基于Prony相对熵的故障投票选线新方法

A Novel Method of Fault Line Selection Based on Voting Mechanism of Prony Relative Entropy Theory

提出一种小电流接地系统故障选线方法。先采用Prony分段拟合故障后首个T/4周期内的暂态零序电流信号,再依据能量最大原则遴选出表征故障特征信息的暂态主导分量,然后求取各线路相对于其他线路的暂态主导分量相对熵,最后提出采用初步投票与k值校验的故障投票选线机制对Prony相对熵数值进行投票。结果表明,该方法不仅能准确判定出故障发生的线路,而且可提高故障选线结果的可信度。

A fault line selection method of small current to ground system was proposed in the essay. Firstly, Prony algorithm was used to fit the transient zero-sequence current signal in the first T/4 cycle ＇after fault occurs; secondly, transient dominant components with fault features were selected based on the principle of maximum energy; lastly, the voting mechanism which combines the preliminal7 vote with the k value checking was used to vote the Prony relative entropy value. It is proved that this method can not only accurately detect the fault line hut also improve the reliability of the results in fault line selection.