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GSO算法在分布式电源选址与定容中的应用

周杨烯 黎灿兵 何禹清 刘玙 李龙 曹一家

电力系统及其自动化学报2012,Vol.24Issue(5):58-62,5.
电力系统及其自动化学报2012,Vol.24Issue(5):58-62,5.

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

周杨烯 1黎灿兵 1何禹清 2刘玙 1李龙 1曹一家1

作者信息

  • 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
  • 折叠

摘要

Abstract

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

Key words

distributed generation(DG)/ distribution networks programming/ location/ penetration

分类

信息技术与安全科学

引用本文复制引用

周杨烯,黎灿兵,何禹清,刘玙,李龙,曹一家..GSO算法在分布式电源选址与定容中的应用[J].电力系统及其自动化学报,2012,24(5):58-62,5.

电力系统及其自动化学报

OA北大核心CSCDCSTPCD

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