关键词：
配电网重构;分布式电源;人工蜂群算法;混合蛙跳思想
摘 要：
配电网重构属于非线性多目标优化问题,文章中建立了以网络损耗与节点电压偏差最小为目标的含分布式电源的配电网重构模型,并运用并行人工蜂群算法进行了求解,得到了兼顾网络损耗与节点电压偏差的最优网络拓扑模型。本章中采用了基于环网的编码方式,减少了算法寻优过程中不可行解的产生,提升了算法效率;通过引入混合蛙跳思想的进化方式,使种群的新个体得以生存,加强了种群的进化能力,使算法的全局搜索能力得到提高。将并行人工蜂群算法应用于IEEE33节点配电系统,运用MATLAB软件对加入分布式电源后的配电网的重构模型进行了仿真分析,与其他算法进行比较,网络损耗减少17. 5%,最低点电压升高14. 3%,仿真结果验证了并行人工蜂群算法的有效性。
译 名：
DISTRIBUTION NETWORK RECONFIGURATION WITH DG BASED ON PARALLEL ARTIFICIAL BEE COLONY ALGORITH
作 者：
JIA Yongchen;GE Lijuan;JIE Zhizhong;GE Yaolin;College of Mechanical and Electrical Engineering,Inner Mongolia Agricultural University;
关键词：
Distribution network reconfiguration;;distributed generation;;artificial bee colony algorithm;;shuffled frog leaping theory
摘 要：
Distribution network reconfiguration is a non-linear multi-objective optimization problem. In this paper,a distribution network reconfiguration model with distributed generation is established,which aims at minimizing network loss and node voltage deviation. Parallel artificial bee colony algorithm is used to solve the problem. The optimal network topology model considering network loss and node voltage deviation is obtained.. In this chapter,we adopt the encoding method based on ring network,which reduces the generation of infeasible solutions and improves the efficiency of the algorithm. By introducing the evolutionary method of the mixed frog leap idea,the new individuals of the population can survive,the evolutionary ability of the population is strengthened,and the global search ability of the algorithm is improved. Parallel artificial bee colony algorithm is applied to IEEE33 node distribution system. The reconfiguration model of distribution network with distributed generation is simulated and analyzed by using MATLAB software. Compared with other algorithms,the network loss is reduced by 17. 5%,the lowest voltage is increased by 14. 3%. The simulation results verify the effectiveness of parallel artificial bee colony algorithm.
