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Data set for power system reliability analysis using a four-area test network

This article presents a test data set combining data relevant for power system reliability analysis, including network data, reliability data, basic interruption cost data, and exemplary operating state data. The data set originated as a data set for testing power market models with network constrai...

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Detalles Bibliográficos
Autores principales: Sperstad, Iver Bakken, Solvang, Espen Hafstad, Jakobsen, Sigurd Hofsmo, Gjerde, Oddbjørn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7666321/
https://www.ncbi.nlm.nih.gov/pubmed/33225032
http://dx.doi.org/10.1016/j.dib.2020.106495
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author Sperstad, Iver Bakken
Solvang, Espen Hafstad
Jakobsen, Sigurd Hofsmo
Gjerde, Oddbjørn
author_facet Sperstad, Iver Bakken
Solvang, Espen Hafstad
Jakobsen, Sigurd Hofsmo
Gjerde, Oddbjørn
author_sort Sperstad, Iver Bakken
collection PubMed
description This article presents a test data set combining data relevant for power system reliability analysis, including network data, reliability data, basic interruption cost data, and exemplary operating state data. The data set originated as a data set for testing power market models with network constraints and was later extended for use in integrated power market and power system reliability analyses. The network model consists of 25 buses and four price (market) areas representing small regions of the Nordic power system. Three of the areas are meshed but with relatively weak connections between them, and a fourth area is represented by a single bus connected by an HVDC cable. Reliability data (failure rates and outage times) are based on statistics from the Norwegian standardised system FASIT for collection, calculation and reporting of disturbance and reliability data.
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spelling pubmed-76663212020-11-20 Data set for power system reliability analysis using a four-area test network Sperstad, Iver Bakken Solvang, Espen Hafstad Jakobsen, Sigurd Hofsmo Gjerde, Oddbjørn Data Brief Data Article This article presents a test data set combining data relevant for power system reliability analysis, including network data, reliability data, basic interruption cost data, and exemplary operating state data. The data set originated as a data set for testing power market models with network constraints and was later extended for use in integrated power market and power system reliability analyses. The network model consists of 25 buses and four price (market) areas representing small regions of the Nordic power system. Three of the areas are meshed but with relatively weak connections between them, and a fourth area is represented by a single bus connected by an HVDC cable. Reliability data (failure rates and outage times) are based on statistics from the Norwegian standardised system FASIT for collection, calculation and reporting of disturbance and reliability data. Elsevier 2020-11-04 /pmc/articles/PMC7666321/ /pubmed/33225032 http://dx.doi.org/10.1016/j.dib.2020.106495 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Sperstad, Iver Bakken
Solvang, Espen Hafstad
Jakobsen, Sigurd Hofsmo
Gjerde, Oddbjørn
Data set for power system reliability analysis using a four-area test network
title Data set for power system reliability analysis using a four-area test network
title_full Data set for power system reliability analysis using a four-area test network
title_fullStr Data set for power system reliability analysis using a four-area test network
title_full_unstemmed Data set for power system reliability analysis using a four-area test network
title_short Data set for power system reliability analysis using a four-area test network
title_sort data set for power system reliability analysis using a four-area test network
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7666321/
https://www.ncbi.nlm.nih.gov/pubmed/33225032
http://dx.doi.org/10.1016/j.dib.2020.106495
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