An evolutionary optimization approach to track voltage and current harmonics in electrical power systems

被引：0

作者：

de Macêdo, RA ^{[1
]}

Da Silva, D ^{[1
]}

Coury, DV ^{[1
]}

Carneiro, AADM ^{[1
]}

机构：

[1] Univ Sao Paulo, Engn Sch Sao Carlos, Dept Elect Engn, BR-13566590 Sao Carlos, SP, Brazil

来源：

2003 IEEE POWER ENGINEERING SOCIETY GENERAL MEETING, VOLS 1-4, CONFERENCE PROCEEDINGS | 2003年

关键词：

Genetic algorithms; harmonic analysis; power systems;

D O I：

10.1109/PES.2003.1270508

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

Voltage and current waveforms of a distribution or transmission power system are not pure sinusoids. There are distortions in these waveforms that can be represented as a combination of the fundamental frequency, harmonics and high frequency transients. This paper presents a novel approach to identifying harmonics in power system distorted waveforms. The proposed method is based on Genetic Algorithms, which is an optimization technique inspired by genetics and natural evolution. GOOAL, a specially designed intelligent algorithm for optimization problems, was successfully implemented and tested. Two kinds of representations concerning chromosomes are utilized: binary and real. The results show that the proposed method is more precise than the traditional Fourier Transform, especially considering the real representation of the chromosomes.

引用

页码：1250 / 1255

页数：6

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