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...

Full description

Bibliographic Details
Published in:Energies
Main Authors: Eikeland, Odin Foldvik, Bianchi, Filippo Maria, Holmestrand, Inga Setså, Bakkejord, Sigurd, Santos, Sergio, Chiesa, Matteo
Format: Article in Journal/Newspaper
Language:English
Published: 2022
Subjects:
Online Access:https://hdl.handle.net/11250/2997165
https://doi.org/10.3390/en15010305
id ftnorce:oai:norceresearch.brage.unit.no:11250/2997165
record_format openpolar
spelling 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