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

Authors

  • Jiangang Lu Power dispatching control center of Guangdong Power Grid Co., Ltd., China
  • Shi Zhan Power dispatching control center of Guangdong Power Grid Co., Ltd., China
  • Xinzhan Liu Power dispatching control center of Guangdong Power Grid Co., Ltd., China

DOI:

https://doi.org/10.4108/eetsis.v10i1.2527

Keywords:

10kV overhead line, outage probability, simulation and analytic, analytical expression

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.

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Published

08-11-2022

How to Cite

1.
Lu J, Zhan S, Liu X. Intelligent Wireless Monitoring Technology for 10kV Overhead lines in Smart Grid Networks. EAI Endorsed Scal Inf Syst [Internet]. 2022 Nov. 8 [cited 2023 Feb. 5];10(2):e13. Available from: https://publications.eai.eu/index.php/sis/article/view/2527