Abstract
The basic PSO algorithm is a simple and rapid method, using evolution and calculation. However, the convergence precision of the basic PSO algorithm is low, and the algorithm can easily fall into its local maximum value. In order to overcome these disadvantages, an MPSO (modified particle swarm optimization) algorithm is proposed. The MPSO algorithm combines a mutation operator and a dynamically adjusted inertial factor which are respectively borrowed from different references. A group of optimal parameters are obtained based on experiments, then the algorithm adopts different parameters in different systems to meet the different demands. We test this MPSO algorithm on IEEE-6-bus system and IEEE-14-bus system. Compared with the basic PSO algorithm, the algorithm of MPSO performs better, and the convergence precision of the MPSO algorithm has been greatly improved.
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