1, 1, 1, ['Q'])[1][0])
self.line_RX = np.asarray(psspy.abrncplx(-1, 1, 1, 1, 1, ['RX'])[1][0])
self.line_chg = np.asarray(psspy.abrnreal(-1, 1, 1, 1, 1, ['CHARGING'])[1][0])
# xfmr data
self.xfmr_from = np.asarray(psspy.atrnint(-1, 1, 1, 1, 1, ['FROMNUMBER'])[1][0])
self.xfmr_to = np.asarray(psspy.atrnint(-1, 1, 1, 1, 1, ['TONUMBER'])[1][0])
self.xfmr_id = psspy.atrnchar(-1, 0, 0, 1, 1, ['ID'])[1][0]
self.xfmr_P = np.asarray(psspy.atrnreal(-1, 1, 1, 1, 1, ['P'])[1][0])
self.xfmr_Q = np.asarray(psspy.atrnreal(-1, 1, 1, 1, 1, ['Q'])[1][0])
self.xfmr_RX = np.asarray(psspy.atrncplx(-1, 1, 1, 1, 1, ['RXACT'])[1][0])
self.xfmr_k = np.asarray(psspy.atrnreal(-1, 1, 1, 1, 1, ['RATIO'])[1][0])
# shunt data
self.shnt_bus = np.asarray(psspy.afxshuntint(-1, 1, 'NUMBER')[1][0])
self.shnt_id = psspy.afxshuntchar(-1, 1, 'ID')[1][0]
self.shnt_gb = np.asarray(psspy.afxshuntcplx(-1, 1, ['SHUNTNOM'])[1][0])
# switched shunt data
self.shnt_sw_bus = np.asarray(psspy.aswshint(-1, 1, 'NUMBER')[1][0])
self.shnt_sw_gb = np.asarray(psspy.aswshcplx(-1, 1, ['YSWACT'])[1][0])
def LargeSysGenerator(self, ItfcBus, r, c):
if r * c == 1:
pfd = self
return pfd
upb = ItfcBus[0]
rtb = ItfcBus[1]
dnb = ItfcBus[2]
lfb = ItfcBus[3]
# initialization
pfd = PFData()
# duplication
pfd.basemva = self.basemva
pfd.ws = self.ws
for i in range(r):
for j in range(c):
k = c * i + (j + 1)
# bus
pfd.bus_Va.extend(self.bus_Va)
pfd.bus_Vm.extend(self.bus_Vm)
pfd.bus_basekV.extend(self.bus_basekV)
pfd.bus_kV.extend(self.bus_kV)
# bus name is skipped
pfd.bus_num.extend(self.bus_num + len(self.bus_num) * (k - 1))
pfd.bus_type.extend(self.bus_type) # slack in other blocks to be modified
# load
if len(self.load_bus) > 0:
pfd.load_I.extend(self.load_I)
pfd.load_MW.extend(self.load_MW)
pfd.load_Mvar.extend(self.load_Mvar)
pfd.load_P.extend(self.load_P)
pfd.load_Z.extend(self.load_Z)
pfd.load_bus.extend(self.load_bus + len(self.bus_num) * (k - 1))
pfd.load_id.extend(self.load_id)
# shunt
if len(self.shnt_bus) > 0:
pfd.shnt_gb.extend(self.shnt_gb)
pfd.shnt_bus.extend(self.shnt_bus + len(self.bus_num) * (k - 1))
pfd.shnt_id.extend(self.shnt_id)
# generator
pfd.gen_MVA_base.extend(self.gen_MVA_base)
pfd.gen_MW.extend(self.gen_MW)
pfd.gen_Mvar.extend(self.gen_Mvar)
pfd.gen_S.extend(self.gen_S)
pfd.gen_bus.extend(self.gen_bus + len(self.bus_num) * (k - 1))
pfd.gen_id.extend(self.gen_id)
pfd.gen_mod.extend(self.gen_mod)
# line
if len(self.line_from) > 0:
pfd.line_P.extend(self.line_P)
pfd.line_Q.extend(self.line_Q)
pfd.line_RX.extend(self.line_RX)
pfd.line_chg.extend(self.line_chg)
pfd.line_from.extend(self.line_from + len(self.bus_num) * (k - 1))
pfd.line_id.extend(self.line_id)
pfd.line_to.extend(self.line_to + len(self.bus_num) * (k - 1))
# transformer
if len(self.xfmr_from) > 0:
pfd.xfmr_P.extend(self.xfmr_P)
pfd.xfmr_Q.extend(self.xfmr_Q)
pfd.xfmr_RX.extend(self.xfmr_RX)
pfd.xfmr_from.extend(self.xfmr_from + len(self.bus_num) * (k - 1))
pfd.xfmr_id.extend(self.xfmr_id)
pfd.xfmr_k.extend(self.xfmr_k)
pfd.xfmr_to.extend(self.xfmr_to + len(self.bus_num) * (k - 1))
idx = pfd.bus_type.index(3)
flag = 1
while flag == 1:
try:
idx = pfd.bus_type.index(3, idx + 1)
except ValueError:
flag = 0
else:
pfd.bus_type[idx] = int(2)
# interconnection by adding new lines/transformers
# list out all required branches
branch_to_add = np.zeros([2 * r * c - r - c, 2], dtype=int)
nn = 0
for i in range(r):
for j in range(c):
k = c * i + (j + 1)
if j != c - 1:
kr = k + 1
branch_to_add[nn][0] = (k - 1) * len(self.bus_num) + rtb
branch_to_add[nn][1] = (kr - 1) * len(self.bus_num) + lfb
nn = nn + 1
if i != r - 1:
kd = k + c
branch_to_add[nn][0] = (k - 1) * len(self.bus_num) + dnb
branch_to_add[nn][1] = (kd - 1) * len(self.bus_num) + upb
nn = nn + 1
# adding lines
LinePmax = 100 # set a flow limit, since do not want to see large flow in interconncetion lines
for i in range(len(branch_to_add)):
FromB = branch_to_add[i][0]
ToB = branch_to_add[i][1]
FromB_G = []
ToB_G = []
if FromB in pfd.gen_bus:
FromB_G = pfd.gen_bus.index(FromB)
