Research and application of wireless sensor network technology in power transmission and distribution system

doi:10.23919/ICN.2020.0016

2020, Vol. 1

Issue (2): 199-220 doi: 10.23919/ICN.2020.0016

Research and application of wireless sensor network technology in power transmission and distribution system

Jianming Liu(

),Ziyan Zhao^*(

),Jerry Ji^*(

),Miaolong Hu^*(

)

"Smart Grid Technology and Equipment" Expert Committee, Industry Development and Promotion Center of the Ministry of Industry and Information Technology, Beijing 100846, China
State Grid I&T Branch, Beijing 100761, China
Huawei Technologies Co., Ltd., Shenzhen 518129, China
Wins Wireless Network Technology Co., Ltd., Jiaxing 314036, China

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Abstract

Power is an important part of the energy industry, relating to national economy and people’s livelihood, and it is of great significance to ensure the security and stability in operation of power transmission and distribution system. Based on Wireless Sensor Network technology (WSN) and combined with the monitoring and operating requirements of power transmission and distribution system, this paper puts forward an application system for monitoring, inspection, security, and interactive service of layered power transmission and distribution system. Furthermore, this paper demonstrates the system verification projects in Wuxi, Jiangsu Province and Lianxiangyuan Community in Beijing, which have been widely used nationwide.

Key words： Wireless Sensor Network (WSN) smart grid power system power transmission power distribution monitoring system

Received: 01 November 2020 Online: 19 August 2021

Corresponding Authors: Ziyan Zhao,Jerry Ji,Miaolong Hu E-mail: ljming@263.net;zhaoziyan750321@163.com;jerry.ji@huawei.com;hml@wsn-cn.com

About author: Jianming Liu received the master degree from Electric Power Research Institute China (CEPRI) in 1984. He is the director of "Smart Grid Technology and Equipment" Expert Committee, Industry Development and Promotion Center of the Ministry of Industry and Information Technology. His research interests include power system telecommunication network, IoT, energy internet, and smart grid.|Zhiyan Zhao received the PhD degree from CEPRI in 2011. He is currently the deputy director of Technology Center of State Grid of I&T Branch. His research interests include optical telecommunication network for power system, and simulation, optimization, planning, and standardization technology of power system telecommunication network.|Jerry Ji received the bachelor degree from Huazhong University of Science and Technology in 1997. He is the president of Energy Industry, Huawei Enterprise Business Group, Huawei Technologies Co., Ltd. He has rich expertise of promoting the applications of IT and IoT technologies in global energy system.|Miaolong Hu received the bachelor degree from Xidian University in 1983. He is currently the president of Wins Wireless Network Technology Co., Ltd. He is a senior R&D expert of micro energy consumption wireless sensor technology, and devotes to the applications of IoT technology in smart grid.


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Jianming Liu,Ziyan Zhao,Jerry Ji,Miaolong Hu. Research and application of wireless sensor network technology in power transmission and distribution system. , 2020, 1: 199-220.

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http://icn.tsinghuajournals.com/10.23919/ICN.2020.0016 OR http://icn.tsinghuajournals.com/Y2020/V1/I2/199

Fig. 1 Overall architecture of the wireless sensor network for smart grid.

Fig. 2 WSN accessing the wireless network. M2M represents machine to machine.

Fig. 3 MTC GW architecture diagram.

Fig. 4 Architecture of the power WSN application system.

Fig. 5 Smart grid transmission line online monitoring system.

Fig. 6 Architecture of the power system transmission, transformation, and distribution inspection system.

Fig. 7 Network sensing architecture of the substation acquisition layer.

Fig. 8 Architecture of power system infrastructure protection.

Fig. 9 Architecture of the distribution site operation supervision system.

Fig. 10 Architecture of the intelligent electricity service system.

Fig. 11 Architecture of the electricity information collection system.

Fig. 12 Architecture of smart grid sensor network information processing and integrated management platform. GIS represents geographic information system.

Fig. 13 WSN application demonstration system.

Fig. 14 5G demonstration network for smart grid in Qingdao. SA represents 5G standalone.

Fig. 15 Smart terminals exchange fault information through 5G network.

Fig. 16 Power grid and power station monitoring based on 5G MEC.

Fig. 17 Schematic diagram of the energy efficiency analysis system of household appliances.

Fig. 18 Green energy application.


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