Grounding fault detection and type determination of substation DC system

Grounding fault detection and type determination of substation DC system

The DC system is used as the power supply for all kinds of protection, measurement and control, safety automation and other devices in the substation. It is the fundamental guarantee of power system control and protection. If the substation DC system fails, it will have a destructive impact on the e...

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Main Authors: Wang Guozhong, Zeng Yin, Shen Juanping, Zhu Hongming
Format: Article
Language:English
Published: EDP Sciences 2021-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/28/e3sconf_pgsge2021_01045.pdf
id doaj-b3528c9ff8674c1db7e0bb0651efa9e9
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spelling doaj-b3528c9ff8674c1db7e0bb0651efa9e92021-05-04T12:18:36ZengEDP SciencesE3S Web of Conferences2267-12422021-01-012520104510.1051/e3sconf/202125201045e3sconf_pgsge2021_01045Grounding fault detection and type determination of substation DC systemWang Guozhong0Zeng Yin1Shen Juanping2Zhu Hongming3Wenshan Power Supply Bureau of Yunnan Power Grid Co., Ltd.Wenshan Power Supply Bureau of Yunnan Power Grid Co., Ltd.Wenshan Power Supply Bureau of Yunnan Power Grid Co., Ltd.Wenshan Power Supply Bureau of Yunnan Power Grid Co., Ltd.The DC system is used as the power supply for all kinds of protection, measurement and control, safety automation and other devices in the substation. It is the fundamental guarantee of power system control and protection. If the substation DC system fails, it will have a destructive impact on the entire substation system and function. Based on this, in order to solve the problems of maloperation and refusal of protection device caused by grounding fault of DC system, a method combining unbalanced bridge method with leakage current sensor is proposed to detect the grounding resistance of bus and branch. On this basis, the neural network optimized by quantum particle swarm optimization is used to determine the fault type. Finally, the effectiveness of the proposed method is verified by MATLAB/Simulink simulation.https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/28/e3sconf_pgsge2021_01045.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Wang Guozhong
Zeng Yin
Shen Juanping
Zhu Hongming
spellingShingle Wang Guozhong
Zeng Yin
Shen Juanping
Zhu Hongming
Grounding fault detection and type determination of substation DC system
E3S Web of Conferences
author_facet Wang Guozhong
Zeng Yin
Shen Juanping
Zhu Hongming
author_sort Wang Guozhong
title Grounding fault detection and type determination of substation DC system
title_short Grounding fault detection and type determination of substation DC system
title_full Grounding fault detection and type determination of substation DC system
title_fullStr Grounding fault detection and type determination of substation DC system
title_full_unstemmed Grounding fault detection and type determination of substation DC system
title_sort grounding fault detection and type determination of substation dc system
publisher EDP Sciences
series E3S Web of Conferences
issn 2267-1242
publishDate 2021-01-01
description The DC system is used as the power supply for all kinds of protection, measurement and control, safety automation and other devices in the substation. It is the fundamental guarantee of power system control and protection. If the substation DC system fails, it will have a destructive impact on the entire substation system and function. Based on this, in order to solve the problems of maloperation and refusal of protection device caused by grounding fault of DC system, a method combining unbalanced bridge method with leakage current sensor is proposed to detect the grounding resistance of bus and branch. On this basis, the neural network optimized by quantum particle swarm optimization is used to determine the fault type. Finally, the effectiveness of the proposed method is verified by MATLAB/Simulink simulation.
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/28/e3sconf_pgsge2021_01045.pdf
work_keys_str_mv AT wangguozhong groundingfaultdetectionandtypedeterminationofsubstationdcsystem
AT zengyin groundingfaultdetectionandtypedeterminationofsubstationdcsystem
AT shenjuanping groundingfaultdetectionandtypedeterminationofsubstationdcsystem
AT zhuhongming groundingfaultdetectionandtypedeterminationofsubstationdcsystem
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