作　　者： ; ; ; ;

机构地区： 广东工业大学自动化学院

出　　处： 《电力系统保护与控制》 2013年第22期32-37,共6页

摘　　要： 传统无功分区和主导节点选取算法大多基于电网的无功电压灵敏度和聚类分析算法,往往存在分区内部无功不平衡和主导节点过于集中的问题。依据复杂网络理论中的社团结构划分算法原理,提出了基于连边相似权的电力系统网络建模,并引入电网无功平衡度来构造新的社团结构模块化指标以改进分区无功平衡性。利用复杂网络拓扑结构中节点度和节点介数等特征量改进了无功分区内主导节点选择指标和方法,提高主导节点选择的准确性。最后对IEEE-39节点网络进行无功分区和主导节点选择的算例分析,验证了所提指标和算法的有效性。 The traditional network partition and pilot nodes selection methods for reactive power / voltage control are mainly based on the reactive power - voltage sensitivity matrix and clustering algorithm, however, it causes the imbalance of the reactive power and over-intensive pilot nodes in some partitions. According to the community structure partitioning algorithm in complex network theory, power system network modeling based on similarity weight is proposed, and an improved community modular index is put forward to improve the balance of the reactive power by introducing the reactive power balance degree of the network partitions. Based on the concept of node degree and betweenness centrality in complex network theory, a novel pilot node selection method is presented, which is based on the rank of observability and controllability sensitivity and can evaluate the centrality of node. Applying the proposed index and method to IEEE 39-bus system, simulation results show the method＇s effectiveness.

关 键 词： 无功分区 主导节点选择 复杂网络理论 社团结构

领　　域： [电气工程]