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

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

doi:10.7227/IJEEE.41.1.7

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

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

Instrumentation and Control

Research output: Contribution to journal › Article › peer-review

2 Citations (Scopus)

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 language	English
Pages (from-to)	71-89
Number of pages	19
Journal	International Journal of Electrical Engineering Education
Volume	41
Issue number	1
DOIs	https://doi.org/10.7227/IJEEE.41.1.7
Publication status	Published - 1 Jan 2004

Keywords

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

ASJC Scopus subject areas

Electrical and Electronic Engineering

Documents and Links

10.7227/IJEEE.41.1.7

Cite this

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title = "Genetic algorithm based optimal self-tuning fuzzy logic power system VAR stabilizer",

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.",

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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

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SN - 0020-7209

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ER -

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

Abstract

Keywords

ASJC Scopus subject areas

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