An on-line monitoring method for monitoring earth grounding resistance based on a hybrid genetic algorithm (Short Paper)

Guangxin Zhang; Minzhen Wang; Xinheng Wang; Liying Zhao; Jinyang Zhao

doi:10.1007/978-3-030-12981-1_41

An on-line monitoring method for monitoring earth grounding resistance based on a hybrid genetic algorithm (Short Paper)

Guangxin Zhang, Minzhen Wang^*, Xinheng Wang, Liying Zhao, Jinyang Zhao

^*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

4 Citations (Scopus)

Abstract

In this paper, a method for measuring the grounding resistance of the tower without disconnecting all the down conductors is proposed for the first time in view of the shortage of manual measurement of the grounding resistance of the tower. This paper introduces the measurement model of single or multiple down conductors, and uses a hybrid genetic algorithm to comprehensively calculate the grounding resistance of all towers in the closed loop, which greatly improves the measurement accuracy. Through simulation analysis and actual measurement, it proves that the method is simple and convenient to measure, does not need to disconnect the grounding wire, and has high measurement accuracy. Compared with the clamp ammeter method, the accuracy is improved by 30%. The method is applied to the on-line monitoring system of the tower grounding resistance, which can reduce the labor intensity of the line maintenance personnel, greatly improve the work efficiency and provide a basis for discovering the fault in time.

Original language	English
Title of host publication	Collaborative Computing
Subtitle of host publication	Networking, Applications and Worksharing - 14th EAI International Conference, CollaborateCom 2018, Proceedings
Editors	Xinheng Wang, Muddesar Iqbal, Yuyu Yin, Honghao Gao
Publisher	Springer Verlag
Pages	581-591
Number of pages	11
ISBN (Print)	9783030129804
DOIs	https://doi.org/10.1007/978-3-030-12981-1_41
Publication status	Published - 2019
Externally published	Yes
Event	14th EAI International Conference on Collaborative Computing: Networking, Applications and Worksharing, CollaborateCom 2018 - Shanghai, China Duration: 1 Dec 2018 → 3 Dec 2018

Publication series

Name	Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume	268
ISSN (Print)	1867-8211

Conference

Conference	14th EAI International Conference on Collaborative Computing: Networking, Applications and Worksharing, CollaborateCom 2018
Country/Territory	China
City	Shanghai
Period	1/12/18 → 3/12/18

Keywords

Grounding resistance
Grounding wire
Hybrid genetic algorithm
Measurement

Access to Document

10.1007/978-3-030-12981-1_41

Cite this

Zhang, G., Wang, M., Wang, X., Zhao, L., & Zhao, J. (2019). An on-line monitoring method for monitoring earth grounding resistance based on a hybrid genetic algorithm (Short Paper). In X. Wang, M. Iqbal, Y. Yin, & H. Gao (Eds.), Collaborative Computing: Networking, Applications and Worksharing - 14th EAI International Conference, CollaborateCom 2018, Proceedings (pp. 581-591). (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 268). Springer Verlag. https://doi.org/10.1007/978-3-030-12981-1_41

Zhang, Guangxin ; Wang, Minzhen ; Wang, Xinheng et al. / An on-line monitoring method for monitoring earth grounding resistance based on a hybrid genetic algorithm (Short Paper). Collaborative Computing: Networking, Applications and Worksharing - 14th EAI International Conference, CollaborateCom 2018, Proceedings. editor / Xinheng Wang ; Muddesar Iqbal ; Yuyu Yin ; Honghao Gao. Springer Verlag, 2019. pp. 581-591 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST).

@inproceedings{0a84a941df86478abf01c7b732772b0e,

title = "An on-line monitoring method for monitoring earth grounding resistance based on a hybrid genetic algorithm (Short Paper)",

abstract = "In this paper, a method for measuring the grounding resistance of the tower without disconnecting all the down conductors is proposed for the first time in view of the shortage of manual measurement of the grounding resistance of the tower. This paper introduces the measurement model of single or multiple down conductors, and uses a hybrid genetic algorithm to comprehensively calculate the grounding resistance of all towers in the closed loop, which greatly improves the measurement accuracy. Through simulation analysis and actual measurement, it proves that the method is simple and convenient to measure, does not need to disconnect the grounding wire, and has high measurement accuracy. Compared with the clamp ammeter method, the accuracy is improved by 30%. The method is applied to the on-line monitoring system of the tower grounding resistance, which can reduce the labor intensity of the line maintenance personnel, greatly improve the work efficiency and provide a basis for discovering the fault in time.",

keywords = "Grounding resistance, Grounding wire, Hybrid genetic algorithm, Measurement",

author = "Guangxin Zhang and Minzhen Wang and Xinheng Wang and Liying Zhao and Jinyang Zhao",

