WANG JUNBO, LI HUI, QIU TAIHONG. Breakdown Fault Analysis of CVT Capacitor Elements Based on Data Mining. [J]. Power capacitor & reactive power compensation, 2019, 40(3): 96-100.
WANG JUNBO, LI HUI, QIU TAIHONG. Breakdown Fault Analysis of CVT Capacitor Elements Based on Data Mining. [J]. Power capacitor & reactive power compensation, 2019, 40(3): 96-100. DOI: 10.14044/j.1674-1757.pcrpc.2019.03.018.
Breakdown Fault Analysis of CVT Capacitor Elements Based on Data Mining
摘要
本文介绍了基于数据挖掘技术的电容式电压互感器(CVT)准实时在线监测系统构架
改系统中海量的CVT二次电压数据利用数据挖掘技术可以实现电容元件击穿的准实时监测
相比传统停电预防性试验更能够及时的发现潜在缺陷
在理论上对利用二次电压变化用于CVT电容元件击穿故障判别进行了分析
并通过一起典型案例的剖析验证了该方法的有效性
最后对CVT绝缘监督提出了建议。
Abstract
In this paper
the framework of system for CVT based on data mining technology is introduced.According to the secondary voltage data of CVT in the system
quasi real time on-line monitoring of capacitor breakdown can be achieved by the use of data mining technology which
compared to the traditional power off preventative test can find timely potential defect. The breakdown of CVT capacitance elements by using voltage variations is analyzed in theory. The effectiveness of the method is proved through an analysis of a typical case.Finally
two suggestions for CVT insulation monitoring are proposed.
Ultra High Voltage Branch of State Grid Jibei Electric Power Co, Ltd
State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, Department of Electrical and Electronic Engineering, North China Electric Power University
State Key Laboratory of Power System Operation and Control, Department of Electrical Engineering, Tsinghua University