基于EMD和改进阈值去噪的故障行波定位方法

Bai Hao, Li Wei, Cai Jianyi, Zeng Xiangjun, Jiang Zhuang, Yu Kun, Zhong Zhenxin, Pan Shuhui, Yao Ruotian
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引用次数: 0

摘要

针对现有配电网故障暂态行波信号中噪声干扰导致定位不准确的问题,提出了一种基于经验模态分解(EMD)和改进阈值去噪的故障定位方法。采用EMD算法将故障行波信号分解为内禀模态函数(IMF)分量,滤除低频噪声分量。采用改进的阈值法对带噪声的IMF进行处理和重构,实现故障行波头的精确定标。实验结果表明,该方法具有较好的去噪能力,能较准确地识别出带噪声的断层行波头。理论分析和仿真结果均表明,该方法能大大提高故障诊断和定位的精度,具有较强的鲁棒性和自适应性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fault traveling wave location method based on EMD and improvement threshold denoising
To solve the problem of inaccurate location caused by noise interference in the existing distribution network fault transient traveling wave signal, thus a fault location method based on empirical mode decomposition (EMD) and improved threshold denoising is proposed. The EMD algorithm is used to decompose the fault traveling wave signal into Intrinsic mode function (IMF) components, filter out the noisy low frequency components. The IMF with noise is processed by the improved threshold method and reconstructed to realize the accurate calibration of fault traveling wave head. The experimental results show that the proposed method can have good denoising ability and accurately identify the noisy fault traveling wave head. Theoretical analysis and simulation results both show that the method can greatly improve the accuracy of fault diagnosis and location, possessing strong robustness and adaptability.
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