Title :
Allocating Reactive Power Using Artificial Neural Network
Author :
Saypaserth, P. ; Premrudeepreechacharn, S.
Author_Institution :
Dept. of Electr. Eng., Chiang Mai Univ., Chiang Mai, Thailand
Abstract :
This paper presents a procedure for allocating reactive power using artificial neural network (ANN). Artificial neural network is trained based on data from Y-bus matrix. Training and testing of this ANN network have been done with five bus test system. Back propagation learning has been utilized to train the ANN. A numerical example on allocating reactive power using a feed forward back propagation algorithm has been provided. The simulation results have been compared with Y-bus matrix method. The simulation results have illustrated that ANN is a good accuracy with simplicity in calculation.
Keywords :
backpropagation; feedforward neural nets; power engineering computing; power system security; reactive power control; voltage control; artificial neural network; back propagation learning; feed forward back propagation algorithm; five bus test system; reactive power; Artificial neural networks; Generators; Reactive power; Resource management; Testing; Training; Transmission line matrix methods;
Conference_Titel :
Power and Energy Engineering Conference (APPEEC), 2011 Asia-Pacific
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6253-7
DOI :
10.1109/APPEEC.2011.5749101