AN ARTIFICIAL NEURAL-NET BASED METHOD FOR PREDICTING POWER-SYSTEM VOLTAGE HARMONICS

被引：51

作者：

MORI, H

ITOU, K

UEMATSU, H

TSUZUKI, S

机构：

[1] Department of Electrical Engineering, Meiji University, Tama-ku

来源：

IEEE TRANSACTIONS ON POWER DELIVERY | 1992年 / 7卷 / 01期

关键词：

HARMONICS; ADAPTIVE PREDICTION; ARTIFICIAL NEURAL NETWORK; BACKPROPAGATION; AR MODELS;

D O I：

10.1109/61.108934

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper presents a new method for predicting power system voltage harmonics with an artificial neural network. The method is based on the backpropagation learning technique for feedforward neural networks. This paper shows how the proposed method is promising in harmonics prediction. In order to demonstrate the effectiveness, the proposed method is applied to voltage harmonics observed through a personal computer based measurement system and the performance is compared with the ten conventional methods.

引用

页码：402 / 409

页数：8

共 28 条

[1] AGGOUNE ME, 1989, 1989 P IEEE PICA C S, P252
[2] ON A REALIZATION AND RELATED ALGORITHM FOR ADAPTIVE PREDICTION
AHMED, N
YOUN, DH
[J]. IEEE TRANSACTIONS ON ACOUSTICS SPEECH AND SIGNAL PROCESSING, 1980, 28 (05): : 493 - 497
[3] NEW LOOK AT STATISTICAL-MODEL IDENTIFICATION
AKAIKE, H
[J]. IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 1974, AC19 (06) : 716 - 723
[4] Box G.E.P., 1976, TIME SERIES ANAL
[5] BRADLEY DA, 1984, OCT INT C HARM POW S, P69
[6] DURBIN J, 1960, REV I STAT, V28, P238
[7] EBRON S, 1989, MAY AM POW C
[8] ENDO T, 1983, SEP CEGRE IFAC S CON
[9] PREDICTION OF POWER-SYSTEM HARMONICS DUE TO GASEOUS DISCHARGE LIGHTING
GRADY, WM
HEYDT, GT
[J]. IEEE TRANSACTIONS ON POWER APPARATUS AND SYSTEMS, 1985, 104 (03): : 554 - 561
[10] HAGAN M, 1977, 1977 IEEE PES SUMM M

← 1 2 3 →