摘要
目前电流二次回路检测主要以红外测温和电流互感器二次负载离线检测为主,电流二次回路故障发生后,现场处理仍然依靠人工检测排查,无法及时有效识别并定位二次回路故障。提出基于多维Hausdorff距离算法的站域电流回路故障检测方法,利用电流互感器同源性数据传输的特点,通过检测分析不同装置内采集到的电流二次采样数据,考虑电气量特征时间序列变化的有序性及运动性,检测出二次电流回路异常。实例分析表明,该方法可以有效定位并识别检测电流回路二次接地故障。
At present,the detection of the current secondary circuit of substations mainly focuses on infrared temperature measurement and the off-line detection of the secondary load of the current transformer.After a current secondary circuit fault occurs,the on-site processing still relies on manual inspection and troubleshooting,and the fault cannot be effectively identified and located.Therefore,a multi-dimensional Hausdorff distance algorithm is proposed to detect the faults of the secondary circuit in the station area.Considering the order and movement of the electrical quantity characteristic time series changes,the characteristics of the current transformer homology data transmission of different windings are used to find out the abnormal characteristic quantities of the secondary sampling data.The case analysis shows that the proposed method can effectively identify and detect the current secondary circuit fault.
作者
南东亮
王维庆
赵启
冯长有
张路
周杰
NAN Dongliang;WANG Weiqing;ZHAO Qi;FENG Changyou;ZHANG Lu;ZHOU Jie(School of Electrical Engineering,Xinjiang University,Urumqi 830047,Xinjiang,China;Electric Power Research Institute of State Grid Xinjiang Electric Power Co.,Ltd.,Urumqi 830011,Xinjiang,China;National Electric Power Dispatching and Control Center,State Grid Corporation of China,Beijing 100031,China)
出处
《电网与清洁能源》
北大核心
2021年第11期63-71,共9页
Power System and Clean Energy
基金
国家自然科学基金项目(52067020)。
