refactoring varnames

acs/state_estimation/nv_powerflow.py

@@ -46,8 +46,8 @@ def solve(system):
 	V = np.ones(nodes_num) + 1j* np.zeros(nodes_num)
 	num_iter = 0
 	
-	State = np.ones(2*branches_num)
-	State = np.concatenate((np.array([1,0]),State),axis=0)
+	state = np.ones(2*branches_num)
+	state = np.concatenate((np.array([1,0]),state),axis=0)
 	
 	while diff > epsilon:
 		for i in range(0, nodes_num):
@@ -55,27 +55,27 @@ def solve(system):
 			i2 = i + nodes_num
 			node_type = system.nodes[i].type 
 			if node_type is BusType.SLACK:
-				h[m] = np.inner(H[m],State)
-				h[m+1] = np.inner(H[m+1],State)
+				h[m] = np.inner(H[m],state)
+				h[m+1] = np.inner(H[m+1],state)
 			elif node_type is BusType.PQ:
 				z[m] = (np.real(system.nodes[i].power_pu)*np.real(V[i]) + np.imag(system.nodes[i].power_pu)*np.imag(V[i]))/(np.abs(V[i])**2)
 				z[m+1] = (np.real(system.nodes[i].power_pu)*np.imag(V[i]) - np.imag(system.nodes[i].power_pu)*np.real(V[i]))/(np.abs(V[i])**2)
-				h[m] = np.inner(H[m],State)
-				h[m+1] = np.inner(H[m+1],State)
+				h[m] = np.inner(H[m],state)
+				h[m+1] = np.inner(H[m+1],state)
 			elif node_type is BusType.PV:
 				z[m] = (np.real(system.nodes[i].power_pu)*np.real(V[i])+ np.imag(system.nodes[i].power_pu)*np.imag(V[i]))(np.abs(V[i])**2)
-				h[m] = np.inner(H[m],State)
+				h[m] = np.inner(H[m],state)
 				h[m+1] = np.abs(V[i])
 				H[m+1][i] = np.cos(np.angle(V[i]))
 				H[m+1][i2] = np.sin(np.angle(V[i]))
 
 		r = np.subtract(z,h)
 		Hinv = np.linalg.inv(H)
-		Delta_State = np.inner(Hinv,r)
-		State = State + Delta_State
-		diff = np.amax(np.absolute(Delta_State))
+		delta_state = np.inner(Hinv,r)
+		state = state + delta_state
+		diff = np.amax(np.absolute(delta_state))
 		
-		V = State[:nodes_num] + 1j * State[nodes_num:]
+		V = state[:nodes_num] + 1j * state[nodes_num:]
 		num_iter = num_iter+1
 		
 	# calculate all the other quantities of the grid