Smart-Grid Technologies and Climate Change: How to Use Smart Sensors and Data Processing to Enhance Grid Resilience in High-Impact High-Frequency Events
Smart-grid technologies are essential to achieving sustainable high-level grid resilience. Integrating sensors and monitoring devices throughout grid infrastructure provides additional data on weather-related parameters in real-time, enabling the smart grid to respond appropriately to inclement weat...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-05-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/18/11/2793 |
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| author | Eleni G. Goulioti Theodora Μ. Nikou Vassiliki T. Kontargyri Christos A. Christodoulou |
| author_facet | Eleni G. Goulioti Theodora Μ. Nikou Vassiliki T. Kontargyri Christos A. Christodoulou |
| author_sort | Eleni G. Goulioti |
| collection | DOAJ |
| description | Smart-grid technologies are essential to achieving sustainable high-level grid resilience. Integrating sensors and monitoring devices throughout grid infrastructure provides additional data on weather-related parameters in real-time, enabling the smart grid to respond appropriately to inclement weather and its associated challenges. The recording of all these data associated with each extreme weather event helps in the study and development of methodological tools for decision-making on issues of restoration and modification of the electricity network, with a view to enhancing its resilience and consequently ensuring the uninterrupted supply of electricity, even during the occurrence of these weather phenomena. This article focuses on enabling the utilization of meteorological data archives of past events, which demonstrate that natural disasters and extreme weather phenomena nowadays require network designs that can cope with the more frequent occurrence (high frequency) of events that have a significant impact (high impact) on the smooth operation of the network. |
| format | Article |
| id | doaj-art-a2557c42e8d84b4cb5c71b75896bae31 |
| institution | Kabale University |
| issn | 1996-1073 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj-art-a2557c42e8d84b4cb5c71b75896bae312025-08-20T03:46:50ZengMDPI AGEnergies1996-10732025-05-011811279310.3390/en18112793Smart-Grid Technologies and Climate Change: How to Use Smart Sensors and Data Processing to Enhance Grid Resilience in High-Impact High-Frequency EventsEleni G. Goulioti0Theodora Μ. Nikou1Vassiliki T. Kontargyri2Christos A. Christodoulou3High Voltage and Electrical Measurement Laboratory, School of Electrical and Computer Engineering, National Technical University of Athens, Zografou Campus, 9 Iroon Polytechniou Str., 15780 Athens, GreeceDepartment of Electrical and Electronics Engineering, Faculty of Engineering, University of West Attica, 12241 Athens, GreeceDepartment of Electrical and Electronics Engineering, Faculty of Engineering, University of West Attica, 12241 Athens, GreeceHigh Voltage and Electrical Measurement Laboratory, School of Electrical and Computer Engineering, National Technical University of Athens, Zografou Campus, 9 Iroon Polytechniou Str., 15780 Athens, GreeceSmart-grid technologies are essential to achieving sustainable high-level grid resilience. Integrating sensors and monitoring devices throughout grid infrastructure provides additional data on weather-related parameters in real-time, enabling the smart grid to respond appropriately to inclement weather and its associated challenges. The recording of all these data associated with each extreme weather event helps in the study and development of methodological tools for decision-making on issues of restoration and modification of the electricity network, with a view to enhancing its resilience and consequently ensuring the uninterrupted supply of electricity, even during the occurrence of these weather phenomena. This article focuses on enabling the utilization of meteorological data archives of past events, which demonstrate that natural disasters and extreme weather phenomena nowadays require network designs that can cope with the more frequent occurrence (high frequency) of events that have a significant impact (high impact) on the smooth operation of the network.https://www.mdpi.com/1996-1073/18/11/2793HILFHIHFpower systemsdistribution networksmart gridextreme weather events |
| spellingShingle | Eleni G. Goulioti Theodora Μ. Nikou Vassiliki T. Kontargyri Christos A. Christodoulou Smart-Grid Technologies and Climate Change: How to Use Smart Sensors and Data Processing to Enhance Grid Resilience in High-Impact High-Frequency Events Energies HILF HIHF power systems distribution network smart grid extreme weather events |
| title | Smart-Grid Technologies and Climate Change: How to Use Smart Sensors and Data Processing to Enhance Grid Resilience in High-Impact High-Frequency Events |
| title_full | Smart-Grid Technologies and Climate Change: How to Use Smart Sensors and Data Processing to Enhance Grid Resilience in High-Impact High-Frequency Events |
| title_fullStr | Smart-Grid Technologies and Climate Change: How to Use Smart Sensors and Data Processing to Enhance Grid Resilience in High-Impact High-Frequency Events |
| title_full_unstemmed | Smart-Grid Technologies and Climate Change: How to Use Smart Sensors and Data Processing to Enhance Grid Resilience in High-Impact High-Frequency Events |
| title_short | Smart-Grid Technologies and Climate Change: How to Use Smart Sensors and Data Processing to Enhance Grid Resilience in High-Impact High-Frequency Events |
| title_sort | smart grid technologies and climate change how to use smart sensors and data processing to enhance grid resilience in high impact high frequency events |
| topic | HILF HIHF power systems distribution network smart grid extreme weather events |
| url | https://www.mdpi.com/1996-1073/18/11/2793 |
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