Searching for just a few words should be enough to get started. If you need to make more complex queries, use the tips below to guide you.
Issue title: SBRN'02
Article type: Research Article
Authors: Macêdo, Renata A. | da Silva-Filho, Donato | Coury, Denis V. | Carneiro, Adriano A.F.M. | de Carvalho, André C.P.L F.
Affiliations: Electrical Engineering Department, Engineering School of São Carlos, University of São Paulo, Av. Trabalhador São-Carlense, 400, 13566-590, São Carlos, SP, Brazil. E-mail: {rmacedo, donato, coury, adriano}@sel.eesc.sc.usp.br | Computer Science Departament, Institute of Mathematics and Computer Science, P.O. Box 668,13560-970 São Carlos, SP, Brazil. E-mail: [email protected]
Abstract: The presence of voltage and current waveform distortion is generally expressed in terms of harmonic frequencies. These distortions are not appreciated because they are responsible for equipment misoperation and damage. The potential harmonic effects on power equipment and system operation have become a concern for utilities. As a consequence, harmonics can no longer be ignored in industrial power. Therefore, precise harmonic identification is a very important task in order to eliminate these undesirable effects. 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 were utilized: binary and real. The results obtained show that the proposed method is more precise than the traditional Fourier Transform, especially considering the real representation of the chromosomes.
Journal: Journal of Intelligent & Fuzzy Systems, vol. 13, no. 2-4, pp. 167-175, 2002/2003
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
USA
Tel: +1 703 830 6300
Fax: +1 703 830 2300
[email protected]
For editorial issues, like the status of your submitted paper or proposals, write to [email protected]
IOS Press
Nieuwe Hemweg 6B
1013 BG Amsterdam
The Netherlands
Tel: +31 20 688 3355
Fax: +31 20 687 0091
[email protected]
For editorial issues, permissions, book requests, submissions and proceedings, contact the Amsterdam office [email protected]
Inspirees International (China Office)
Ciyunsi Beili 207(CapitaLand), Bld 1, 7-901
100025, Beijing
China
Free service line: 400 661 8717
Fax: +86 10 8446 7947
[email protected]
For editorial issues, like the status of your submitted paper or proposals, write to [email protected]
如果您在出版方面需要帮助或有任何建, 件至: [email protected]