PG_From = pfd.gen_MW[FromB_G]
else:
print('Error: Interfacing bus should be generator bus.\n')
if ToB in pfd.gen_bus:
ToB_G = pfd.gen_bus.index(ToB)
PG_To = pfd.gen_MW[ToB_G]
else:
print('Error: Interfacing bus should be generator bus.\n')
tempP = min(PG_From / 3, PG_To / 3, LinePmax) / pfd.basemva
tempX = pfd.bus_Vm[FromB - 1] * pfd.bus_Vm[ToB - 1] * math.sin(
abs(pfd.bus_Va[FromB - 1] - pfd.bus_Va[ToB - 1])) / tempP
if abs(tempX) < 1e-5:
tempX = 0.05
chg = 1e-5
# add the branch
if abs(pfd.bus_basekV[FromB - 1] - pfd.bus_basekV[
ToB - 1]) < 1e-5: # kV level is the same, this is a line
tempr = tempX / 10.0
pfd.line_P.append(0.0)
pfd.line_Q.append(0.0)
pfd.line_RX.append(complex(tempr, tempX))
pfd.line_chg.append(chg)
pfd.line_from.append(min(FromB, ToB))
pfd.line_id.append('1')
pfd.line_to.append(max(FromB, ToB))
else: # this is a transformer
tempr = tempX / 100.0
if pfd.bus_basekV[FromB - 1] > pfd.bus_basekV[ToB - 1]:
pfd.xfmr_from.append(FromB)
pfd.xfmr_to.append(ToB)
else:
pfd.xfmr_from.append(ToB)
pfd.xfmr_to.append(FromB)
pfd.xfmr_id.append('1')
pfd.xfmr_P.append(0.0)
pfd.xfmr_Q.append(0.0)
pfd.xfmr_RX.append(complex(tempr, tempX))
pfd.xfmr_k.append(1.0)
# actual line flow
Vf = complex(pfd.bus_Vm[FromB - 1] * math.cos(pfd.bus_Va[FromB - 1]),
pfd.bus_Vm[FromB - 1] * math.sin(pfd.bus_Va[FromB - 1]))
Vt = complex(pfd.bus_Vm[ToB - 1] * math.cos(pfd.bus_Va[ToB - 1]),
pfd.bus_Vm[ToB - 1] * math.sin(pfd.bus_Va[ToB - 1]))
tempI = (Vf - Vt) / complex(tempr, tempX)
tempS_From = Vf * np.conjugate(tempI)
tempS_To = Vt * np.conjugate(-tempI)
# adjust from side
# adjust MW
if np.real(tempS_From) > 0: # need to add generation
pfd.gen_MW[FromB_G] = pfd.gen_MW[FromB_G] + np.real(
tempS_From) * pfd.basemva # not run into during testing
elif np.real(tempS_From) < 0: # need to add load
if FromB in pfd.load_bus: # there is an existing load
idx = pfd.load_bus.index(FromB)
pfd.load_MW[idx] = pfd.load_MW[idx] - np.real(tempS_From) * pfd.basemva
pfd.load_P[idx] = pfd.load_P[idx] - complex(np.real(tempS_From) * pfd.basemva, 0.0)
else: # no existing load, need to add one
pfd.load_bus.append(FromB)
pfd.load_id.append('1')
pfd.load_P.append(complex(-np.real(tempS_From) * pfd.basemva, 0.0))
pfd.load_Z.append(0.0)
pfd.load_I.append(0.0)
pfd.load_MW.append(-np.real(tempS_From) * pfd.basemva)
pfd.load_Mvar.append(0.0)
else:
pass
# adjust Mvar
if np.imag(tempS_From) > 0: # need to add shunt
if FromB in pfd.shnt_bus: # there is an existing shunt
idx = pfd.shnt_bus.index(FromB)
pfd.shnt_gb[idx] = pfd.shnt_gb[idx] + complex(0.0, np.imag(tempS_From) * pfd.basemva)
else: # no existing shunt, need to add one
pfd.shnt_bus.append(FromB)
pfd.shnt_id.append('1')
pfd.shnt_gb.append(complex(0.0, np.imag(tempS_From) * pfd.basemva))
elif np.imag(tempS_From) < 0: # need to add Mvar load # not run into during testing
if FromB in pfd.load_bus: # there is an existing load
idx = pfd.load_bus.index(FromB)
pfd.load_Mvar[idx] = pfd.load_Mvar[idx] - np.imag(tempS_From) * pfd.basemva
pfd.load_P[idx] = pfd.load_P[idx] - complex(0.0, np.imag(tempS_From) * pfd.basemva)
else: # no existing load, need to add one
pfd.load_bus.append(FromB)
pfd.load_id.append('1')
pfd.load_P.append(complex(0.0, -np.imag(tempS_From) * pfd.basemva))
pfd.load_Z.append(0.0)
pfd.load_I.append(0.0)
pfd.load_Mvar.append(-np.imag(tempS_From) * pfd.basemva)
pfd.load_MW.append(0.0)
else:
pass
# adjust To side
# adjust MW
if np.real(tempS_To) > 0: # need to add generation
pfd.gen_MW[ToB_G] = pfd.gen_MW[ToB_G] + np.real(
tempS_To) * pfd.basemva # not run into during testing
elif np.real(tempS_To) < 0: # need to add load
if ToB in pfd.load_bus: # there is an existing load
idx = pfd.load_bus.index(ToB)
pfd.load_MW[idx] = pfd.load_MW[idx] - np.real(tempS_To) * pfd.basemva
pfd.load_P[idx] = pfd.load_P[idx] - complex(np.real(tempS_To) * pfd.basemva, 0.0)
else: # no existing load, need to add one
pfd.load_bus.append(ToB)
pfd.load_id.append('1')
pfd.load_P.append(complex(-np.real(tempS_To) * pfd.basemva, 0.0))
pfd.load_Z.append(0.0)
