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A Novel Method for Separating and Locating Multiple Partial Discharge Sources in a Substation

To separate and locate multi-partial discharge (PD) sources in a substation, the use of spectrum differences of ultra-high frequency signals radiated from various sources as characteristic parameters has been previously reported. However, the separation success rate was poor when signal-to-noise rat...

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Autores principales: Li, Pengfei, Zhou, Wenjun, Yang, Shuai, Liu, Yushun, Tian, Yan, Wang, Yong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5335984/
https://www.ncbi.nlm.nih.gov/pubmed/28134812
http://dx.doi.org/10.3390/s17020247
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author Li, Pengfei
Zhou, Wenjun
Yang, Shuai
Liu, Yushun
Tian, Yan
Wang, Yong
author_facet Li, Pengfei
Zhou, Wenjun
Yang, Shuai
Liu, Yushun
Tian, Yan
Wang, Yong
author_sort Li, Pengfei
collection PubMed
description To separate and locate multi-partial discharge (PD) sources in a substation, the use of spectrum differences of ultra-high frequency signals radiated from various sources as characteristic parameters has been previously reported. However, the separation success rate was poor when signal-to-noise ratio was low, and the localization result was a coordinate on two-dimensional plane. In this paper, a novel method is proposed to improve the separation rate and the localization accuracy. A directional measuring platform is built using two directional antennas. The time delay (TD) of the signals captured by the antennas is calculated, and TD sequences are obtained by rotating the platform at different angles. The sequences are separated with the TD distribution feature, and the directions of the multi-PD sources are calculated. The PD sources are located by directions using the error probability method. To verify the method, a simulated model with three PD sources was established by XFdtd. Simulation results show that the separation rate is increased from 71% to 95% compared with the previous method, and an accurate three-dimensional localization result was obtained. A field test with two PD sources was carried out, and the sources were separated and located accurately by the proposed method.
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spelling pubmed-53359842017-03-16 A Novel Method for Separating and Locating Multiple Partial Discharge Sources in a Substation Li, Pengfei Zhou, Wenjun Yang, Shuai Liu, Yushun Tian, Yan Wang, Yong Sensors (Basel) Article To separate and locate multi-partial discharge (PD) sources in a substation, the use of spectrum differences of ultra-high frequency signals radiated from various sources as characteristic parameters has been previously reported. However, the separation success rate was poor when signal-to-noise ratio was low, and the localization result was a coordinate on two-dimensional plane. In this paper, a novel method is proposed to improve the separation rate and the localization accuracy. A directional measuring platform is built using two directional antennas. The time delay (TD) of the signals captured by the antennas is calculated, and TD sequences are obtained by rotating the platform at different angles. The sequences are separated with the TD distribution feature, and the directions of the multi-PD sources are calculated. The PD sources are located by directions using the error probability method. To verify the method, a simulated model with three PD sources was established by XFdtd. Simulation results show that the separation rate is increased from 71% to 95% compared with the previous method, and an accurate three-dimensional localization result was obtained. A field test with two PD sources was carried out, and the sources were separated and located accurately by the proposed method. MDPI 2017-01-27 /pmc/articles/PMC5335984/ /pubmed/28134812 http://dx.doi.org/10.3390/s17020247 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Li, Pengfei
Zhou, Wenjun
Yang, Shuai
Liu, Yushun
Tian, Yan
Wang, Yong
A Novel Method for Separating and Locating Multiple Partial Discharge Sources in a Substation
title A Novel Method for Separating and Locating Multiple Partial Discharge Sources in a Substation
title_full A Novel Method for Separating and Locating Multiple Partial Discharge Sources in a Substation
title_fullStr A Novel Method for Separating and Locating Multiple Partial Discharge Sources in a Substation
title_full_unstemmed A Novel Method for Separating and Locating Multiple Partial Discharge Sources in a Substation
title_short A Novel Method for Separating and Locating Multiple Partial Discharge Sources in a Substation
title_sort novel method for separating and locating multiple partial discharge sources in a substation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5335984/
https://www.ncbi.nlm.nih.gov/pubmed/28134812
http://dx.doi.org/10.3390/s17020247
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