基于人工鱼群和粒子群混合算法的配电网重构

Based on Artificial Fish and Hybrid Algorithm for Distribution Network Reconfiguration

配电网重构是优化配电系统运行的重要手段,提出人工鱼群和粒子群混合优化算法,该算法综合利用人工鱼群算法的良好全局收敛性和粒子群算法的局部快速收敛性、易实现性等优点,克服人工鱼群算法收敛速度慢及粒子群算法后期全局收敛差的缺点,发挥了两者的优越性,并成功应用于配电网重构;最后通过对IEEE33节点系统算例的仿真,取得了较好的效果,证明了该混合算法的有效性和可行性。

Optimization of distribution network reconfiguration is an important means of distribution system op- eration, In this paper, artificial fish and particle swarm hybrid optimization algorithm is a good utilization of ar- tificial fish school algorithm global convergence and local PSO fast convergence and easy implementation of the advantages and overcome the slow convergence of artificial fish and Global convergence PSO shortcomings of poor post-play the advantages of both,and successfully applied to distribution network reconfiguration;Finally, an example of the IEEE33 bus system simulation, and achieved good results, show that the hybrid algorithm The effectiveness and feasibility.