pfd.load_I.append(0.0)
pfd.load_MW.append(-np.real(tempS_To) * pfd.basemva)
pfd.load_Mvar.append(0.0)
else:
pass
# adjust Mvar
if np.imag(tempS_To) > 0: # need to add shunt
if ToB in pfd.shnt_bus: # there is an existing shunt
idx = pfd.shnt_bus.index(ToB)
pfd.shnt_gb[idx] = pfd.shnt_gb[idx] + complex(0.0, np.imag(tempS_To) * pfd.basemva)
else: # no existing shunt, need to add one
pfd.shnt_bus.append(ToB)
pfd.shnt_id.append('1')
pfd.shnt_gb.append(complex(0.0, np.imag(tempS_To) * pfd.basemva))
elif np.imag(tempS_To) < 0: # need to add Mvar load # not run into during testing
if ToB in pfd.load_bus: # there is an existing load
idx = pfd.load_bus.index(ToB)
pfd.load_Mvar[idx] = pfd.load_Mvar[idx] - np.imag(tempS_To) * pfd.basemva
pfd.load_P[idx] = pfd.load_P[idx] - complex(0.0, np.imag(tempS_To) * pfd.basemva)
else: # no existing load, need to add one
pfd.load_bus.append(ToB)
pfd.load_id.append('1')
pfd.load_P.append(complex(0.0, -np.imag(tempS_To) * pfd.basemva))
pfd.load_Z.append(0.0)
pfd.load_I.append(0.0)
pfd.load_Mvar.append(-np.imag(tempS_To) * pfd.basemva)
pfd.load_MW.append(0.0)
else:
pass
return pfd
def lists_to_arrays(self):
for k in self.__dict__.keys():
attr = getattr(self, k)
if type(attr) is list:
setattr(self, k, np.array(attr))
return
class DyData():
# Maps string governor model names to integers
gov_model_map = {
'GAST':0,
'HYGOV':1,
'TGOV1':2,
}
def __init__(self):
## types
self.gen_type = np.asarray([])
self.exc_type = np.asarray([])
self.gov_type = np.asarray([])
self.pss_type = np.asarray([])
self.gen_Ra = np.asarray([]) # pu on machine MVA base
self.gen_X0 = np.asarray([]) # pu on machine MVA base
## gen
self.gen_n = 0
# GENROU
self.gen_genrou_bus = np.asarray([])
self.gen_genrou_id = np.asarray([])
self.gen_genrou_Td0p = np.asarray([])
self.gen_genrou_Td0pp = np.asarray([])
self.gen_genrou_Tq0p = np.asarray([])
self.gen_genrou_Tq0pp = np.asarray([])
self.gen_H = np.asarray([]) # pu on machine MVA base
self.gen_D = np.asarray([]) # pu on machine MVA base
self.gen_genrou_Xd = np.asarray([]) # pu on machine MVA base
self.gen_genrou_Xq = np.asarray([]) # pu on machine MVA base
self.gen_genrou_Xdp = np.asarray([]) # pu on machine MVA base
self.gen_genrou_Xqp = np.asarray([]) # pu on machine MVA base
self.gen_genrou_Xdpp = np.asarray([]) # pu on machine MVA base
self.gen_genrou_Xl = np.asarray([]) # pu on machine MVA base
self.gen_genrou_S10 = np.asarray([])
self.gen_genrou_S12 = np.asarray([])
self.gen_genrou_idx = np.asarray([])
self.gen_genrou_n = 0
self.gen_genrou_xi_st = 0
self.gen_genrou_odr = 0
## exc
self.exc_n = 0
# SEXS
self.exc_sexs_bus = np.asarray([])
self.exc_sexs_id = np.asarray([])
self.exc_sexs_TA_o_TB = np.asarray([])
self.exc_sexs_TA = np.asarray([])
self.exc_sexs_TB = np.asarray([])
self.exc_sexs_K = np.asarray([])
self.exc_sexs_TE = np.asarray([])
self.exc_sexs_Emin = np.asarray([]) # pu on EFD base
self.exc_sexs_Emax = np.asarray([]) # pu on EFD base
self.exc_sexs_idx = np.asarray([])
self.exc_sexs_n = 0
self.exc_sexs_xi_st = 0
self.exc_sexs_odr = 0
## gov
self.gov_n = 0
# TGOV1
self.gov_tgov1_bus = np.asarray([])
self.gov_tgov1_id = np.asarray([])
self.gov_tgov1_R = np.asarray([]) # pu on machine MVA base
self.gov_tgov1_T1 = np.asarray([])
self.gov_tgov1_Vmax = np.asarray([]) # pu on machine MVA base
self.gov_tgov1_Vmin = np.asarray([]) # pu on machine MVA base
self.gov_tgov1_T2 = np.asarray([])
self.gov_tgov1_T3 = np.asarray([])
self.gov_tgov1_Dt = np.asarray([]) # pu on machine MVA base
self.gov_tgov1_idx = np.asarray([])
self.gov_tgov1_n = 0
self.gov_tgov1_xi_st = 0
self.gov_tgov1_odr = 0
# HYGOV
self.gov_hygov_bus = np.asarray([])
self.gov_hygov_id = np.asarray([])
self.gov_hygov_R = np.asarray([]) # pu on machine MVA base
self.gov_hygov_r = np.asarray([]) # pu on machine MVA base
self.gov_hygov_Tr = np.asarray([])
self.gov_hygov_Tf = np.asarray([])
self.gov_hygov_Tg = np.asarray([])
self.gov_hygov_VELM = np.asarray([])
self.gov_hygov_GMAX = np.asarray([])
self.gov_hygov_GMIN = np.asarray([])
