53 lines
1 KiB
Python
53 lines
1 KiB
Python
import numpy as np
|
|
import matplotlib.pyplot as plt
|
|
import PyQt5 as qt
|
|
|
|
# Vn = 4e5 # En V
|
|
|
|
def make_Y(n):
|
|
Y = np.zeros((n, n))
|
|
return Y
|
|
|
|
def connect_Y(x, y, Ys, Yp, Y):
|
|
Y[x, y] = -Ys
|
|
Y[y, x] = -Ys
|
|
Y[x, x] += Ys + Yp
|
|
Y[y, y] += Ys + Yp
|
|
|
|
def spec(n, Y, Vn):
|
|
S = np.zeros((n, n))
|
|
for i in range(n):
|
|
for k in range(n):
|
|
if i == k:
|
|
S[i, k] = n
|
|
else:
|
|
S[i, k] = -1
|
|
S[i, k] *= Vn**2 * Y[i, k]
|
|
return S
|
|
|
|
def delta_select(i, S):
|
|
for k in range(len(S)):
|
|
S[i, k] = 0
|
|
|
|
|
|
Y = make_Y(4)
|
|
connect_Y(2, 3, 0.1, 0, Y)
|
|
connect_Y(1, 3, 0.15, 0, Y)
|
|
connect_Y(2, 1, 0.05, 0, Y)
|
|
connect_Y(2, 0, 0.05, 0, Y)
|
|
connect_Y(3, 0, 0.05, 0, Y)
|
|
print("Admittance matrix :")
|
|
print(Y)
|
|
S = spec(4, Y, 2e5)
|
|
print("System matrix :")
|
|
print(S)
|
|
invS = np.linalg.inv(S)
|
|
print(invS)
|
|
P = np.array([1000, -500, -250, -250])
|
|
P = P * 1e6
|
|
print("Power input :")
|
|
print(P)
|
|
delta = np.dot(invS, P)
|
|
print("Delta (rad) :")
|
|
print(delta)
|
|
print(delta * 180 / 3.1415) |