基于共同因子法和阈值法的局部放电去噪方法

Partial Discharge Denoising Method Based on Common Factor and Threshold Method

局部放电(Partial Discharge,PD)会使电气设备绝缘性能下降,影响电气设备的正常运行,威胁电力系统的安全稳定性。因此,需要对关键电气设备进行PD在线监测。然而,现场测量得到的PD信号往往会被白噪声污染,所以PD去噪非常必要。提出使用共同因子法来构成双树复小波,同时利用邻近小波系数阈值法对PD信号进行去噪。最后,通过对基准数据进行计算验证,并与传统的去噪方法的结果进行对比,证明本文所提方法的有效性和优越性。

Partial discharge(PD)will degrade the insulation of electrical equipment,affect the normal operation of electrical equipment,and further threaten the security and stability of power system.Therefore,PD on⁃line monitoring of key electrical equipment is needed.However,the PD signal obtained from field measurement is often contaminated by white noise,so PD denoising is very necessary.In this paper,the common factor method was used to construct the dual⁃tree complex wavelet,and the neighboring wavelet coefficient threshold method was used to denoise the PD signal.Through the calculation of benchmark data,and compared with the results of traditional denoising methods,the effectiveness and superiority of the proposed method were proved.