self.gov_hygov_TW = np.asarray([])
self.gov_hygov_At = np.asarray([])
self.gov_hygov_Dturb = np.asarray([]) # pu on machine MVA base
self.gov_hygov_qNL = np.asarray([])
self.gov_hygov_idx = np.asarray([])
self.gov_hygov_n = 0
self.gov_hygov_xi_st = 0
self.gov_hygov_odr = 0
# GAST
self.gov_gast_bus = np.asarray([])
self.gov_gast_id = np.asarray([])
self.gov_gast_R = np.asarray([])
self.gov_gast_T1 = np.asarray([])
self.gov_gast_T2 = np.asarray([])
self.gov_gast_T3 = np.asarray([])
self.gov_gast_LdLmt = np.asarray([])
self.gov_gast_KT = np.asarray([])
self.gov_gast_VMAX = np.asarray([])
self.gov_gast_VMIN = np.asarray([])
self.gov_gast_Dturb = np.asarray([])
self.gov_gast_idx = np.asarray([])
self.gov_gast_n = 0
self.gov_gast_xi_st = 0
self.gov_gast_odr = 0
## pss
self.pss_n = 0
# IEEEST
self.pss_ieeest_bus = np.asarray([])
self.pss_ieeest_id = np.asarray([])
self.pss_ieeest_A1 = np.asarray([])
self.pss_ieeest_A2 = np.asarray([])
self.pss_ieeest_A3 = np.asarray([])
self.pss_ieeest_A4 = np.asarray([])
self.pss_ieeest_A5 = np.asarray([])
self.pss_ieeest_A6 = np.asarray([])
self.pss_ieeest_T1 = np.asarray([])
self.pss_ieeest_T2 = np.asarray([])
self.pss_ieeest_T3 = np.asarray([])
self.pss_ieeest_T4 = np.asarray([])
self.pss_ieeest_T5 = np.asarray([])
self.pss_ieeest_T6 = np.asarray([])
self.pss_ieeest_KS = np.asarray([])
self.pss_ieeest_LSMAX = np.asarray([])
self.pss_ieeest_LSMIN = np.asarray([])
self.pss_ieeest_VCU = np.asarray([])
self.pss_ieeest_VCL = np.asarray([])
self.pss_ieeest_idx = np.asarray([])
self.pss_ieeest_n = 0
self.pss_ieeest_xi_st = 0
self.pss_ieeest_odr = 0
self.ec_Lad = np.asarray([])
self.ec_Laq = np.asarray([])
self.ec_Ll = np.asarray([])
self.ec_Lffd = np.asarray([])
self.ec_L11d = np.asarray([])
self.ec_L11q = np.asarray([])
self.ec_L22q = np.asarray([])
self.ec_Lf1d = np.asarray([])
self.ec_Ld = np.asarray([])
self.ec_Lq = np.asarray([])
self.ec_L0 = np.asarray([])
self.ec_Ra = np.asarray([])
self.ec_Rfd = np.asarray([])
self.ec_R1d = np.asarray([])
self.ec_R1q = np.asarray([])
self.ec_R2q = np.asarray([])
self.ec_Lfd = np.asarray([])
self.ec_L1d = np.asarray([])
self.ec_L1q = np.asarray([])
self.ec_L2q = np.asarray([])
self.base_es = np.asarray([])
self.base_is = np.asarray([])
self.base_Is = np.asarray([])
self.base_Zs = np.asarray([])
self.base_Ls = np.asarray([])
self.base_ifd = np.asarray([])
self.base_efd = np.asarray([])
self.base_Zfd = np.asarray([])
self.base_Lfd = np.asarray([])
## IBR parameters
self.ibr_n = 0
self.ibr_odr = 0
self.ibr_kVbase = np.asarray([])
self.ibr_MVAbase = np.asarray([])
self.ibr_fbase = np.asarray([])
self.ibr_Ibase = np.asarray([])
self.ibr_regca_bus = np.asarray([])
self.ibr_regca_id = np.asarray([])
self.ibr_regca_LVPLsw = np.asarray([])
self.ibr_regca_Tg = np.asarray([])
self.ibr_regca_Rrpwr = np.asarray([])
self.ibr_regca_Brkpt = np.asarray([])
self.ibr_regca_Zerox = np.asarray([])
self.ibr_regca_Lvpl1 = np.asarray([])
self.ibr_regca_Volim = np.asarray([])
self.ibr_regca_Lvpnt1 = np.asarray([])
self.ibr_regca_Lvpnt0 = np.asarray([])
self.ibr_regca_Iolim = np.asarray([])
self.ibr_regca_Tfltr = np.asarray([])
self.ibr_regca_Khv = np.asarray([])
self.ibr_regca_Iqrmax = np.asarray([])
self.ibr_regca_Iqrmin = np.asarray([])
self.ibr_regca_Accel = np.asarray([])
self.ibr_reecb_bus = np.asarray([])
self.ibr_reecb_id = np.asarray([])
self.ibr_reecb_PFFLAG = np.asarray([])
self.ibr_reecb_VFLAG = np.asarray([])
self.ibr_reecb_QFLAG = np.asarray([])
self.ibr_reecb_PQFLAG = np.asarray([])
self.ibr_reecb_Vdip = np.asarray([])
self.ibr_reecb_Vup = np.asarray([])
self.ibr_reecb_Trv = np.asarray([])
self.ibr_reecb_dbd1 = np.asarray([])
self.ibr_reecb_dbd2 = np.asarray([])
self.ibr_reecb_Kqv = np.asarray([])
self.ibr_reecb_Iqhl = np.asarray([])
self.ibr_reecb_Iqll = np.asarray([])
self.ibr_reecb_Vref0 = np.asarray([])
self.ibr_reecb_Tp = np.asarray([])
self.ibr_reecb_Qmax = np.asarray([])
self.ibr_reecb_Qmin = np.asarray([])
self.ibr_reecb_Vmax = np.asarray([])
self.ibr_reecb_Vmin = np.asarray([])
