Uncovering Contributing Factors to Interruptions in the Power Grid: An Arctic Case
Electric failures are a problem for customers and grid operators. Identifying causes and localizing the source of failures in the grid is critical. Here, we focus on a specific power grid in the Arctic region of Northern Norway. First, we collected data pertaining to the grid topology, the topograph...
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Language: | English |
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Online Access: | https://hdl.handle.net/11250/2997165 https://doi.org/10.3390/en15010305 |
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ftnorce:oai:norceresearch.brage.unit.no:11250/2997165 2023-05-15T14:55:03+02:00 Uncovering Contributing Factors to Interruptions in the Power Grid: An Arctic Case Eikeland, Odin Foldvik Bianchi, Filippo Maria Holmestrand, Inga Setså Bakkejord, Sigurd Santos, Sergio Chiesa, Matteo 2022 application/pdf https://hdl.handle.net/11250/2997165 https://doi.org/10.3390/en15010305 eng eng urn:issn:1996-1073 https://hdl.handle.net/11250/2997165 https://doi.org/10.3390/en15010305 cristin:1977820 Navngivelse 4.0 Internasjonal http://creativecommons.org/licenses/by/4.0/deed.no © 2022 by the authors CC-BY Energies Peer reviewed Journal article 2022 ftnorce https://doi.org/10.3390/en15010305 2022-10-13T05:50:42Z Electric failures are a problem for customers and grid operators. Identifying causes and localizing the source of failures in the grid is critical. Here, we focus on a specific power grid in the Arctic region of Northern Norway. First, we collected data pertaining to the grid topology, the topography of the area, the historical meteorological data, and the historical energy consumption/production data. Then, we exploited statistical and machine-learning techniques to predict the occurrence of failures. The classification models achieve good performance, meaning that there is a significant relationship between the collected variables and fault occurrence. Thus, we interpreted the variables that mostly explain the classification results to be the main driving factors of power interruption. Wind speed of gust and local industry activity are found to be the main controlling parameters in explaining the power failure occurrences. The result could provide important information to the distribution system operator for implementing strategies to prevent and mitigate incoming failures. publishedVersion Article in Journal/Newspaper Arctic Northern Norway NORCE vitenarkiv (Norwegian Research Centre) Arctic Norway Energies 15 1 305 |
institution |
Open Polar |
collection |
NORCE vitenarkiv (Norwegian Research Centre) |
op_collection_id |
ftnorce |
language |
English |
description |
Electric failures are a problem for customers and grid operators. Identifying causes and localizing the source of failures in the grid is critical. Here, we focus on a specific power grid in the Arctic region of Northern Norway. First, we collected data pertaining to the grid topology, the topography of the area, the historical meteorological data, and the historical energy consumption/production data. Then, we exploited statistical and machine-learning techniques to predict the occurrence of failures. The classification models achieve good performance, meaning that there is a significant relationship between the collected variables and fault occurrence. Thus, we interpreted the variables that mostly explain the classification results to be the main driving factors of power interruption. Wind speed of gust and local industry activity are found to be the main controlling parameters in explaining the power failure occurrences. The result could provide important information to the distribution system operator for implementing strategies to prevent and mitigate incoming failures. publishedVersion |
format |
Article in Journal/Newspaper |
author |
Eikeland, Odin Foldvik Bianchi, Filippo Maria Holmestrand, Inga Setså Bakkejord, Sigurd Santos, Sergio Chiesa, Matteo |
spellingShingle |
Eikeland, Odin Foldvik Bianchi, Filippo Maria Holmestrand, Inga Setså Bakkejord, Sigurd Santos, Sergio Chiesa, Matteo Uncovering Contributing Factors to Interruptions in the Power Grid: An Arctic Case |
author_facet |
Eikeland, Odin Foldvik Bianchi, Filippo Maria Holmestrand, Inga Setså Bakkejord, Sigurd Santos, Sergio Chiesa, Matteo |
author_sort |
Eikeland, Odin Foldvik |
title |
Uncovering Contributing Factors to Interruptions in the Power Grid: An Arctic Case |
title_short |
Uncovering Contributing Factors to Interruptions in the Power Grid: An Arctic Case |
title_full |
Uncovering Contributing Factors to Interruptions in the Power Grid: An Arctic Case |
title_fullStr |
Uncovering Contributing Factors to Interruptions in the Power Grid: An Arctic Case |
title_full_unstemmed |
Uncovering Contributing Factors to Interruptions in the Power Grid: An Arctic Case |
title_sort |
uncovering contributing factors to interruptions in the power grid: an arctic case |
publishDate |
2022 |
url |
https://hdl.handle.net/11250/2997165 https://doi.org/10.3390/en15010305 |
geographic |
Arctic Norway |
geographic_facet |
Arctic Norway |
genre |
Arctic Northern Norway |
genre_facet |
Arctic Northern Norway |
op_source |
Energies |
op_relation |
urn:issn:1996-1073 https://hdl.handle.net/11250/2997165 https://doi.org/10.3390/en15010305 cristin:1977820 |
op_rights |
Navngivelse 4.0 Internasjonal http://creativecommons.org/licenses/by/4.0/deed.no © 2022 by the authors |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.3390/en15010305 |
container_title |
Energies |
container_volume |
15 |
container_issue |
1 |
container_start_page |
305 |
_version_ |
1766326843099578368 |