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An Efficient Algorithm for Partial Discharge Localization in High-Voltage Systems Using Received Signal Strength
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Sensors 2018, 18(11), 4078; https://doi.org/10.3390/s18114078

Improving the Error of Time Differences of Arrival on Partial Discharges Measurement in Gas-Insulated Switchgear

1
Jiangsu Key Laboratory of New Energy Generation and Power Conversion, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China
2
State Grid Zhejiang Electric Power Co. Ltd. Research Institute, Hangzhou 310014, China
3
Hangzhou Kelin Electric Power Equipment Co., Ltd., Hangzhou 310014, China
4
Departamento de Ingeniería Eléctrica, Electrónica, Automática y Física Aplicada, Escuela Técnica Superior de Ingeniería y Diseño Industrial, Universidad Politécnica de Madrid, Ronda de Valencia 3, 28012 Madrid, Spain
*
Author to whom correspondence should be addressed.
Received: 14 October 2018 / Revised: 16 November 2018 / Accepted: 19 November 2018 / Published: 21 November 2018
(This article belongs to the Special Issue UHF and RF Sensor Technology for Partial Discharge Detection)
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Abstract

Partial Discharge (PD) detection based on Ultra-High-Frequency (UHF) measurements in Gas-Insulated Switchgear (GIS) is often used for fault location based on extraction of Time Differences of Arrival (TDoA), and the core technique is to obtain the precise time difference of each UHF signal. Usually, TDoA extraction algorithms can be categorized as cross-correlation function method (CCF), minimum energy method (ME), and threshold value method (TV) are not qualified to analyze the time difference with high accuracy and efficiency, especially the complicated UHF PD signals in the field. In this paper, multiple tests were carried out based on the real GIS UHF signals. Three typical algorithms (CCF, ME, and TV) were used to extract and calculate the TDoA of UHF signals. Afterwards, depending on the disassembly of equipment, the accuracy and effective range of the algorithms are analyzed by means of error and variance. To minimize the error and the variance, an average method with the combination (CA) and portfolio of traditional algorithms is proposed and verified in different situations. The results demonstrate that the improved algorithm could increase the accuracy of time difference extraction, less than 4.0%. View Full-Text
Keywords: partial discharge; Ultra-High-Frequency; Gas-Insulated Substations Fault location; Time difference of Arrival (TDoA) partial discharge; Ultra-High-Frequency; Gas-Insulated Substations Fault location; Time difference of Arrival (TDoA)
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Jiang, J.; Wang, K.; Zhang, C.; Chen, M.; Zheng, H.; Albarracín, R. Improving the Error of Time Differences of Arrival on Partial Discharges Measurement in Gas-Insulated Switchgear. Sensors 2018, 18, 4078.

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