关键词: 风光互补发电系统, 粒子群算法, 混沌局部搜索, 优化配置

Abstract: In order to improve the reliability of wind-light generation system and reduce the operation cost, a configured optimization method of wind-light generation system based on knowledge fusion particle swarm optimization (PSO) algorithm is presented, in which the optimization target is minimizing system installing cost and the constraint condition is power supply reliability. Firstly, in allusion to the limitation of local convergence of particle swarm optimization, using chaotic local PSO algorithm to improve its convergence; Then, clustering particle swarm using a simple method if the particle did not jump out of local optimum, and searching the global optimal particle meticulously according to the position of cluster center that optimizing the population which composed of the objective function value. Finally, the experimental results on 5 Benchmark test functions and optimizing configuration of wind-light generation system show that the effectiveness and applicability of the proposed method.

Key words:  Wind-light generation system, PSO algorithm, chaotic local searching, optimizing configuration