Journal
JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY
Volume 6, Issue 2, Pages 182-191Publisher
SPRINGER SINGAPORE PTE LTD
DOI: 10.5370/JEET.2011.6.2.182
Keywords
Genetic algorithm; FACTS; SSSC; Particle swarm optimization
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Genetic algorithms (GA) and particle swarm optimization (PSO) are the most famous optimization techniques among various modem heuristic optimization techniques. These two approaches identify the solution to a given objective function, but they employ different strategies and computational effort; therefore, a comparison of their performance is needed. This paper presents the application and performance comparison of the PSO and GA optimization techniques for a static synchronous series compensator-based controller design. The design objective is to enhance power system stability. The design problem of the FACTS-based controller is formulated as an optimization problem, and both PSO and GA optimization techniques are employed to search for the optimal controller parameters.
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