To solve the problem of power system reactiveoptimization efficiently, a new method, which combines particle swarm optimization algorithm with dynamic weight, was presented. The improved PSO algorithm, which is based...
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ISBN:
(纸本)9781846260681
To solve the problem of power system reactiveoptimization efficiently, a new method, which combines particle swarm optimization algorithm with dynamic weight, was presented. The improved PSO algorithm, which is based on dynamic weight, is simple in application and quick in convergence. The weight is changed in every loop according to the swarm evolution degree and aggregation degree factor, which ensures population diversity and avoids premature convergence effectively. Then the algorithm is applied in reactiveoptimization of power system, compared with PSO, the optimization result s of IEEE-30-bus show that the algorithm has a good stable searching capacity and good parallel efficiency.
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