Allocating Reactive Power Using Artificial Neural Network

Author

Saypaserth, P. ; Premrudeepreechacharn, S.

Author_Institution

Dept. of Electr. Eng., Chiang Mai Univ., Chiang Mai, Thailand

fYear

2011

fDate

25-28 March 2011

Firstpage

1

Lastpage

4

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Power and Energy Engineering Conference (APPEEC), 2011 Asia-Pacific

Conference_Location

Wuhan

ISSN

2157-4839

Print_ISBN

978-1-4244-6253-7

Type

conf

DOI

10.1109/APPEEC.2011.5749101

Filename

5749101