湖南大学学报(自然科学版)2018,Vol.45Issue(2):95-102,8.DOI:10.16339/j.cnki.hdxbzkb.2018.02.12
基于解空间高效编码的配电网重构连续化算法
Continuous Algorithm for Distribution Network Reconfiguration Based on Efficient Encoding of Solution Space
摘要
Abstract
This paper proposed a continuous algorithm for distribution network reconfiguration (DNR) based on efficient encoding of solution space.By estimating the exchange range of switch exchange through deduced approximate formula of network loss,the solution space was compressed and the efficiency of op-timization was improved.To avoid directly solving discrete variables,a double-population solution space including discrete variables and continuous variables solutions was established,which can reduce the a-mount of calculation and is suitable to apply continuous variable optimization method to solve DNR prob-lem.After reducing the radius of the confidence interval variables,two kinds of non-effective solutions were avoided,and the number of times of power flow calculation was also decreased.The improved criss-cross optimization algorithm improves the convergence speed and precision.Simulation results verify the correctness and effectiveness of the proposed algorithm.关键词
配电网重构/连续化优化算法/编码/解空间/纵横交叉算法Key words
distribution network/ontinuous optimization algorithm/coding/solution space/crisscross optimization algorithm分类
信息技术与安全科学引用本文复制引用
江亚群,罗春辉,江辉,黄纯..基于解空间高效编码的配电网重构连续化算法[J].湖南大学学报(自然科学版),2018,45(2):95-102,8.基金项目
国家自然科学基金资助项目(51677060),National Natural Science Foundation of China(51677060) (51677060)
广东省自然科学基金资助项目(2016A030313041),Natural Science Foundation of Guangdong Province(2016A030313041) (2016A030313041)
深圳市国际合作研究项目(GJHZ20150313093836007),Shenzhen International Cooperation Research Project(GJHZ20150313093836007) (GJHZ20150313093836007)