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Article Information:
Fuzzy Sliding Mode Control Design and Particle Swarm Optimization Based PSS for Multimachine Power System
Khaddouj Ben Meziane, Faiza Dib and Boumhidi Ismail
Corresponding Author: Khaddouj Ben Meziane
Submitted: March 13, 2014
Accepted: April 11, 2014
Published: July 10, 2014 |
Abstract:
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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.
Key words: Fuzzy logic, multimachine power system, particle swarm optimization algorithm, power system stabilizer, sliding mode control, stability,
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Cite this Reference:
Khaddouj Ben Meziane, Faiza Dib and Boumhidi Ismail, . Fuzzy Sliding Mode Control Design and Particle Swarm Optimization Based PSS for Multimachine Power System. Research Journal of Applied Sciences, Engineering and Technology, (2): 188-196.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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