sis 22(2): e13

Research Article

Intelligent Wireless Monitoring Technology for 10kV Overhead lines in Smart Grid Networks

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  • @ARTICLE{10.4108/eetsis.v10i1.2527,
        author={Jiangang Lu and Shi Zhan and Xinzhan Liu},
        title={Intelligent Wireless Monitoring Technology for 10kV Overhead lines in Smart Grid Networks},
        journal={EAI Endorsed Transactions on Scalable Information Systems},
        volume={10},
        number={2},
        publisher={EAI},
        journal_a={SIS},
        year={2022},
        month={11},
        keywords={10kV overhead line, outage probability, simulation and analytic, analytical expression},
        doi={10.4108/eetsis.v10i1.2527}
    }
    
  • Jiangang Lu
    Shi Zhan
    Xinzhan Liu
    Year: 2022
    Intelligent Wireless Monitoring Technology for 10kV Overhead lines in Smart Grid Networks
    SIS
    EAI
    DOI: 10.4108/eetsis.v10i1.2527
Jiangang Lu1, Shi Zhan1,*, Xinzhan Liu1
  • 1: Power dispatching control center of Guangdong Power Grid Co., Ltd., China
*Contact email: ZhanShiCSG@hotmail.com

Abstract

Promoted by the rapid development of information technology, 10kV overhead line has been widely used in the majority of cities, and it is of great significance to monitor the distribution network effectively, in order to ensure the normal operation of the system. Most of traditional distribution network monitoring methods are based on manual work, which causes inconvenience to the distribution network fault location, repair, maintenance and real-time monitoring, and reduces the efficiency of the distribution network emergency repair and the reliability of power supply. Aiming at the automatic monitoring problem of 10kV overhead network, this paper adopts an intelligent wireless monitoring technology, where a monitoring node is employed to monitor the network transmission status through wireless links. We evaluate the system monitoring performance by using the metric of outage probability, depending on the wireless data rate over wireless channels. For the considered system, we derive analytical outage probability, in order to measure the system performance in the whole range of signal-to-noise ratio (SNR). The simulation results are finally presented to verify the analytical expressions on the system monitoring outage probability in this paper.