Double-ended travelling-wave fault location based on residual analysis using an adaptive EKF

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作者信息关键词期刊信息基础信息归属信息摘要

成果类型：

期刊论文

作者：

Xi, Yanhui*;Zhang, Xiaodong;Li, Zewen;Zeng, Xiangjun;Tang, Xin;...

通讯作者：

Xi, Yanhui

作者机构：

[Tang, Xin; Zhang, Xiaodong; Cui, Yonglin; Li, Zewen; Zeng, Xiangjun; Xiao, Hui; Xi, Yanhui] Changsha Univ Sci & Technol, Hunan Prov Higher Educ Key Lab Power Syst Safety, Changsha 410114, Hunan, Peoples R China.

通讯机构：

[Xi, Yanhui] C

Changsha Univ Sci & Technol, Hunan Prov Higher Educ Key Lab Power Syst Safety, Changsha 410114, Hunan, Peoples R China.

语种：

英文

关键词：

fault location;power transmission lines;adaptive filters;Kalman filters;feature extraction;covariance matrices;optimisation;maximum likelihood estimation;power transmission faults;transmission line fault location;modelling uncertainty;ATP simulation;noise levels;fault inception angles;instantaneous pulse;mutation feature extraction;fault distance;initial wave head;travelling-wave front discrimination;fault resistances;zero inception angle;error covariance matrices optimization;EKF-ML method;adaptive extended Kalman filter based maximum likelihood method;adaptive EKF;residual analysis;double-ended travelling-wavefront fault location

期刊：

IET Signal Processing

ISSN：

1751-9675

年：

2018

卷：

期：

页码：

1000-1008

DOI：

10.1049/iet-spr.2017.0486

基金类别：

National Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [51507015, 61540037, 71271215, 61233008, 51425701, 70921001, 51577014]; Natural Science Foundation of Hunan ProvinceNatural Science Foundation of Hunan Province [2018JJ2439, 2015JJ3008]; National Key Research and Development Programme of China [2016YF0900605]

机构署名：

本校为第一且通讯机构

院系归属：

电气与信息工程学院

摘要：

This paper presents the estimated residuals for detecting the traveling wave front using an adaptive extended Kalman filter based on the maximum likelihood (EKF-ML), which uses the maximum likelihood method to adaptively optimize the error covariance matrices and the initial conditions. In some situations, such as faults close to the bus or close to zero inception angle, or faults with high fault resistances, the transient waves can become weak and even become lost in the noise, which makes the discrimination of the traveling wave front become more difficult. Aiming at this, residuals between ...

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Double-ended travelling-wave fault location based on residual analysis using an adaptive EKF

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