摘要
文中提出一种混沌蝙蝠算法(Chaotic Bat Algorithm,CBA)求解含分布式发电(Distributed Generation,DG)的配电网无功优化问题。CBA算法在基本蝙蝠算法(Bat Algorithm,BA)的基础上,采用Tent混沌映射初始化蝙蝠位置和更新脉冲发射率以提高全局收敛性,同时动态自适应更新蝙蝠速度以增加种群多样性。采用CBA算法对含DG接入的IEEE 33节点系统进行无功优化分析,计算结果验证了所提算法的有效性和优越性。
A chaotic bat algorithm(CBA)is proposed to solve the reactive power optimization of distribution network with distributed generation(DG).Based on the basic bat algorithm(BA),CBA algorithm implements Tent chaotic mapping to initialize the position of bat and update the pulse emission rate,which can improve the global convergence.In addition,the velocity of bat is updated dynamically by using adaptive weighting method,which can enhance the diversity of population.The CBA algorithm is adopted to analyze the reactive power optimization of IEEE 33-node system with the access of DG access,and the simulation results demonstrate the effectiveness and superiority of the proposed algorithm.
作者
崔崇雨
朱瑞金
龚雪娇
Cui Chongyu;Zhu Ruijin;Gong Xuejiao(School of Electrical Engineering,Tibet Agriculture&Animal Husbandry University,Nyingchi 860000,Tibet,China)
出处
《电测与仪表》
北大核心
2021年第10期95-100,共6页
Electrical Measurement & Instrumentation
基金
西藏自治区自然科学基金项目(XZ2018ZRG-24(Z))。
关键词
分布式发电
配电网
无功优化
混沌蝙蝠算法
TENT映射
distributed generation
distribution network
reactive power optimization
chaotic bat algorithm
Tent mapping
作者简介
崔崇雨(1985-),男,讲师,从事电能质量方面的研究。Email:cuichongyu@163.com;朱瑞金(1986-),男,讲师,从事智能电网方面的研究。Email:zhuruijin1986@sohu.com;龚雪娇(1988-),女,讲师,从事智能电网方面的研究。Email:121423914@qq.com。
