摘要
GIS运行中发生的绝缘缺陷已严重威胁着电力系统的安全运行。GIS内可能因生产制造或长期运行中出现的潜伏性异物而导致不同程度的局部放电,长期放电会引起设备绝缘劣化,如果不能及时发现和处理,甚至会造成击穿或闪络,引发严重后果。所以,需要对局部放电进行监测。但局放信号容易受到外部信号的干扰,使得监测到的信号不准确,本文从信号去噪和识别的角度考虑,引入HHT和Prony算法。首先对监测到的局放信号进行去噪,然后对去噪的信号进行识别,与正常信号进行对比,得到局放信号的信号特征,从而进行有效的故障识别。
Insulation defects in the operation of GIS have seriously threatened the safe operation of the power system.Different degrees of partial discharge may be caused by latent foreign objects in the GIS during production or long-term operation.Long-term discharge will cause equipment insulation deterioration.If it cannot be detected and handled in time,it may even cause breakdown or flashover,resulting in serious consequences.Therefore,it is necessary to monitor partial discharge,but the partial discharge signal is easily interfered by external signals,which makes the monitored signal inaccurate.In this paper,HHT and Prony algorithms are introduced from the perspective of signal denoising and identification.First,de-noise the monitored PD signal,then identify the de-noised signal,compare it with the normal signal,and obtain the signal characteristics of the PD signal,so as to carry out effective fault identification.
作者
陈华冬
劳帮壮
王亚四
农正军
陈崇敬
CHEN Hua-dong;LAO Bang-zhuang;WANG Ya-si;NONG Zheng-jun;CHEN Chong-jing(Huaneng Haikou Power Inc,Haikou 570100,China)
出处
《电气开关》
2023年第2期31-34,共4页
Electric Switchgear
