朱艳, 王渝红, 李兴源, 欧林, 丁志林, 范强. 换流器故障在线监测电气量及其诊断系统[J]. 现代电力, 2014, 31(6): 53-58.
引用本文: 朱艳, 王渝红, 李兴源, 欧林, 丁志林, 范强. 换流器故障在线监测电气量及其诊断系统[J]. 现代电力, 2014, 31(6): 53-58.
ZHU Yan, WANG Yuhong, LI Xingyuan, OU Lin, DING Zhilin, FAN Qiang. The Online Monitoring of Electric Quantities and Its Diagnosis System for Converter Fault[J]. Modern Electric Power, 2014, 31(6): 53-58.
Citation: ZHU Yan, WANG Yuhong, LI Xingyuan, OU Lin, DING Zhilin, FAN Qiang. The Online Monitoring of Electric Quantities and Its Diagnosis System for Converter Fault[J]. Modern Electric Power, 2014, 31(6): 53-58.

换流器故障在线监测电气量及其诊断系统

The Online Monitoring of Electric Quantities and Its Diagnosis System for Converter Fault

  • 摘要: 利用故障信号能量变化率量化换流器各类故障的电气特征,表征换流器故障信号相对于正常状态的变化情况。根据各电气量变化情况的不同,选择出能有效定位和诊断换流器各类故障的在线监测电气量。将各在线监测电气量的能量变化率与零进行比较,得到换流器不同故障情况下,各在线监测电气量逻辑编码值。利用编码值的不同,再结合统计学知识,提出换流器故障在线监测诊断系统。仿真结果表明,该系统能准确有效地定位和诊断出换流器各类故障,且不受系统运行方式和故障过渡电阻的影响。

     

    Abstract: The electrical characteristics of converter faults are quantified according to energy changing rate of fault signals, which characterize the variation of converter fault signal relative to that of normal state. According to the different variation of each electric quantity, the online monitoring electrical quantities that can localize and diagnose all kinds of converter faults effectively are determined. By comparing the energy changing rate of online monitoring electric quantities with zero, the logic code value of each online monitoring electric quantity is obtained in different converter faults. According to the different logic code values, online monitoring and diagnosis system of converter fault is presented by combing statistic knowledge. The simulation results show that the system can accurately localize and diagnose all kinds of converter faults, which are not influenced by system operation mode and transient resistance.

     

/

返回文章
返回