Multi-objective VAr Planning with SVC Using Immune Algorithm and Guaranteed Convergence Particle Swarm Optimization
نویسندگان
چکیده
In this paper, the ability of Immune Algorithm (IA) is investigated for VAr planning with the Static Var Compensator (SVC) in a large-scale power system. To enhance voltage stability, the planning problem is formulated as a multi-objective optimization problem for maximizing fuzzy performance indices. The multi-objective VAr planning problem is solved by the fuzzy IA and the results are compared with those obtained by the fuzzy Genetic Algorithm (GA) and fuzzy Guaranteed Convergence Particle Swarm Optimization (GCPSO).
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