Genetic algorithm based optimal self-tuning fuzzy logic power system VAR stabilizer

K. Burak Dalci, Mehmet Uzunoglu, Ibrahim B. Kucukdemiral

Research output: Contribution to journalArticle

Abstract

In this study, a novel method is proposed for the compensation of loads that vary frequently in time. The proposed scheme is based on the fuzzy logic controller (FLC) that is widely used in control of nonlinear processes. FLC architecture is used for regulating the gains of the basis Proportional-Integral (PI) as a self-tuning controller. On the other hand, the constant gains of the basis: PI controller are optimised by a genetic algorithm. Experimental results demonstrate that the proposed method shows better performance than that of the conventional PI controller.
Original languageEnglish
Pages (from-to)71-89
Number of pages19
JournalInternational Journal of Electrical Engineering Education
Volume41
Issue number1
DOIs
Publication statusPublished - 1 Jan 2004

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logic
Fuzzy logic
Tuning
Genetic algorithms
Controllers
performance
time

Keywords

  • Fuzzy logic controller (FLC)
  • genetic algorithims
  • PI controller
  • static VAR compensator

Cite this

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Genetic algorithm based optimal self-tuning fuzzy logic power system VAR stabilizer. / Dalci, K. Burak; Uzunoglu, Mehmet; Kucukdemiral, Ibrahim B.

In: International Journal of Electrical Engineering Education, Vol. 41, No. 1, 01.01.2004, p. 71-89.

Research output: Contribution to journalArticle

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