Title :
An artificial neural-net based method for predicting power system voltage harmonics
Author :
Mori, Hiroyuki ; Itou, Kenji ; Uematsu, Hiroshi ; Tsuzuki, Senji
Author_Institution :
Dept. of Electr. Eng., Meiji Univ., Kawasaki, Japan
fDate :
1/1/1992 12:00:00 AM
Abstract :
A novel method for predicting power system voltage harmonics with an artificial neural network is presented. The method is based on the backpropagation learning technique for feedforward neural networks. The promise of the proposed method in harmonics prediction is shown. In order to demonstrate its effectiveness, the proposed method is applied to voltage harmonics observed through a personal computer based measurement system and the performance is compared with that of conventional methods
Keywords :
harmonics; microcomputer applications; neural nets; power system analysis computing; artificial neural-net based method; backpropagation learning technique; feedforward neural networks; personal computer based measurement system; power system; voltage harmonics prediction; Artificial neural networks; Backpropagation; Feedforward neural networks; Neural networks; Power system harmonics; Power system protection; Power system security; Power system stability; Power system transients; Voltage;
Journal_Title :
Power Delivery, IEEE Transactions on
