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

被引:4
作者
Lu, Jiangang [1 ]
Shi, Zhan [1 ]
Liu, Xinzhan [1 ]
机构
[1] Guangdong Power Grid Co Ltd, Power Dispatching Control Ctr, Guangzhou, Peoples R China
关键词
10kV overhead line; outage probability; analytical expression; simulations;
D O I
10.4108/eetsis.v10i1.2527
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页数:7
相关论文
共 24 条
[1]   A comprehensive layered approach for implementing internet of things-enabled smart grid: A survey [J].
Alavikia, Zahra ;
Shabro, Maryam .
DIGITAL COMMUNICATIONS AND NETWORKS, 2022, 8 (03) :388-410
[2]   Active device detection and performance analysis of massive non-orthogonal transmissions in cellular Internet of Things [J].
Cai, Donghong ;
Fan, Pingzhi ;
Zou, Qiuyun ;
Xu, Yanqing ;
Ding, Zhiguo ;
Liu, Zhiquan .
SCIENCE CHINA-INFORMATION SCIENCES, 2022, 65 (08)
[3]   Physical-layer security based mobile edge computing for emerging cyber physical systems [J].
Chen, Lunyuan ;
Tang, Shunpu ;
Balasubramanian, Venki ;
Xia, Junjuan ;
Zhou, Fasheng ;
Fan, Lisheng .
COMPUTER COMMUNICATIONS, 2022, 194 :180-188
[4]   Finite-Time and Fixed-Time Synchronization of Delayed Memristive Neural Networks via Adaptive Aperiodically Intermittent Adjustment Strategy [J].
Cheng, Liyan ;
Tang, Fangcheng ;
Shi, Xinli ;
Chen, Xiangyong ;
Qiu, Jianlong .
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 34 (11) :8516-8530
[5]   Scheduling Flexible Nonpreemptive Loads in Smart-Grid Networks [J].
Dahlin, Nathan ;
Jain, Rahul .
IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS, 2022, 9 (01) :14-24
[6]   Efficient Memory-Bounded Optimal Detection for GSM-MIMO Systems [J].
He, Ke ;
He, Le ;
Fan, Lisheng ;
Lei, Xianfu ;
Deng, Yansha ;
Karagiannidis, George K. .
IEEE TRANSACTIONS ON COMMUNICATIONS, 2022, 70 (07) :4359-4372
[7]   Statistical CSI based design for intelligent reflecting surface assisted MISO systems [J].
Hu, Xiaoling ;
Wang, Junwei ;
Zhong, Caijun .
SCIENCE CHINA-INFORMATION SCIENCES, 2020, 63 (12)
[8]   Programmable Metasurface-Based Multicast Systems: Design and Analysis [J].
Hu, Xiaoling ;
Zhong, Caijun ;
Zhu, Yongxu ;
Chen, Xiaoming ;
Zhang, Zhaoyang .
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2020, 38 (08) :1763-1776
[9]   Outdated Access Point Selection for Mobile Edge Computing With Cochannel Interference [J].
Lai, Xiazhi ;
Xia, Junjuan ;
Fan, Lisheng ;
Duong, Trung Q. ;
Nallanathan, Arumugam .
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2022, 71 (07) :7445-7455
[10]   Performance analysis for IRS-assisted MEC networks with unit selection [J].
Lu, Jinrong ;
Lai, Shiwei ;
Xia, Junjuan ;
Tang, Maobin ;
Fan, Chengyuan ;
Ou, Jiangtao ;
Fan, Dahua .
PHYSICAL COMMUNICATION, 2022, 55