self.ibr_reecb_Kqp = np.asarray([])
self.ibr_reecb_Kqi = np.asarray([])
self.ibr_reecb_Kvp = np.asarray([])
self.ibr_reecb_Kvi = np.asarray([])
self.ibr_reecb_Tiq = np.asarray([])
self.ibr_reecb_dPmax = np.asarray([])
self.ibr_reecb_dPmin = np.asarray([])
self.ibr_reecb_Pmax = np.asarray([])
self.ibr_reecb_Pmin = np.asarray([])
self.ibr_reecb_Imax = np.asarray([])
self.ibr_reecb_Tpord = np.asarray([])
self.ibr_repca_bus = np.asarray([])
self.ibr_repca_id = np.asarray([])
self.ibr_repca_remote_bus = np.asarray([])
self.ibr_repca_branch_From_bus = np.asarray([])
self.ibr_repca_branch_To_bus = np.asarray([])
self.ibr_repca_branch_id = np.asarray([])
self.ibr_repca_VCFlag = np.asarray([])
self.ibr_repca_RefFlag = np.asarray([])
self.ibr_repca_FFlag = np.asarray([])
self.ibr_repca_Tfltr = np.asarray([])
self.ibr_repca_Kp = np.asarray([])
self.ibr_repca_Ki = np.asarray([])
self.ibr_repca_Tft = np.asarray([])
self.ibr_repca_Tfv = np.asarray([])
self.ibr_repca_Vfrz = np.asarray([])
self.ibr_repca_Rc = np.asarray([])
self.ibr_repca_Xc = np.asarray([])
self.ibr_repca_Kc = np.asarray([])
self.ibr_repca_emax = np.asarray([])
self.ibr_repca_emin = np.asarray([])
self.ibr_repca_dbd1 = np.asarray([])
self.ibr_repca_dbd2 = np.asarray([])
self.ibr_repca_Qmax = np.asarray([])
self.ibr_repca_Qmin = np.asarray([])
self.ibr_repca_Kpg = np.asarray([])
self.ibr_repca_Kig = np.asarray([])
self.ibr_repca_Tp = np.asarray([])
self.ibr_repca_fdbd1 = np.asarray([])
self.ibr_repca_fdbd2 = np.asarray([])
self.ibr_repca_femax = np.asarray([])
self.ibr_repca_femin = np.asarray([])
self.ibr_repca_Pmax = np.asarray([])
self.ibr_repca_Pmin = np.asarray([])
self.ibr_repca_Tg = np.asarray([])
self.ibr_repca_Ddn = np.asarray([])
self.ibr_repca_Dup = np.asarray([])
# PLL for bus freq/ang measurement
self.pll_bus = np.asarray([])
self.pll_ke = np.asarray([])
self.pll_te = np.asarray([])
self.bus_odr = 0
# bus volt magnitude measurement
self.vm_bus = np.asarray([])
self.vm_te = np.asarray([])
# measurement method
self.mea_bus = np.asarray([])
self.mea_method = np.asarray([])
# load
self.load_odr = 0
def getdata(self, file_dydata, pfd, N):
# detailed machine model
dyn_data = xlrd.open_workbook(file_dydata)
# gen
ngen = int(len(pfd.gen_bus) / N)
gen_data = dyn_data.sheet_by_index(0)
self.gen_n = gen_data.ncols - 1
if ngen > self.gen_n:
print('Error: More generators in pf data than dyn data!!\n')
elif self.gen_n > ngen:
print('Warning: More generators in dyn data than pf data!!\n')
for i in range(self.gen_n):
flag = 0
typei = str(gen_data.cell_value(2, i + 1))
self.gen_type = np.append(self.gen_type, typei)
if typei == 'GENROU':
flag = 1
self.gen_genrou_idx = np.append(self.gen_genrou_idx, i)
self.gen_genrou_n = self.gen_genrou_n + 1
nn = 1
self.gen_genrou_bus = np.append(self.gen_genrou_bus, float(gen_data.cell_value(0, i + 1)))
self.gen_genrou_id = np.append(self.gen_genrou_bus, gen_data.cell_value(1, i + 1))
self.gen_genrou_Td0p = np.append(self.gen_genrou_Td0p, float(gen_data.cell_value(2 + nn, i + 1)))
self.gen_genrou_Td0pp = np.append(self.gen_genrou_Td0pp, float(gen_data.cell_value(3 + nn, i + 1)))
self.gen_genrou_Tq0p = np.append(self.gen_genrou_Tq0p, float(gen_data.cell_value(4 + nn, i + 1)))
self.gen_genrou_Tq0pp = np.append(self.gen_genrou_Tq0pp, float(gen_data.cell_value(5 + nn, i + 1)))
self.gen_H = np.append(self.gen_H, float(gen_data.cell_value(6 + nn, i + 1)))
self.gen_D = np.append(self.gen_D, float(gen_data.cell_value(7 + nn, i + 1)))
self.gen_genrou_Xd = np.append(self.gen_genrou_Xd, float(gen_data.cell_value(8 + nn, i + 1)))
self.gen_genrou_Xq = np.append(self.gen_genrou_Xq, float(gen_data.cell_value(9 + nn, i + 1)))
self.gen_genrou_Xdp = np.append(self.gen_genrou_Xdp, float(gen_data.cell_value(10 + nn, i + 1)))
self.gen_genrou_Xqp = np.append(self.gen_genrou_Xqp, float(gen_data.cell_value(11 + nn, i + 1)))
self.gen_genrou_Xdpp = np.append(self.gen_genrou_Xdpp, float(gen_data.cell_value(12 + nn, i + 1)))
self.gen_genrou_Xl = np.append(self.gen_genrou_Xl, float(gen_data.cell_value(13 + nn, i + 1)))
