Precise Fault Location on Transmission Lines Using Ensemble Kalman Filter

doi:https://doi.org/10.1109/TPWRD.2018.2849879

Title: Precise Fault Location on Transmission Lines Using Ensemble Kalman Filter

Abstract

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.

Authors:

Fan, Rui ^[1]; Liu, Yu ^[2]; Huang, Renke ^[1]; Diao, Ruisheng ^[3]; Wang, Shaobu ^[1]

BATTELLE (PACIFIC NW LAB)
ShanghaiTech University
Global Energy Interconnection Research Institute North America

Publication Date:: 2018-12-01

Research Org.:: Pacific Northwest National Lab. (PNNL), Richland, WA (United States)

Sponsoring Org.:: USDOE

OSTI Identifier:: 1513531

Report Number(s):: PNNL-SA-130921

DOE Contract Number:: AC05-76RL01830

Resource Type:: Journal Article

Journal Name:: IEEE Transactions on Power Delivery

Additional Journal Information:: Journal Volume: 33; Journal Issue: 6

Country of Publication:: United States

Language:: English

Citation Formats


                    Fan, Rui, Liu, Yu, Huang, Renke, Diao, Ruisheng, and Wang, Shaobu. Precise Fault Location on Transmission Lines Using Ensemble Kalman Filter.  United States: N. p., 2018. 
        Web.  doi:10.1109/TPWRD.2018.2849879.

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                    Fan, Rui, Liu, Yu, Huang, Renke, Diao, Ruisheng, & Wang, Shaobu. Precise Fault Location on Transmission Lines Using Ensemble Kalman Filter.  United States.  https://doi.org/10.1109/TPWRD.2018.2849879

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                    Fan, Rui, Liu, Yu, Huang, Renke, Diao, Ruisheng, and Wang, Shaobu. Sat .  
        "Precise Fault Location on Transmission Lines Using Ensemble Kalman Filter".  United States.  https://doi.org/10.1109/TPWRD.2018.2849879.

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@article{osti_1513531,

  title        = {Precise Fault Location on Transmission Lines Using Ensemble Kalman Filter},

  author       = {Fan, Rui and Liu, Yu and Huang, Renke and Diao, Ruisheng and Wang, Shaobu},

  abstractNote = {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.},

  doi          = {10.1109/TPWRD.2018.2849879},

  url          = {https://www.osti.gov/biblio/1513531},
  journal      = {IEEE Transactions on Power Delivery},
number       = 6,

  volume       = 33,

  place        = {United States},

  year         = {2018},

  month        = {12}

}

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Journal Article:

https://doi.org/10.1109/TPWRD.2018.2849879

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Works referencing / citing this record:

Dynamic State Estimation for Synchronous Machines Based on Adaptive Ensemble Square Root Kalman Filter
journal, November 2019

Nan, Dongliang; Wang, Weiqing; Wang, Kaike
Applied Sciences, Vol. 9, Issue 23
https://doi.org/10.3390/app9235200

A Novel Arc Fault Detection Method Integrated Random Forest, Improved Multi-scale Permutation Entropy and Wavelet Packet Transform
journal, April 2019

Yin, Zhendong; Wang, Li; Zhang, Yaojia
Electronics, Vol. 8, Issue 4
https://doi.org/10.3390/electronics8040396

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Title: Precise Fault Location on Transmission Lines Using Ensemble Kalman Filter

Abstract

Citation Formats

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