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

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

Research output: Contribution to journal › Article

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

Dalci, K. Burak ; Uzunoglu, Mehmet ; Kucukdemiral, Ibrahim B. / Genetic algorithm based optimal self-tuning fuzzy logic power system VAR stabilizer. In: International Journal of Electrical Engineering Education. 2004 ; Vol. 41, No. 1. pp. 71-89.
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Dalci, KB, Uzunoglu, M & Kucukdemiral, IB 2004, 'Genetic algorithm based optimal self-tuning fuzzy logic power system VAR stabilizer', International Journal of Electrical Engineering Education, vol. 41, no. 1, pp. 71-89. https://doi.org/10.7227/IJEEE.41.1.7

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 journal › Article

TY - JOUR

T1 - Genetic algorithm based optimal self-tuning fuzzy logic power system VAR stabilizer

AU - Dalci, K. Burak

AU - Uzunoglu, Mehmet

AU - Kucukdemiral, Ibrahim B.

PY - 2004/1/1

Y1 - 2004/1/1

N2 - 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.

AB - 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.

KW - Fuzzy logic controller (FLC)

KW - genetic algorithims

KW - PI controller

KW - static VAR compensator

U2 - 10.7227/IJEEE.41.1.7

DO - 10.7227/IJEEE.41.1.7

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Dalci KB, Uzunoglu M, Kucukdemiral IB. Genetic algorithm based optimal self-tuning fuzzy logic power system VAR stabilizer. International Journal of Electrical Engineering Education. 2004 Jan 1;41(1):71-89. https://doi.org/10.7227/IJEEE.41.1.7

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