Optimal Design of Fuzzy Based Power System Stabilizer Self Tuned by Robust Search Algorithm

In the interconnected power system network, instability problems are caused mainly by the low frequency oscillations of 0.2 to 2.5 Hz. The supplementary control signal in addition with AVR and high gain excitation systems are provided by means of Power System Stabilizer (PSS). Conventional power sys...

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Bibliographic Details
Published inarXiv.org
Main Authors Linda, M Mary, N Kesavan Nair
Format Paper
LanguageEnglish
Published Ithaca Cornell University Library, arXiv.org 23.12.2009
Subjects
Ant colony optimization
Computer simulation
Damping
Fuzzy control
Fuzzy logic
Fuzzy systems
Genetic algorithms
High gain
Optimization techniques
Production scheduling
Search algorithms
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Summary:In the interconnected power system network, instability problems are caused mainly by the low frequency oscillations of 0.2 to 2.5 Hz. The supplementary control signal in addition with AVR and high gain excitation systems are provided by means of Power System Stabilizer (PSS). Conventional power system stabilizers provide effective damping only on a particular operating point. But fuzzy based PSS provides good damping for a wide range of operating points. The bottlenecks faced in designing a fuzzy logic controller can be minimized by using appropriate optimization techniques like Genetic Algorithm, Particle Swam Optimization, Ant Colony Optimization etc.In this paper the membership functions of FLC are optimized by the new breed optimization technique called Genetic Algorithm. This design methodology is implemented on a Single Machine Infinite Bus (SMIB) system. Simulation results on SMIB show the effectiveness and robustness of the proposed PSS over a wide range of operating conditions and system configurations.
ISSN:2331-8422