基于故障起点检测的电力系统故障数据匹配方法

An approach to data matching in power system based on a combination algorithm for detection of signal singularity

针对故障信息系统数据进行双端测距时所面临的数据匹配问题,研究故障线路两端匹配数据内在特征的关联性,提出基于数据匹配技术的故障类型判据、负荷电流判据与合闸角判据,通过这三重判据的联动提高数据匹配的可靠性。结合贝叶斯分类算法与突变量电流检测算法各自的优缺点,设计一种突变点检测组合算法,能准确求取相关判据参数,实现故障起点检测。仿真算例表明:在不同故障状态下,突变点检测组合算法具有很好的检测精度与抗干扰能力;运用三重判据进行故障数据匹配具有良好的可靠性。

According to the failure of data matching in fault information system when the failure data are used for double-terminal fault location, the relevance of intrinsic characteristics for matched data was studied. And the fault type criterion, the load current criterion and the closing angle criterion were proposed. The reliability of the matching method was increased by the combined action of the triple criterion. A combination algorithm for detection of signal singularity was designed combining the advantages of the Bayesian classification algorithm and the current mutation detection algorithm. It can accurately obtain the criterion parameters and realize the fault starting point detection. The simulation results show that under the different fault conditions, the accuracy and the anti-jamming capability of the combination algorithm have good performance. In addition, the reliability of the triple criterion for data matching is satisfactory.