note = "Publisher Copyright: {\textcopyright} 2019, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.; 14th EAI International Conference on Collaborative Computing: Networking, Applications and Worksharing, CollaborateCom 2018 ; Conference date: 01-12-2018 Through 03-12-2018",

year = "2019",

doi = "10.1007/978-3-030-12981-1_41",

language = "English",

isbn = "9783030129804",

series = "Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST",

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editor = "Xinheng Wang and Muddesar Iqbal and Yuyu Yin and Honghao Gao",

booktitle = "Collaborative Computing",

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Zhang, G, Wang, M, Wang, X, Zhao, L & Zhao, J 2019, An on-line monitoring method for monitoring earth grounding resistance based on a hybrid genetic algorithm (Short Paper). in X Wang, M Iqbal, Y Yin & H Gao (eds), Collaborative Computing: Networking, Applications and Worksharing - 14th EAI International Conference, CollaborateCom 2018, Proceedings. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, vol. 268, Springer Verlag, pp. 581-591, 14th EAI International Conference on Collaborative Computing: Networking, Applications and Worksharing, CollaborateCom 2018, Shanghai, China, 1/12/18. https://doi.org/10.1007/978-3-030-12981-1_41

An on-line monitoring method for monitoring earth grounding resistance based on a hybrid genetic algorithm (Short Paper). / Zhang, Guangxin; Wang, Minzhen; Wang, Xinheng et al.
Collaborative Computing: Networking, Applications and Worksharing - 14th EAI International Conference, CollaborateCom 2018, Proceedings. ed. / Xinheng Wang; Muddesar Iqbal; Yuyu Yin; Honghao Gao. Springer Verlag, 2019. p. 581-591 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 268).

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

TY - GEN

T1 - An on-line monitoring method for monitoring earth grounding resistance based on a hybrid genetic algorithm (Short Paper)

AU - Zhang, Guangxin

AU - Wang, Minzhen

AU - Wang, Xinheng

AU - Zhao, Liying

AU - Zhao, Jinyang

PY - 2019

Y1 - 2019

N2 - In this paper, a method for measuring the grounding resistance of the tower without disconnecting all the down conductors is proposed for the first time in view of the shortage of manual measurement of the grounding resistance of the tower. This paper introduces the measurement model of single or multiple down conductors, and uses a hybrid genetic algorithm to comprehensively calculate the grounding resistance of all towers in the closed loop, which greatly improves the measurement accuracy. Through simulation analysis and actual measurement, it proves that the method is simple and convenient to measure, does not need to disconnect the grounding wire, and has high measurement accuracy. Compared with the clamp ammeter method, the accuracy is improved by 30%. The method is applied to the on-line monitoring system of the tower grounding resistance, which can reduce the labor intensity of the line maintenance personnel, greatly improve the work efficiency and provide a basis for discovering the fault in time.

AB - In this paper, a method for measuring the grounding resistance of the tower without disconnecting all the down conductors is proposed for the first time in view of the shortage of manual measurement of the grounding resistance of the tower. This paper introduces the measurement model of single or multiple down conductors, and uses a hybrid genetic algorithm to comprehensively calculate the grounding resistance of all towers in the closed loop, which greatly improves the measurement accuracy. Through simulation analysis and actual measurement, it proves that the method is simple and convenient to measure, does not need to disconnect the grounding wire, and has high measurement accuracy. Compared with the clamp ammeter method, the accuracy is improved by 30%. The method is applied to the on-line monitoring system of the tower grounding resistance, which can reduce the labor intensity of the line maintenance personnel, greatly improve the work efficiency and provide a basis for discovering the fault in time.

KW - Grounding resistance

KW - Grounding wire

KW - Hybrid genetic algorithm

KW - Measurement

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DO - 10.1007/978-3-030-12981-1_41

M3 - Conference Proceeding

AN - SCOPUS:85062268807

SN - 9783030129804

T3 - Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST

SP - 581

EP - 591

BT - Collaborative Computing

A2 - Wang, Xinheng

A2 - Iqbal, Muddesar

A2 - Yin, Yuyu

A2 - Gao, Honghao

PB - Springer Verlag

T2 - 14th EAI International Conference on Collaborative Computing: Networking, Applications and Worksharing, CollaborateCom 2018

Y2 - 1 December 2018 through 3 December 2018

ER -

Zhang G, Wang M, Wang X, Zhao L, Zhao J. An on-line monitoring method for monitoring earth grounding resistance based on a hybrid genetic algorithm (Short Paper). In Wang X, Iqbal M, Yin Y, Gao H, editors, Collaborative Computing: Networking, Applications and Worksharing - 14th EAI International Conference, CollaborateCom 2018, Proceedings. Springer Verlag. 2019. p. 581-591. (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST). doi: 10.1007/978-3-030-12981-1_41

An on-line monitoring method for monitoring earth grounding resistance based on a hybrid genetic algorithm (Short Paper)

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