基于灰色PSO算法的分布式电力潮流负荷容错调度方法  

The Method of Distributed Power Current Load Based on Grey PSO Algorithm

作　　者：徐之欣 顾凯玲 XU Zhixin;GU Kailing(State Grid Shanghai Electric Power Company Jinshan Power Supply Company,Shanghai 200540,China)

机构地区：[1]国网上海市电力公司金山供电公司,上海200540

出　　处：《通信电源技术》2022年第23期17-19,共3页Telecom Power Technology

摘　　要：为了提升负荷调度效果,提出一种基于灰色粒子群优化(Particle Swarm Optimization,PSO)算法的分布式电力潮流负荷容错调度方法。构建多项式负荷模型,以电力负荷最小为目标,建立随机最优潮流的目标函数,并设置约束条件。采用灰色粒子群算法求解分布式电力潮流负荷容错调度问题。通过算例分析可知,该方法能够有效降低电力负荷,实现“削峰填谷”的效果,提高电网的经济效益。In order to improve the load dispatching effect,a fault control method based on grey Particle Swarm Optimization(PSO)algorithm is proposed.The polynomial load model is constructed to establish the objective function of the random optimal power flow,and the constraints are set.Gray particle swarm algorithm is used to solve distributed power flow load.According to the example analysis,this method can effectively reduce the power load,realize the effect of“peak shifting and valley filling”,and improve the economic benefits of the power grid.

关 键 词：灰色粒子群优化(PSO)算法 功率潮流 负载容错调度 随机最优潮流 

分 类 号：TM715[电气工程—电力系统及自动化]