结合TSVD正则化和离散反卷积的电压行波精确检测方法
CSTR:
作者:
作者单位:

(1.长沙理工大学电气与信息工程学院,湖南 长沙 410114;2.广西电网有限责任公司桂林供电局,广西 桂林 541000)

通讯作者:

李泽文(1975—),男,博士,教授,主要从事电力系统保护与控制的研究;E?mail: lzw0917@163.com

中图分类号:

TM773

基金项目:

国家自然科学基金(51877012);湖南省教育厅双一流重点项目(18A121)


An accurate detection method for fault voltage traveling wave based on a combination of TSVD regularization and discrete deconvolution
Author:
Affiliation:

(1.School of Electrical & Information Engineering, Changsha University of Science & Technology, Changsha 410114, China;2.Guilin Power Supply Bureau, Guangxi Power Grid Co., Ltd.,Guilin 541000, China)

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    摘要:

    为解决行波传感器传变过程中的衰变及噪声干扰等因素影响而导致的电网一、二次侧行波波形不一致问题,提出一种结合截断奇异值分解(TSVD)正则化和离散反卷积的电网故障电压行波精确检测方法。该方法选择集中参数传递函数模型构建电压行波传感器的正演模型;然后利用反卷积原理建立行波反演模型;针对行波波形反演过程中产生的病态问题,提出结合TSVD正则化理论的波形反演方法,实现电网故障电压行波的精确检测。仿真分析表明,该检测方法能够实现二次行波信号的精确反演,反演一次行波信号波形特征可以反映真实的故障波形特征。

    Abstract:

    In order to solve the inconsistency of the traveling wave waveforms between primary and secondary sides in the power grid caused by the decay and noise interference in transmission process of the traveling wave sensor, an accurate detection method of fault voltage traveling wave combining the truncated singular value decomposition (TSVD) regularization and discrete deconvolution is proposed. This method adopts the transfer function model based on lumped parameters to construct a forward model of voltage traveling wave sensor, and the principle of deconvolution is used to establish the inversion model of traveling waves. Aiming at the ill conditions generated during the inversion of traveling wave waveforms, a waveform inversion method combined with TSVD regularization theory is proposed to realize the accurate detection of fault voltage traveling wave. The simulation shows that the detection method can realize the accurate inversion of the secondary traveling wave signals, and the waveform characteristics of the primary traveling wave signal obtained by the inversion can reflect the real fault waveform characteristics.

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李泽文,钱雪社,唐 迪,等.结合TSVD正则化和离散反卷积的电压行波精确检测方法[J].电力科学与技术学报,2023,38(4):65-74.
LI Zewen, QIAN Xueshe, TANG Di, et al. An accurate detection method for fault voltage traveling wave based on a combination of TSVD regularization and discrete deconvolution[J]. Journal of Electric Power Science and Technology,2023,38(4):65-74.

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  • 在线发布日期: 2023-11-06
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