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基于小波变换改进阈值函数的故障行波去噪方法 被引量:5

Denoising Method of Fault Traveling Wave Based on Wavelet Transform and Improved Threshold Function
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摘要 行波法故障定位中存在行波信号易受噪声干扰而使得故障特征不易提取的问题。为了提高故障定位精度,需对受噪声干扰的故障行波去噪,准确提取故障特征。根据故障行波中的噪声特性,提出了基于小波变换的改进去噪阈值函数,并结合故障行波特性,选取最优小波基,对故障行波进行去噪。在PSCAD/EMTDC仿真软件中搭建电磁暂态仿真模型分析了故障行波的时频域特征,在配电线路中对所提方法进行仿真验证。同时,利用实际配电线路故障行波测量数据验证了方法的有效性。 In the fault location of traveling wave method,the traveling wave signal is susceptible to noise interference,which encumbers the extraction of fault characteristics.In order to improve the accuracy of fault location,it is necessary to denoise the fault traveling wave and accurately extract the fault characteristics.According to the noise characteristics of the fault traveling wave,an improved denoising threshold function based on wavelet transform is proposed.By combining the function with the characteristics of the fault traveling wave and selecting the optimal wavelet base,the denoise of the fault traveling wave is realized.The time-frequency domain characteristics of the fault traveling wave are analyzed based on an electromagnetic transient simulation model established via PSCAD/EMTDC simulation software,and the proposed method is simulated and verified in the distribution line.Moreover,the effectiveness of the method is verified by using measurement data of fault traveling wave of a practical distribution line.
作者 邢挺 范增盛 马君梁 王文涛 赵一 XING Ting;FAN Zengsheng;MA Junliang;WANG Wentao;ZHAO Yi(China Railway Qinghai-Tibet Group Co.,Ltd.,Xining 810007,China;Ordos Southern Railway Co.,Ltd.,Hohhot 010020,China;Xi′an Jiaotong University,Xi′an 710115,China)
出处 《电工技术》 2023年第17期37-43,共7页 Electric Engineering
关键词 故障定位 阈值去噪 小波变换 行波 fault location threshold denoising wavelet transform traveling wave
作者简介 邢挺(1979-),高级工程师,研究方向为铁路牵引供电;范增盛(1981-),研究方向为铁路供电;马君梁(1991-),研究方向为电气工程及其自动化;王文涛(1982-),研究方向为铁路牵引供电;赵一(1997-),硕士研究生,研究方向为电力系统继电保护。
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