Precise Fault Location on Transmission Lines Using Ensemble Kalman Filter

Fan, Rui; Liu, Yu; Huang, Renke; Diao, Ruisheng; Wang, Shaobu

doi: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 paper 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. Finally, 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]

Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
ShanghaiTech Univ. (China)
Global Energy Interconnection Research Inst. North America, San Jose, CA (United States)

Publication Date:: Fri Jun 22 00:00:00 EDT 2018

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

Sponsoring Org.:: USDOE

OSTI Identifier:: 1457786

Report Number(s):: PNNL-SA-130921
Journal ID: ISSN 0885-8977

Grant/Contract Number:: AC05-76RL01830

Resource Type:: Accepted Manuscript

Journal Name:: IEEE Transactions on Power Delivery

Additional Journal Information:: Journal Volume: 33; Journal Issue: 6; Journal ID: ISSN 0885-8977

Publisher:: IEEE

Country of Publication:: United States

Language:: English

Subject:: 24 POWER TRANSMISSION AND DISTRIBUTION; dynamic state estimation; ensemble Kalman filter; fault location; fault classification

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. Fri .  
"Precise Fault Location on Transmission Lines Using Ensemble Kalman Filter".  United States.  https://doi.org/10.1109/TPWRD.2018.2849879.  https://www.osti.gov/servlets/purl/1457786.

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@article{osti_1457786,

  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 paper 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. Finally, extensive results validate the effectiveness and accuracy of the EnKF-based fault location approach.},

  doi          = {10.1109/TPWRD.2018.2849879},

  journal      = {IEEE Transactions on Power Delivery},

  number       = 6,

  volume       = 33,

  place        = {United States},

  year         = {Fri Jun 22 00:00:00 EDT 2018},

  month        = {Fri Jun 22 00:00:00 EDT 2018}

}

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Journal Article:

Free Publicly Available Full Text

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

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Cited by: 29 works

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Figures / Tables:

Fig. 1.: (a) Multi-section transmission line model, (b) single-phase to ground, (c) phase to phase, (d) phase-to-phase to ground, (e) three-phase faults

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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
DOI: 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
DOI: 10.3390/electronics8040396

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

Abstract

Citation Formats

Figures / Tables:

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

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