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Zhang, Guangxin, Wang, Minzhen, Wang, Xinheng 
ORCID: https://orcid.org/0000-0001-8771-8901, Zhao, Liying and Zhao, Jinyang
(2019)
An on-line monitoring method for monitoring earth grounding resistance based on a hybrid genetic algorithm (short paper).
In: CollaborateCom 2018, 1-3 December 2018, Shanghai, China.
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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.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| ISSN: | 1867-8211 |
| ISBN: | 9783030129811 |
| Identifier: | 10.1007/978-3-030-12981-1_41 |
| Page Range: | pp. 581-591 |
| Identifier: | 10.1007/978-3-030-12981-1_41 |
| Additional Information: | This is a post-peer-review, pre-copyedit version of an article published in Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. The final authenticated version is available online at: https://doi.org/10.1007/978-3-030-12981-1_41 |
| Keywords: | Grounding resistance; Grounding wire; Measurement; Hybrid genetic algorithm |
| Subjects: | Computing > Intelligent systems |
| Related URLs: | |
| Depositing User: | Henry Wang |
| Date Deposited: | 19 Feb 2019 17:18 |
| Last Modified: | 04 Nov 2024 12:49 |
| URI: | https://repository.uwl.ac.uk/id/eprint/5810 |
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