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Optimal Placement of UHF Sensors for Accurate Localization of Partial Discharge Source in GIS

Author

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  • Rui Liang

    (School of Electrical and Power Engineering, China University of Mining and Technology, Xuzhou 221116, China
    Jiangsu Laboratory of Coal Mine Electrical and Automation Engineering, China University of Mining and Technology, Xuzhou 221116, China)

  • Shenglei Wu

    (State Grid Chongqing Economic Research Institute, Chongqing 401121, China)

  • Peng Chi

    (School of Electrical and Power Engineering, China University of Mining and Technology, Xuzhou 221116, China)

  • Nan Peng

    (School of Electrical and Power Engineering, China University of Mining and Technology, Xuzhou 221116, China)

  • Yi Li

    (School of Electrical and Power Engineering, China University of Mining and Technology, Xuzhou 221116, China)

Abstract

This paper proposes an optimal placement model of ultra-high frequency (UHF) sensors for accurate location of partial discharge (PD) in gas-insulated switchgear (GIS). The model is based on 0-1 program in consideration of the attenuation influence on the propagation of electromagnetic (EM) waves generated by PD in GIS. the optimal placement plan improves the economy, observability, and accuracy of PD locating. After synchronously acquiring the time of the initial EM waves reaching each UHF sensor, PD occurring time can be obtained. Then, initial locating results can be acquired by using the Euclidean distance measuring method and the extended time difference of arriving (TDOA) location method. With the information of all UHF sensors and the inherent topological structure of GIS, the locating accuracy can be further improved. The method is verified by experiment, showing that the method can avoid the influence of false information and obtain higher locating accuracy by revising initial locating results.

Suggested Citation

  • Rui Liang & Shenglei Wu & Peng Chi & Nan Peng & Yi Li, 2019. "Optimal Placement of UHF Sensors for Accurate Localization of Partial Discharge Source in GIS," Energies, MDPI, vol. 12(6), pages 1-15, March.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:6:p:1173-:d:217287
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    Cited by:

    1. Alper Aydogan & Fatih Atalar & Aysel Ersoy Yilmaz & Pawel Rozga, 2020. "Using the Method of Harmonic Distortion Analysis in Partial Discharge Assessment in Mineral Oil in a Non-Uniform Electric Field," Energies, MDPI, vol. 13(18), pages 1-18, September.

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