一种基于录波启动信息的电网故障诊断特征向量中心性方法

A Eigenvector Centrality Method for Fault Diagnosis of Power Grid Based on Recording Starting Data

摘要:

文中提出了一种根据故障录波启动信息进行图信号建模，并基于网络节点特征向量中心性算法的电网故障诊断方法。首先，从继电保护及故障信息主站的故障录波启动信息构建故障启动信息网络图；其次，利用图平滑性分析方法判断电网是否发生故障及识别故障类型；最后，基于网络节点特征向量中心性算法识别故障元件，并进行可视化展示。仿真验证了所提算法的有效性。该方法作为录波智能故障分析的一部分，有助于快速掌握电网故障情况，并有重点地收集录波数据进行故障分析和校核，提高录波分析效率。

Abstract:

The graph signal modeling is carried out based on fault recording starting message, and based on the improved eigenvector centrality algorithm, the diagnosis method for power grid fault is proposed. Firstly, the fault wave network diagram is constructed according to the fault recording starting message of relay protection and fault recording master station. Secondly, the analysis method of graph smoothness is used to judge whether the fault occurs and to identify the fault type. Finally, based on the improved eigenvector centrality algorithm, the fault component is identified and visually displayed. The validity of the proposed algorithm is verified by simulation, which is helpful for the regulators to quickly analyze and judge the situation of grid fault and to collect the important fault recording data for analysis and checking so as to improve the efficiency of recording analysis.