A fuzzy-expert system for classifying power quality disturbances

被引：90

作者：

Liao, Y

Lee, JB

机构：

[1] ABB USCRC, Raleigh, NC 27606 USA

[2] Wonkwang Univ, Dept Elect Elect & Informat Engn, Iksan 570749, Jeonbuk, South Korea

来源：

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS | 2004年 / 26卷 / 03期

关键词：

fuzzy-expert system; power quality disturbance classification; wavelet analysis; artificial neural network;

D O I：

10.1016/j.ijepes.2003.10.012

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 fuzzy-expert system for automated detection and classification of power quality disturbances. The types of concerned disturbances include voltage sags, swells, interruptions, switching transients, impulses, flickers, harmonics, and notches. It is assumed that the analyzed waveforms are available in sampled form. Fourier transform and wavelet analysis are utilized to obtain unique features for the waveforms. A fuzzy-expert system is designed for making a decision regarding the type of the disturbance. Simulation studies are presented to verify the accuracy of the proposed approach. Comparison studies between an Artificial Neural Network based classification technique and the proposed approach are also reported to show the advantages of the proposed approach. (C) 2004 Elsevier Ltd. All rights reserved.

引用

页码：199 / 205

页数：7

共 10 条

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