基于信息熵权和层次分析法的电网关键节点识别

Identification for Critical Nodes of Power Grid Based on Information Entropy Weight and Analytic Hierarchy Process

在极端天气下电网关键节点的故障可能会引发大面积停电,而识别出电网关键节点并对其进行保护对提高电网运行的可靠性具有重要的意义。基于此,提出了基于信息熵权和层次分析法(analytic hierarchy process,AHP)的电网关键节点的识别方法。该方法根据复杂网络理论和电网运行参数提出了评价电网关键节点的特性指标,接着通过各节点的客观信息获得信息熵权,并通过层次分析法获得专家权重;同时利用优劣解距离法将电网各节点按照重要程度进行排序。采用新英格兰10机39节点系统验证所提出方法的有效性与实用性。

Faults of critical nodes of the power grid in extreme weather may cause large area blackout, it is important to i- dentify critical nodes and adopt protection measures for improving operational reliability of the power grid. Therefore, this paper proposes an identification method based on information entropy weight and analytic hierarchy process （AHP）. This method firstly presents characteristic index for evaluating critical nodes of the power grid according to complex network the- ory and operational parameters of the power grid, and then obtains information entropy weight based on objective informa- tion of nodes as well as acquires expert weight by means of AHP. Furthermore, it uses technique for order preference by similarity to sort nodes according to importance degrees. The New England 39-bus power system is used for verifying effec- tiveness and practicability of the proposed method.