利用数据融合技术提升输电线路故障定位精度的新方法

A Novel Method to Improve the Fault Location Accuracy in Transmission Line Based on Data Fusion Technology

输电线路故障的快速准确定位对于电力系统的安全运行具有重要的意义。目前,不同的故障定位原理被广泛地应用于电力系统的变电站中,由于其在故障后所给出的故障位置并不一致,运维检修人员对相互冲突的测距结果无所适从,影响了故障的快速恢复。该文利用输电线路两端变电站中距离继电器的测距结果,基于多源数据融合技术,提出一种提升输电线路故障定位精度的新方法,该方法利用线路两端距离继电器的测距结果和故障录波装置中的电气量数据,采用加权系数的数据融合方法,通过解析求解,对两端距离继电器的测距结果进行数据融合来获得一个精度更高的定位结果。电磁暂态仿真和现场录波数据验证了所提出方法的有效性,结果表明,该方法能够基于变电站现有信息提高故障定位精度,无需额外的设备投资,无需数据同步,不受过渡电阻、负荷电流和故障初始角度的影响,具有良好的经济性和实用性。

Fast and accurate fault location in transmission lines is important for the security of power system. Nowadays, different fault location algorithms are widely used in substations of power system. As fault location results of these algorithms are inconsistent, operators cannot analyze the conflicting results quickly and precisely, which influences fast restoration of fault. In this paper, based on multi-sources data fusion technology, a novel method to improve the fault location accuracy was proposed by using the fauk location results from distance relays installed in two ends of transmission line. The method derived the fault location results and electrical signals from distance relays and fault recorders. Data fusion of weighting coefficient was used to fuse the two fault location results via analytical derivation in order to get a higher accuracy result. The proposed method was verified through EMTDC simulation and field data. The results show that the method can improve the fault location accuracy based on available information in substations. The method does not require extra equipment investment and is not affected by data asynchronization, fault resistance, load current and fault inception angle. It is proved to be economical and practical.