Precise Fault Location on Transmission Lines Using Ensemble Kalman Filter

被引：44

作者：

Fan, Rui ^{[1
]}

Liu, Yu ^{[2
]}

Huang, Renke ^{[1
]}

Diao, Ruisheng ^{[1
]}

Wang, Shaobu ^{[1
]}

机构：

[1] Pacific North West Natl Lab, Richland, WA 99354 USA

[2] ShanghaiTech Univ, Shanghai 201210, Peoples R China

来源：

IEEE TRANSACTIONS ON POWER DELIVERY | 2018年 / 33卷 / 06期

关键词：

Dynamic state estimation; ensemble Kalman filter; fault location; fault classification;

D O I：

10.1109/TPWRD.2018.2849879

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Accurate pin-pointing of faults on transmission lines minimizes outage time, labor, and costs. This letter proposes a simple yet effective ensemble Kalman filter (EnKF) approach to accurately locating the faults on transmission lines within half-cycle time. The approach is easy to implement and does not require foreknowledge of either the fault type or an approximate guess of the fault location. Extensive results validate the effectiveness and accuracy of the EnKF-based fault location approach.

引用

页码：3252 / 3255

页数：4

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