期刊论文详细信息
Sensors
Large-Scale Internet of Things Multi-Sensor Measurement Node for Smart Grid Enhancement
Eugen Coca1  Adrian I. Petrariu1  Alexandru Lavric1 
[1] Computers, Electronics and Automation Department, Stefan cel Mare University of Suceava, 720229 Suceava, Romania;
关键词: smart grid;    LoRaWAN;    partial discharge;    predictive maintenance;    scalability;   
DOI  :  10.3390/s21238093
来源: DOAJ
【 摘 要 】

Electric power infrastructure has revolutionized our world and our way of living has completely changed. The necessary amount of energy is increasing faster than we realize. In these conditions, the grid is forced to run against its limitations, resulting in more frequent blackouts. Thus, urgent solutions need to be found to meet this greater and greater energy demand. By using the internet of things infrastructure, we can remotely manage distribution points, receiving data that can predict any future failure points on the grid. In this work, we present the design of a fully reconfigurable wireless sensor node that can sense the smart grid environment. The proposed prototype uses a modular developed hardware platform that can be easily integrated into the smart grid concept in a scalable manner and collects data using the LoRaWAN communication protocol. The designed architecture was tested for a period of 6 months, revealing the feasibility and scalability of the system, and opening new directions in the remote failure prediction of low voltage/medium voltage switchgears on the electric grid.

【 授权许可】

Unknown   

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