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A Smart Grid Overvoltage Identification System Associated with Partial Discharge Signal and Dielectric Loss Detection

Capacitive equipment refers to its insulation design using the principle of capacitance of electrical equipment, mainly by a variety of different capacitive components in series. Most of the equipment in the substation is capacitive equipment. Once an insulation failure occurs, it will lead to extre...

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Autores principales: Chen, Guojin, Zhu, Yucheng, Meng, Zihao, Fang, Weixing, Xie, Wei, Xu, Ming, Li, Wenxin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10534316/
https://www.ncbi.nlm.nih.gov/pubmed/37765784
http://dx.doi.org/10.3390/s23187727
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author Chen, Guojin
Zhu, Yucheng
Meng, Zihao
Fang, Weixing
Xie, Wei
Xu, Ming
Li, Wenxin
author_facet Chen, Guojin
Zhu, Yucheng
Meng, Zihao
Fang, Weixing
Xie, Wei
Xu, Ming
Li, Wenxin
author_sort Chen, Guojin
collection PubMed
description Capacitive equipment refers to its insulation design using the principle of capacitance of electrical equipment, mainly by a variety of different capacitive components in series. Most of the equipment in the substation is capacitive equipment. Once an insulation failure occurs, it will lead to extremely serious consequences. Monitoring grid overvoltage and insulation degradation of capacitive equipment is an effective means to ensure the stable operation of the power system. Therefore, in order to enhance the health management of capacitive equipment, including transformers, bushings, and current transformers, and to mitigate the risk of severe failures, it is imperative to conduct broad-spectrum frequency-domain online monitoring of overvoltages, dielectric losses, and partial discharge. However, the current monitoring work requires the utilization of multiple detection apparatuses. Aiming at the disadvantage that the existing inspection is not well integrated and requires a combination of multiple devices. This paper proposes a smart grid overvoltage identification system that utilizes partial discharge (PD) signals in correlation with dielectric loss detection. The system achieves synchronous detection of dielectric loss and high-frequency partial discharge by synchronously and in real-time acquiring four current signals from the power grid, enhancing the integration level of the hardware system.
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spelling pubmed-105343162023-09-29 A Smart Grid Overvoltage Identification System Associated with Partial Discharge Signal and Dielectric Loss Detection Chen, Guojin Zhu, Yucheng Meng, Zihao Fang, Weixing Xie, Wei Xu, Ming Li, Wenxin Sensors (Basel) Article Capacitive equipment refers to its insulation design using the principle of capacitance of electrical equipment, mainly by a variety of different capacitive components in series. Most of the equipment in the substation is capacitive equipment. Once an insulation failure occurs, it will lead to extremely serious consequences. Monitoring grid overvoltage and insulation degradation of capacitive equipment is an effective means to ensure the stable operation of the power system. Therefore, in order to enhance the health management of capacitive equipment, including transformers, bushings, and current transformers, and to mitigate the risk of severe failures, it is imperative to conduct broad-spectrum frequency-domain online monitoring of overvoltages, dielectric losses, and partial discharge. However, the current monitoring work requires the utilization of multiple detection apparatuses. Aiming at the disadvantage that the existing inspection is not well integrated and requires a combination of multiple devices. This paper proposes a smart grid overvoltage identification system that utilizes partial discharge (PD) signals in correlation with dielectric loss detection. The system achieves synchronous detection of dielectric loss and high-frequency partial discharge by synchronously and in real-time acquiring four current signals from the power grid, enhancing the integration level of the hardware system. MDPI 2023-09-07 /pmc/articles/PMC10534316/ /pubmed/37765784 http://dx.doi.org/10.3390/s23187727 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Chen, Guojin
Zhu, Yucheng
Meng, Zihao
Fang, Weixing
Xie, Wei
Xu, Ming
Li, Wenxin
A Smart Grid Overvoltage Identification System Associated with Partial Discharge Signal and Dielectric Loss Detection
title A Smart Grid Overvoltage Identification System Associated with Partial Discharge Signal and Dielectric Loss Detection
title_full A Smart Grid Overvoltage Identification System Associated with Partial Discharge Signal and Dielectric Loss Detection
title_fullStr A Smart Grid Overvoltage Identification System Associated with Partial Discharge Signal and Dielectric Loss Detection
title_full_unstemmed A Smart Grid Overvoltage Identification System Associated with Partial Discharge Signal and Dielectric Loss Detection
title_short A Smart Grid Overvoltage Identification System Associated with Partial Discharge Signal and Dielectric Loss Detection
title_sort smart grid overvoltage identification system associated with partial discharge signal and dielectric loss detection
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10534316/
https://www.ncbi.nlm.nih.gov/pubmed/37765784
http://dx.doi.org/10.3390/s23187727
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