电力系统保护与控制Issue(13)：116-121,6.
复杂网络的社团发现方法在电网分区识别中的应用研究
Study of power grid partition identification method based on community structure detection
摘要
Abstract
The traditional way of dividing the power grid is mainly based on geographical and administrative area, which often ignores the network’s structure and characteristics, however, power grid’s blackout always results from the partition lines. Community structure detection of complex network is used to identify the network’s topology partition by the connections between nodes and it has a familiar structure with power grid’s partition. This paper introduces the conceptions and evaluation indexs of community structure and the modularity Q function, comes up with a new power grid partition method based on community structure detecting. Four different kinds of weighted network models are built with grid tide and impedance data. The improved Louvain hierarchical algorithm is adopted to divide power grid and a practical improvement is made in partition process considering the real power grid’s characteristics. Through the community division results of IEEE 39, 118, 300 standard power grids and China southern power grid in different models, this method is proved to be effective and accurate.关键词
复杂网络/社团发现/电网分区Key words
complex network/community detection/power grid partition分类
信息技术与安全科学引用本文复制引用
潘高峰,王星华,彭显刚,武小梅..复杂网络的社团发现方法在电网分区识别中的应用研究[J].电力系统保护与控制,2013,(13):116-121,6.基金项目
广东省自然科学基金项目（10151009001000045）；广东省绿色能源技术重点实验室项目 （）
