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Lessons learned from Milan electric power distribution networks data analysis during COVID-19 pandemic
COVID-19 pandemic has been a disruptive event from health, social, and economic points of view. Besides that, changes in people’s lifestyles, especially during the 2020 lockdowns, also affected energy networks. COVID-19 pandemic has resulted in a significant decline in electricity demand. The lockdo...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9090873/ http://dx.doi.org/10.1016/j.segan.2022.100755 |
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author | Bosisio, Alessandro Soldan, Francesca Morotti, Andrea Iannarelli, Gaetano Bionda, Enea Grillo, Samuele |
author_facet | Bosisio, Alessandro Soldan, Francesca Morotti, Andrea Iannarelli, Gaetano Bionda, Enea Grillo, Samuele |
author_sort | Bosisio, Alessandro |
collection | PubMed |
description | COVID-19 pandemic has been a disruptive event from health, social, and economic points of view. Besides that, changes in people’s lifestyles, especially during the 2020 lockdowns, also affected energy networks. COVID-19 pandemic has resulted in a significant decline in electricity demand. The lockdown measures applied to handle the health crisis have caused the most relevant energy impact of the last years. In this paper, the local experiences of the distribution network of Milano, a city in northern Italy, are reported. The analysis starts with a summary of the restrictions imposed during 2020 and focuses on both active and reactive power flows, and faults. To this end, a comparison with 2019 data has been performed, highlighting the main differences with 2020. The outcome of the analysis is a valuable tool to predict urban distribution networks behavior during times of disruption, helping distribution system operators to prepare feasible short-term and long-term resilience plans. |
format | Online Article Text |
id | pubmed-9090873 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-90908732022-05-11 Lessons learned from Milan electric power distribution networks data analysis during COVID-19 pandemic Bosisio, Alessandro Soldan, Francesca Morotti, Andrea Iannarelli, Gaetano Bionda, Enea Grillo, Samuele Sustainable Energy, Grids and Networks Article COVID-19 pandemic has been a disruptive event from health, social, and economic points of view. Besides that, changes in people’s lifestyles, especially during the 2020 lockdowns, also affected energy networks. COVID-19 pandemic has resulted in a significant decline in electricity demand. The lockdown measures applied to handle the health crisis have caused the most relevant energy impact of the last years. In this paper, the local experiences of the distribution network of Milano, a city in northern Italy, are reported. The analysis starts with a summary of the restrictions imposed during 2020 and focuses on both active and reactive power flows, and faults. To this end, a comparison with 2019 data has been performed, highlighting the main differences with 2020. The outcome of the analysis is a valuable tool to predict urban distribution networks behavior during times of disruption, helping distribution system operators to prepare feasible short-term and long-term resilience plans. Elsevier Ltd. 2022-09 2022-05-11 /pmc/articles/PMC9090873/ http://dx.doi.org/10.1016/j.segan.2022.100755 Text en © 2022 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Bosisio, Alessandro Soldan, Francesca Morotti, Andrea Iannarelli, Gaetano Bionda, Enea Grillo, Samuele Lessons learned from Milan electric power distribution networks data analysis during COVID-19 pandemic |
title | Lessons learned from Milan electric power distribution networks data analysis during COVID-19 pandemic |
title_full | Lessons learned from Milan electric power distribution networks data analysis during COVID-19 pandemic |
title_fullStr | Lessons learned from Milan electric power distribution networks data analysis during COVID-19 pandemic |
title_full_unstemmed | Lessons learned from Milan electric power distribution networks data analysis during COVID-19 pandemic |
title_short | Lessons learned from Milan electric power distribution networks data analysis during COVID-19 pandemic |
title_sort | lessons learned from milan electric power distribution networks data analysis during covid-19 pandemic |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9090873/ http://dx.doi.org/10.1016/j.segan.2022.100755 |
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