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Application of genetic algorithm with a self-tuning adaptive controller for design of power system stabilizer

Publish place: 22nd International Power System Conference
Publish Year: 1386
Type: Conference paper
Language: English
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Link to this Paper:
https://civilica.com/doc/31728

Document National Code:

PSC22_215

Index date: 5 May 2007

Application of genetic algorithm with a self-tuning adaptive controller for design of power system stabilizer abstract

This paper is investigated the effectiveness of using a genetic algorithm (GA) identifier in a self-tuning adaptive controller (STC). The controller design issue is formulated as an optimization problem that is solved via GA. IEEE second benchmark model is used for numerical simulation studies performed using MATLAB software. Behavior of the suggested adaptive GA power system stabilizer (GAPSS) shows more adequacies than conventional and classic PSS (CPSS).

Application of genetic algorithm with a self-tuning adaptive controller for design of power system stabilizer Keywords:

Self-tuning adaptive controller , power system stabilizer , genetic algorithm , electromechanical oscillations

Application of genetic algorithm with a self-tuning adaptive controller for design of power system stabilizer authors

Ajabi Farshbaf

Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran

Tousi

Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran

Tarafdar Haque

Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran

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