遗传灾变算法在配电网络重构中的应用  

Application of Genetic Catastrophic Algorithm to Power Distribution System Reconfiguration

作　　者：刘斌[1,2] 雷霞[1] 孔祥清[1] 刘庆伟[1] 刘秋榕[2] 

机构地区：[1]西华大学电气信息学院,成都610039 [2]福建省电力有限公司南平电业局,南平353000

出　　处：《电力系统及其自动化学报》2013年第2期31-35,共5页Proceedings of the CSU-EPSA

基　　金：国家自然科学基金项目(51007006);四川省科技厅科研基金(2009JY0139);四川省教育厅重点项目(11ZA002)

摘　　要：将灾变算法与遗传算法相结合,提出了应用于配电网络重构的遗传灾变算法。针对配电网的结构特征,采用基于邻接矩阵的供电孤岛验算方法,排除遗传操作后产生的不可行解,通过精英保留和动态控制变异算子,有效地解决了传统遗传算法的早熟收敛问题。应用所提出的算法对IEEE33节点系统和69节点系统进行了网络重构,并与传统遗传算法进行了比较,重构结果显示了遗传灾变算法的正确性、可行性和寻优突出性。Genetic catastrophic algorithm which inherits the advantages of catastrophic algorithm and genetic algorithm is presented for distribution network reconfiguration. According to the structure characteristics of distribution network, a power island checking method based on adjacency matrix is used to eliminate the unfeasible solutions after the genet- ic operation. Through the elite reserve and dynamic control mutation operator, the problem about the premature con- vergence of genetic algorithm is effectively solved. The proposed algorithm is applied to the IEEE 33-node system and 69-node system. Compared with the genetic algorithm, the reconfiguration results show the accuracy, feasibility and the outstanding optimization searching capability of the proposed genetic catastrophic algorithm.

关 键 词：遗传灾变算法 配电网络重构 邻接矩阵 供电孤岛 可行解 

分 类 号：TM715[电气工程—电力系统及自动化]