LAPSE:2023.26530
Published Article
LAPSE:2023.26530
Monitoring System of Transmission Line in Mountainous Area Based on LPWAN
Han Zeng, Pengqi Zuo, Fangming Deng, Pei Zhang
April 3, 2023
Abstract
In light of the difficulty of the inspection and maintenance of a transmission line condition monitoring system in remote mountainous areas, this paper proposes a long-term online monitoring scheme based on a low power wide area network (LPWAN). Considering different failure rates, three monitoring periods of transmission lines in mountainous areas are proposed. An online monitoring framework of transmission lines in mountainous areas was designed based on long range radio (LoRa) and a cellular mobile network, and a dynamic group network model of LoRa was established. The multi-objective particle swarm optimization algorithm can be used to optimize the energy and delay of the system, and then the suitable working mode for the three monitoring periods can be obtained. The simulation results showed that the minimum packet loss rate of the system could be less than 1%, the energy consumption of the system was 80% lower than the existing monitoring system, and the service life of the system can reach 15.13 years under the normal failure rate. Compared with the existing schemes, the proposed work shows the advantages of high reliability transmission, low cost and long-term monitoring, which is especially for transmission line monitoring in mountainous areas.
Keywords
dynamic grouping, long term online monitoring, LPWAN, multi-objective optimization, transmission line monitoring
Suggested Citation
Zeng H, Zuo P, Deng F, Zhang P. Monitoring System of Transmission Line in Mountainous Area Based on LPWAN. (2023). LAPSE:2023.26530
Author Affiliations
Zeng H: School of Electrical and Automation Engineering, East China Jiaotong University, Nanchang 330013, China
Zuo P: School of Electrical and Automation Engineering, East China Jiaotong University, Nanchang 330013, China
Deng F: School of Electrical and Automation Engineering, East China Jiaotong University, Nanchang 330013, China
Zhang P: School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, China
Journal Name
Energies
Volume
13
Issue
18
Article Number
E4898
Year
2020
Publication Date
2020-09-18
ISSN
1996-1073
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PII: en13184898, Publication Type: Journal Article
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LAPSE:2023.26530
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https://doi.org/10.3390/en13184898
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