Research Article | OPEN ACCESS
Fuzzy Sliding Mode Control Design and Particle Swarm Optimization Based PSS for Multimachine Power System
Khaddouj Ben Meziane, Faiza Dib and Boumhidi Ismail
Department of Physics, Faculty of Sciences, LESSI Laboratory, University of Sidi Mohammed Ben Abdellah, Dhar Mehraz, Fez, Morocco
Research Journal of Applied Sciences, Engineering and Technology 2014 2:188-196
Received: March 13, 2014 | Accepted: April 11, 2014 | Published: July 10, 2014
Abstract
The aim of this study is to design nonlinear robust controllers for multimachine power systems. A technique for the optimal tuning of Power System Stabilizer (PSS) by integrating the Particle Swarm Optimization (PSO) combined with the Fuzzy Sliding Mode Control (FSMC) is proposed in this study. The fuzzy tuning schemes are employed to improve control performance and to reduce chattering in the sliding mode. The objective of this method is to enhance the stability and the dynamic response of the multimachine power system operating in different operating conditions. In order to test the effectiveness of the proposed method, the simulation results show the damping of the oscillations of the angle and angular speed with reduced overshoots and quick settling time.
Keywords:
Fuzzy logic, multimachine power system, particle swarm optimization algorithm, power system stabilizer, sliding mode control, stability,
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Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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ISSN (Online): 2040-7467
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