self.gen_genrou_S10 = np.append(self.gen_genrou_S10, float(gen_data.cell_value(14 + nn, i + 1)))
self.gen_genrou_S12 = np.append(self.gen_genrou_S12, float(gen_data.cell_value(15 + nn, i + 1)))
self.gen_Ra = np.append(self.gen_Ra, float(gen_data.cell_value(16 + nn, i + 1)))
self.gen_X0 = np.append(self.gen_X0, float(gen_data.cell_value(13 + nn, i + 1)))
if flag == 0:
print('ERROR: Machine model not supported:')
print(typei)
print('\n')
# exc
exc_data = dyn_data.sheet_by_index(1)
self.exc_n = exc_data.ncols - 1
for i in range(self.exc_n):
flag = 0
typei = str(exc_data.cell_value(2, i + 1))
self.exc_type = np.append(self.exc_type, typei)
if typei == 'SEXS':
flag = 1
self.exc_sexs_idx = np.append(self.exc_sexs_idx, i)
self.exc_sexs_n = self.exc_sexs_n + 1
nn = 1
self.exc_sexs_bus = np.append(self.exc_sexs_bus, float(exc_data.cell_value(0, i + 1)))
self.exc_sexs_id = np.append(self.exc_sexs_id, exc_data.cell_value(1, i + 1))
self.exc_sexs_TA_o_TB = np.append(self.exc_sexs_TA_o_TB, float(exc_data.cell_value(2 + nn, i + 1)))
self.exc_sexs_TB = np.append(self.exc_sexs_TB, float(exc_data.cell_value(3 + nn, i + 1)))
self.exc_sexs_K = np.append(self.exc_sexs_K, float(exc_data.cell_value(4 + nn, i + 1)))
self.exc_sexs_TE = np.append(self.exc_sexs_TE, float(exc_data.cell_value(5 + nn, i + 1)))
self.exc_sexs_Emin = np.append(self.exc_sexs_Emin, float(exc_data.cell_value(6 + nn, i + 1)))
self.exc_sexs_Emax = np.append(self.exc_sexs_Emax, float(exc_data.cell_value(7 + nn, i + 1)))
self.exc_sexs_TA = np.append(self.exc_sexs_TA, self.exc_sexs_TB[i] * self.exc_sexs_TA_o_TB[i])
if flag == 0:
print('ERROR: Exciter model not supported:')
print(typei)
print('\n')
# gov
gov_data = dyn_data.sheet_by_index(2)
self.gov_n = gov_data.ncols - 1
# self.gov_type = [""]*self.gov_n
self.gov_type = np.empty(self.gov_n, dtype=int)
for i in range(self.gov_n):
flag = 0
typei = str(gov_data.cell_value(2, i + 1))
if typei == 'TGOV1':
flag = 1
self.gov_tgov1_n = self.gov_tgov1_n + 1
self.gov_tgov1_bus = np.append(self.gov_tgov1_bus, int(gov_data.cell_value(0, i + 1)))
tempid = str(gov_data.cell_value(1, i + 1))
if len(str(gov_data.cell_value(1, i + 1))) == 1:
tempid = tempid + ' '
self.gov_tgov1_id = np.append(self.gov_tgov1_id, tempid)
idx1 = np.where(pfd.gen_bus == self.gov_tgov1_bus[-1])[0]
idx2 = np.where(pfd.gen_id[idx1] == tempid)[0][0]
self.gov_tgov1_idx = np.append(self.gov_tgov1_idx, int(idx1[idx2]))
self.gov_type[int(idx1[idx2])] = DyData.gov_model_map[typei]
self.gov_tgov1_R = np.append(self.gov_tgov1_R, float(gov_data.cell_value(3, i + 1)))
self.gov_tgov1_T1 = np.append(self.gov_tgov1_T1, float(gov_data.cell_value(4, i + 1)))
self.gov_tgov1_Vmax = np.append(self.gov_tgov1_Vmax, float(gov_data.cell_value(5, i + 1)))
self.gov_tgov1_Vmin = np.append(self.gov_tgov1_Vmin, float(gov_data.cell_value(6, i + 1)))
self.gov_tgov1_T2 = np.append(self.gov_tgov1_T2, float(gov_data.cell_value(7, i + 1)))
self.gov_tgov1_T3 = np.append(self.gov_tgov1_T3, float(gov_data.cell_value(8, i + 1)))
self.gov_tgov1_Dt = np.append(self.gov_tgov1_Dt, float(gov_data.cell_value(9, i + 1)))
if typei == 'HYGOV':
flag = 1
self.gov_hygov_n = self.gov_hygov_n + 1
self.gov_hygov_bus = np.append(self.gov_hygov_bus, int(gov_data.cell_value(0, i + 1)))
tempid = str(gov_data.cell_value(1, i + 1))
if len(str(gov_data.cell_value(1, i + 1))) == 1:
tempid = tempid + ' '
self.gov_hygov_id = np.append(self.gov_hygov_id, tempid)
idx1 = np.where(pfd.gen_bus == self.gov_hygov_bus[-1])[0]
idx2 = np.where(pfd.gen_id[idx1] == tempid)[0][0]
self.gov_hygov_idx = np.append(self.gov_hygov_idx, int(idx1[idx2]))
self.gov_type[int(idx1[idx2])] = DyData.gov_model_map[typei]
self.gov_hygov_R = np.append(self.gov_hygov_R, float(gov_data.cell_value(3, i + 1)))
self.gov_hygov_r = np.append(self.gov_hygov_r, float(gov_data.cell_value(4, i + 1)))
self.gov_hygov_Tr = np.append(self.gov_hygov_Tr, float(gov_data.cell_value(5, i + 1)))
self.gov_hygov_Tf = np.append(self.gov_hygov_Tf, float(gov_data.cell_value(6, i + 1)))
