GSO算法在分布式电源选址与定容中的应用  

Location and Penetration of Distributed Generation Based on Group Search Optimizer

作　　者：周杨烯[1] 黎灿兵[1] 何禹清[2] 刘玙[1] 李龙[1] 曹一家[1] 

机构地区：[1]湖南大学电气与信息工程学院,长沙410082 [2]湖南省电力公司科学研究院,长沙410082

出　　处：《电力系统及其自动化学报》2012年第5期58-62,共5页Proceedings of the CSU-EPSA

摘　　要：针对分布式电源选址与定容在新型配电网规划中的问题,提出基于群搜索优化算法确定分布式电源接入配电网地址与容量的快速算法。定义了满足配电网节点拓扑结构的分支向量,并将分支向量搜索的更新新方法与群搜索优化算法结合。该方法将智能寻优与物理寻优相结合,提高了全局寻优效率。算例表明,该方法合理得到分布式电源接入配电网的最优位置和容量方案,减少了配电网网损,提高了整体电压水平。In order to solve the problem of location and penetration of distributed generation in distribution networks programming, a new method based on group search optimizer is proposed to confirm location and penetration of DG. A branch vector is defined to satisfy the topology configuration of distribution network, then the vector is combined with group search optimizer algorithm. The method combines intelligent optimization with physical optimization, improving the searching efficiency in the whole situation. Arithmetic indicates that we could obtain the optimal scenario of distributed generation connected to distribution network by the method, this scenario reduces power loss effectively and improves the overall voltage level.

关 键 词：分布式电源 配电网规划 地址 容量 

分 类 号：TM715[电气工程—电力系统及自动化]