import numpy as np from common_func import ipss_app from common_func import learning_rate from common_func import train_steps from common_func import transfer2JavaDblAry from common_func import printArray from common_func import print2DArray train_points = 50 # # load the IEEE-14Bus case # filename = 'c:/temp/temp/ieee14.ieee' noBus, noBranch = ipss_app.loadCase(filename, 'BusVoltLoadChangeTrainCaseBuilder') print(filename, ' loaded, no of Buses, Branches:', noBus, ', ', noBranch) # define model size size = noBus * 2 #print('size: ', size) # define model variables W = tf.Variable(tf.zeros([size, size])) b = tf.Variable(tf.zeros([size])) init = tf.initialize_all_variables() # define model
import tensorflow as tf import numpy as np from common_func import ipss_app from common_func import learning_rate from common_func import train_steps from common_func import transfer2PyArrays train_points = 50 # # load the IEEE-14Bus case # filename = 'c:/temp/temp/ieee14.ieee' intAry = ipss_app.loadCase(filename, 'BranchPLoadChangeTrainCaseBuilder') noBus, noBranch = intAry print(filename, ' loaded, no of Buses, Branches:', noBus, ', ', noBranch) # define model size size = noBus * 2 #print('size: ', size) # define model variables W1 = tf.Variable(tf.zeros([size, noBranch])) b1 = tf.Variable(tf.zeros([noBranch])) init = tf.initialize_all_variables() # define model
import numpy as np from common_func import ipss_app from common_func import learning_rate from common_func import train_steps from common_func import printArray from common_func import print2DArray from common_func import transfer2PyArrays train_points = 100 # # load the IEEE-14Bus case # filename = 'c:/temp/temp/ieee14.ieee' intAry = ipss_app.loadCase(filename, 'BranchContingencyMaxPLoadChangeTrainCaseBuilder') noBus, noBranch = intAry print(filename, ' loaded, no of Buses, Branches:', noBus, ', ', noBranch) # define model size size = noBus * 2 #print('size: ', size) # define model variables W1 = tf.Variable(tf.zeros([size, noBranch])) b1 = tf.Variable(tf.zeros([noBranch])) init = tf.initialize_all_variables() # define model