self.gov_hygov_Tg = np.append(self.gov_hygov_Tg, float(gov_data.cell_value(7, i + 1)))
self.gov_hygov_VELM = np.append(self.gov_hygov_VELM, float(gov_data.cell_value(8, i + 1)))
self.gov_hygov_GMAX = np.append(self.gov_hygov_GMAX, float(gov_data.cell_value(9, i + 1)))
self.gov_hygov_GMIN = np.append(self.gov_hygov_GMIN, float(gov_data.cell_value(10, i + 1)))
self.gov_hygov_TW = np.append(self.gov_hygov_TW, float(gov_data.cell_value(11, i + 1)))
self.gov_hygov_At = np.append(self.gov_hygov_At, float(gov_data.cell_value(12, i + 1)))
self.gov_hygov_Dturb = np.append(self.gov_hygov_Dturb, float(gov_data.cell_value(13, i + 1)))
self.gov_hygov_qNL = np.append(self.gov_hygov_qNL, float(gov_data.cell_value(14, i + 1)))
if typei == 'GAST':
flag = 1
self.gov_gast_n = self.gov_gast_n + 1
self.gov_gast_bus = np.append(self.gov_gast_bus, float(gov_data.cell_value(0, i + 1)))
tempid = str(gov_data.cell_value(1, i + 1))
tempid = tempid.replace("'"," ")
if len(tempid) == 1:
tempid = tempid + " "
self.gov_gast_id = np.append(self.gov_gast_id, tempid)
idx1 = np.where(pfd.gen_bus == self.gov_gast_bus[-1])[0]
idx2 = np.where(pfd.gen_id[idx1] == tempid)[0][0]
self.gov_gast_idx = np.append(self.gov_gast_idx, int(idx1[idx2]))
self.gov_type[int(idx1[idx2])] = DyData.gov_model_map[typei]
self.gov_gast_R = np.append(self.gov_gast_R, float(gov_data.cell_value(3, i + 1)))
self.gov_gast_T1 = np.append(self.gov_gast_T1, float(gov_data.cell_value(4, i + 1)))
self.gov_gast_T2 = np.append(self.gov_gast_T2, float(gov_data.cell_value(5, i + 1)))
self.gov_gast_T3 = np.append(self.gov_gast_T3, float(gov_data.cell_value(6, i + 1)))
self.gov_gast_LdLmt = np.append(self.gov_gast_LdLmt, float(gov_data.cell_value(7, i + 1)))
self.gov_gast_KT = np.append(self.gov_gast_KT, float(gov_data.cell_value(8, i + 1)))
self.gov_gast_VMAX = np.append(self.gov_gast_VMAX, float(gov_data.cell_value(9, i + 1)))
self.gov_gast_VMIN = np.append(self.gov_gast_VMIN, float(gov_data.cell_value(10, i + 1)))
self.gov_gast_Dturb = np.append(self.gov_gast_Dturb, float(gov_data.cell_value(11, i + 1)))
if flag == 0:
print('ERROR: Governor model not supported:')
print(typei)
print('\n')
# pss
pss_data = dyn_data.sheet_by_index(3)
self.pss_n = pss_data.ncols - 1
for i in range(self.pss_n):
flag = 0
typei = str(pss_data.cell_value(2, i + 1))
self.pss_type = np.append(self.pss_type, typei)
if typei == 'IEEEST':
flag = 1
self.pss_ieeest_n = self.pss_ieeest_n + 1
self.pss_ieeest_bus = np.append(self.pss_ieeest_bus, float(pss_data.cell_value(0, i + 1)))
tempid = str(pss_data.cell_value(1, i + 1))
tempid = tempid.replace("'", " ")
if len(tempid) == 1:
tempid = tempid + " "
self.pss_ieeest_id = np.append(self.pss_ieeest_id, tempid)
idx1 = np.where(pfd.gen_bus == self.pss_ieeest_bus[i])[0]
idx2 = np.where(pfd.gen_id[idx1] == self.pss_ieeest_id[i])[0][0]
self.pss_ieeest_idx = np.append(self.pss_ieeest_idx, idx1[idx2])
self.pss_ieeest_A1 = np.append(self.pss_ieeest_A1, float(pss_data.cell_value(3, i + 1)))
self.pss_ieeest_A2 = np.append(self.pss_ieeest_A2, float(pss_data.cell_value(4, i + 1)))
self.pss_ieeest_A3 = np.append(self.pss_ieeest_A3, float(pss_data.cell_value(5, i + 1)))
self.pss_ieeest_A4 = np.append(self.pss_ieeest_A4, float(pss_data.cell_value(6, i + 1)))
self.pss_ieeest_A5 = np.append(self.pss_ieeest_A5, float(pss_data.cell_value(7, i + 1)))
self.pss_ieeest_A6 = np.append(self.pss_ieeest_A6, float(pss_data.cell_value(8, i + 1)))
self.pss_ieeest_T1 = np.append(self.pss_ieeest_T1, float(pss_data.cell_value(9, i + 1)))
self.pss_ieeest_T2 = np.append(self.pss_ieeest_T2, float(pss_data.cell_value(10, i + 1)))
self.pss_ieeest_T3 = np.append(self.pss_ieeest_T3, float(pss_data.cell_value(11, i + 1)))
self.pss_ieeest_T4 = np.append(self.pss_ieeest_T4, float(pss_data.cell_value(12, i + 1)))
self.pss_ieeest_T5 = np.append(self.pss_ieeest_T5, float(pss_data.cell_value(13, i + 1)))
self.pss_ieeest_T6 = np.append(self.pss_ieeest_T6, float(pss_data.cell_value(14, i + 1)))
