摘要
电力系统中加入分布式电源,可有效减少其保护区域内用户的故障数量和持续时间,同时也可以改善系统的功率损耗及电压值。在考虑分布式电源基础上,结合重合闸装置,提出一种改进粒子群算法和层次分析法相结合的新方法,对二者容量、位置、数量同时进行优化配置。首先利用禁忌搜索机制改进粒子群算法,利用新的目标函数,对已知数量的分布式电源和重合闸装置进行位置和容量的分配。针对不同数量,可得到不同优化方案,当数量设置上限后,及可得到一组优化方案;针对此组方案,再结合层次分析法,充分考虑经济效益、电能质量等因素权重,确定分布式电源和重合闸装置的最终数量,从而得出最优方案。最后将该方法应用于33馈线分布式网络,通过仿真分析证明了所提出方法的有效性。
The appearance of Distributed Generation （DGs） in power systems may reduce the number and/or duration of interruptions for customer residing within their protection zones. DGs can also improve the losses and voltage profile of system. To optimize not only the allocations of distributed generators, but also the allocations of reclosers, a new method was proposed, which was composed of improved Particle Swarm Optimization Algorithm（PSO） and Analysis Hierarchical Process（AHP）. The proposed method used improved PSO algorithm for the optimal placement and capacity of DGs and reclosers in the network. And the AHP method was carried out for the optimal number of reclosers and DGs based on the factors such as the profit, the power quality and so on. This method was carded out on a 33 feeders IEEE distribution network. And simulation results validate the effectiveness of the proposed method.
出处
《系统仿真学报》
CAS
CSCD
北大核心
2013年第12期3057-3063,共7页
Journal of System Simulation
基金
黑龙江普通高等学校青年学术骨干支持计划项目(1055G04)
关键词
分布式电源
重合闸装置
粒子群算法
禁忌搜索算法
层次分析法
distributed generation
recloser
particle swarm optimization algorithm
tabu search algorithm
analysis hierarchical process
