Multi-Robot Cyber Physical System for Sensing Environmental Variables of Transmission Line.

Fei Fan, Gongping Wu, Man Wang, Qi Cao, Song Yang
Author Information
  1. Fei Fan: School of Power and Mechanical Engineering, Wuhan University, Wuhan 430072, China. fei-fan@whu.edu.cn. ORCID
  2. Gongping Wu: School of Power and Mechanical Engineering, Wuhan University, Wuhan 430072, China. gpwu@whu.edu.cn.
  3. Man Wang: School of Power and Mechanical Engineering, Wuhan University, Wuhan 430072, China. manwang@whu.edu.cn. ORCID
  4. Qi Cao: State Grid Jilin Electric Power Co., Ltd., Baishan Power Company, Baishan 134300, China. qicao.bs@gmail.com.
  5. Song Yang: State Grid Jilin Electric Power Co., Ltd., Baishan Power Company, Baishan 134300, China. songyang.bs@gmail.com.

Abstract

The normal operation of a power grid largely depends on the effective monitoring and maintenance of transmission lines, which is a process that has many challenges. The traditional method of the manual or remote inspection of transmission lines is time-consuming, laborious, and inefficient. To address this problem, a novel method has been proposed for the Multi-Robot Cyber Physical System (MRCPS) of a power grid based on inspection robots, a wireless sensor network (WSN), and multi-agent theory to achieve a low-cost, efficient, fault-tolerant, and remote monitoring of power grids. For the sake of an effective monitoring system for smart grids, the very research is conducted focusing on designing a methodology that will realize the efficient, fault-tolerant, and financial balance of a multi-robot team for monitoring transmission lines. Multiple testing scenarios are performed, in which various aspects are explored so as to determine the optimal parameters balancing team performance and financial cost. Furthermore, multi-robot team communication and navigation control in smart grid environments are introduced.

Keywords

References

  1. Sensors (Basel). 2018 Feb 15;18(2):null [PMID: 29462865]
  2. Sensors (Basel). 2018 Apr 22;18(4):null [PMID: 29690560]

Word Cloud

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