self.pss_ieeest_KS = np.append(self.pss_ieeest_KS, float(pss_data.cell_value(15, i + 1)))
self.pss_ieeest_LSMAX = np.append(self.pss_ieeest_LSMAX, float(pss_data.cell_value(16, i + 1)))
self.pss_ieeest_LSMIN = np.append(self.pss_ieeest_LSMIN, float(pss_data.cell_value(17, i + 1)))
self.pss_ieeest_VCU = np.append(self.pss_ieeest_VCU, float(pss_data.cell_value(18, i + 1)))
self.pss_ieeest_VCL = np.append(self.pss_ieeest_VCL, float(pss_data.cell_value(19, i + 1)))
# ibr
regca_data = dyn_data.sheet_by_index(4)
self.ibr_n = regca_data.ncols - 1
for i in range(self.ibr_n):
self.ibr_regca_bus = np.append(self.ibr_regca_bus, float(regca_data.cell_value(0, i + 1)))
self.ibr_regca_id = np.append(self.ibr_regca_id, regca_data.cell_value(1, i + 1))
self.ibr_regca_LVPLsw = np.append(self.ibr_regca_LVPLsw, float(regca_data.cell_value(2, i + 1)))
self.ibr_regca_Tg = np.append(self.ibr_regca_Tg, float(regca_data.cell_value(3, i + 1)))
self.ibr_regca_Rrpwr = np.append(self.ibr_regca_Rrpwr, float(regca_data.cell_value(4, i + 1)))
self.ibr_regca_Brkpt = np.append(self.ibr_regca_Brkpt, float(regca_data.cell_value(5, i + 1)))
self.ibr_regca_Zerox = np.append(self.ibr_regca_Zerox, float(regca_data.cell_value(6, i + 1)))
self.ibr_regca_Lvpl1 = np.append(self.ibr_regca_Lvpl1, float(regca_data.cell_value(7, i + 1)))
self.ibr_regca_Volim = np.append(self.ibr_regca_Volim, float(regca_data.cell_value(8, i + 1)))
self.ibr_regca_Lvpnt1 = np.append(self.ibr_regca_Lvpnt1, float(regca_data.cell_value(9, i + 1)))
self.ibr_regca_Lvpnt0 = np.append(self.ibr_regca_Lvpnt0, float(regca_data.cell_value(10, i + 1)))
self.ibr_regca_Iolim = np.append(self.ibr_regca_Iolim, float(regca_data.cell_value(11, i + 1)))
self.ibr_regca_Tfltr = np.append(self.ibr_regca_Tfltr, float(regca_data.cell_value(12, i + 1)))
self.ibr_regca_Khv = np.append(self.ibr_regca_Khv, float(regca_data.cell_value(13, i + 1)))
self.ibr_regca_Iqrmax = np.append(self.ibr_regca_Iqrmax, float(regca_data.cell_value(14, i + 1)))
self.ibr_regca_Iqrmin = np.append(self.ibr_regca_Iqrmin, float(regca_data.cell_value(15, i + 1)))
self.ibr_regca_Accel = np.append(self.ibr_regca_Accel, float(regca_data.cell_value(16, i + 1)))
self.ibr_fbase = np.append(self.ibr_fbase, float(regca_data.cell_value(17, i + 1)))
self.ibr_MVAbase = np.append(self.ibr_MVAbase, float(regca_data.cell_value(18, i + 1))) # need to maintain consistence in MVAbase between pfd and dyd
ibrbus = pfd.ibr_bus[i]
ibrbus_idx = np.where(pfd.bus_num == ibrbus)
self.ibr_kVbase = np.append(self.ibr_kVbase, pfd.bus_basekV[ibrbus_idx])
reecb_data = dyn_data.sheet_by_index(5)
for i in range(reecb_data.ncols - 1):
self.ibr_reecb_bus = np.append(self.ibr_reecb_bus, float(reecb_data.cell_value(0, i + 1)))
self.ibr_reecb_id = np.append(self.ibr_reecb_id, reecb_data.cell_value(1, i + 1))
self.ibr_reecb_PFFLAG = np.append(self.ibr_reecb_PFFLAG, float(reecb_data.cell_value(2, i + 1)))
self.ibr_reecb_VFLAG = np.append(self.ibr_reecb_VFLAG, float(reecb_data.cell_value(3, i + 1)))
self.ibr_reecb_QFLAG = np.append(self.ibr_reecb_QFLAG, float(reecb_data.cell_value(4, i + 1)))
self.ibr_reecb_PQFLAG = np.append(self.ibr_reecb_PQFLAG, float(reecb_data.cell_value(5, i + 1)))
self.ibr_reecb_Vdip = np.append(self.ibr_reecb_Vdip, float(reecb_data.cell_value(6, i + 1)))
self.ibr_reecb_Vup = np.append(self.ibr_reecb_Vup, float(reecb_data.cell_value(7, i + 1)))
self.ibr_reecb_Trv = np.append(self.ibr_reecb_Trv, float(reecb_data.cell_value(8, i + 1)))
self.ibr_reecb_dbd1 = np.append(self.ibr_reecb_dbd1, float(reecb_data.cell_value(9, i + 1)))
self.ibr_reecb_dbd2 = np.append(self.ibr_reecb_dbd2, float(reecb_data.cell_value(10, i + 1)))
self.ibr_reecb_Kqv = np.append(self.ibr_reecb_Kqv, float(reecb_data.cell_value(11, i + 1)))
self.ibr_reecb_Iqhl = np.append(self.ibr_reecb_Iqhl, float(reecb_data.cell_value(12, i + 1)))
self.ibr_reecb_Iqll = np.append(self.ibr_reecb_Iqll, float(reecb_data.cell_value(13, i + 1)))
self.ibr_reecb_Vref0 = np.append(self.ibr_reecb_Vref0, float(reecb_data.cell_value(14, i + 1)))