改进特征向量中心性小电流接地故障选线方法

Fault Line Selection for Small Current Grounding Based on Inmproved Eigenvector

为提高小电流接地系统利用故障暂态特征实现选线的准确率和抗过渡电阻能力,提出一种基于改进特征向量中心性的故障选线方法。首先,以暂态零序电流有效值为故障特征量,将配电网建模为接地故障网络。然后,通过改进特征向量中心性算法计算网络中各节点的重要度。最后,根据各节点的重要度大小筛选故障线路。仿真结果表明,上述算法实现简单且不受中性点接地方式、过渡电阻、故障位置等复杂因素影响,具有较强的可靠性与实用性。并对比传统的特征向量中心性、接近中心性以及介数中心性算法,上述算法更能准确地判别故障线路。

In order to improve the accuracy of fault line selection and the ability to resist transient resistance in small current grounding systems using fault transient characteristics,a fault line selection method based on improved feature vector centrality is proposed.Firstly,the distribution network was modeled as a grounding fault network with the effective value of transient zero sequence current as the fault characteristic.Then,the contribution of each node to the network was calculated by improving the centrality algorithm of eigenvectors.Finally,fault lines were filtered according to the contribution degree of each node.The simulation results show that the algorithm is simple and not affected by complex factors such as neutral grounding mode,transition resistance and fault location,and has strong reliability and practicality.Compared with the traditional eigenvector centrality,closeness centrality and betweenness centrality algorithms,this algorithm can identify fault lines more accurately.