Research Article
Intelligent Wireless Monitoring Technology for 10kV Overhead lines in Smart Grid Networks
@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
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.
Copyright © 2022 Jiangang Lu et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution license, which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.