Large-Scale Internet of Things Multi-Sensor Measurement Node for Smart Grid Enhancement
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 sol...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-12-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/21/23/8093 |
| _version_ | 1827674688525959168 |
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| author | Adrian I. Petrariu Eugen Coca Alexandru Lavric |
| author_facet | Adrian I. Petrariu Eugen Coca Alexandru Lavric |
| author_sort | Adrian I. Petrariu |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T04:44:51Z |
| format | Article |
| id | doaj.art-cda5f6c961804984a3688551e4f5de6c |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T04:44:51Z |
| publishDate | 2021-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-cda5f6c961804984a3688551e4f5de6c2023-11-23T03:03:53ZengMDPI AGSensors1424-82202021-12-012123809310.3390/s21238093Large-Scale Internet of Things Multi-Sensor Measurement Node for Smart Grid EnhancementAdrian I. Petrariu0Eugen Coca1Alexandru Lavric2Computers, Electronics and Automation Department, Stefan cel Mare University of Suceava, 720229 Suceava, RomaniaComputers, Electronics and Automation Department, Stefan cel Mare University of Suceava, 720229 Suceava, RomaniaComputers, Electronics and Automation Department, Stefan cel Mare University of Suceava, 720229 Suceava, RomaniaElectric 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.https://www.mdpi.com/1424-8220/21/23/8093smart gridLoRaWANpartial dischargepredictive maintenancescalability |
| spellingShingle | Adrian I. Petrariu Eugen Coca Alexandru Lavric Large-Scale Internet of Things Multi-Sensor Measurement Node for Smart Grid Enhancement Sensors smart grid LoRaWAN partial discharge predictive maintenance scalability |
| title | Large-Scale Internet of Things Multi-Sensor Measurement Node for Smart Grid Enhancement |
| title_full | Large-Scale Internet of Things Multi-Sensor Measurement Node for Smart Grid Enhancement |
| title_fullStr | Large-Scale Internet of Things Multi-Sensor Measurement Node for Smart Grid Enhancement |
| title_full_unstemmed | Large-Scale Internet of Things Multi-Sensor Measurement Node for Smart Grid Enhancement |
| title_short | Large-Scale Internet of Things Multi-Sensor Measurement Node for Smart Grid Enhancement |
| title_sort | large scale internet of things multi sensor measurement node for smart grid enhancement |
| topic | smart grid LoRaWAN partial discharge predictive maintenance scalability |
| url | https://www.mdpi.com/1424-8220/21/23/8093 |
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