Cargando…

Open database analysis of scaling and spatio-temporal properties of power grid frequencies

The electrical energy system has attracted much attention from an increasingly diverse research community. Many theoretical predictions have been made, from scaling laws of fluctuations to propagation velocities of disturbances. However, to validate any theory, empirical data from large-scale power...

Descripción completa

Detalles Bibliográficos
Autores principales: Rydin Gorjão, Leonardo, Jumar, Richard, Maass, Heiko, Hagenmeyer, Veit, Yalcin, G. Cigdem, Kruse, Johannes, Timme, Marc, Beck, Christian, Witthaut, Dirk, Schäfer, Benjamin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7732984/
https://www.ncbi.nlm.nih.gov/pubmed/33311505
http://dx.doi.org/10.1038/s41467-020-19732-7
_version_ 1783622192211165184
author Rydin Gorjão, Leonardo
Jumar, Richard
Maass, Heiko
Hagenmeyer, Veit
Yalcin, G. Cigdem
Kruse, Johannes
Timme, Marc
Beck, Christian
Witthaut, Dirk
Schäfer, Benjamin
author_facet Rydin Gorjão, Leonardo
Jumar, Richard
Maass, Heiko
Hagenmeyer, Veit
Yalcin, G. Cigdem
Kruse, Johannes
Timme, Marc
Beck, Christian
Witthaut, Dirk
Schäfer, Benjamin
author_sort Rydin Gorjão, Leonardo
collection PubMed
description The electrical energy system has attracted much attention from an increasingly diverse research community. Many theoretical predictions have been made, from scaling laws of fluctuations to propagation velocities of disturbances. However, to validate any theory, empirical data from large-scale power systems are necessary but are rarely shared openly. Here, we analyse an open database of measurements of electric power grid frequencies across 17 locations in 12 synchronous areas on three continents. The power grid frequency is of particular interest, as it indicates the balance of supply and demand and carries information on deterministic, stochastic, and control influences. We perform a broad analysis of the recorded data, compare different synchronous areas and validate a previously conjectured scaling law. Furthermore, we show how fluctuations change from local independent oscillations to a homogeneous bulk behaviour. Overall, the presented open database and analyses constitute a step towards more shared, collaborative energy research.
format Online
Article
Text
id pubmed-7732984
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-77329842020-12-17 Open database analysis of scaling and spatio-temporal properties of power grid frequencies Rydin Gorjão, Leonardo Jumar, Richard Maass, Heiko Hagenmeyer, Veit Yalcin, G. Cigdem Kruse, Johannes Timme, Marc Beck, Christian Witthaut, Dirk Schäfer, Benjamin Nat Commun Article The electrical energy system has attracted much attention from an increasingly diverse research community. Many theoretical predictions have been made, from scaling laws of fluctuations to propagation velocities of disturbances. However, to validate any theory, empirical data from large-scale power systems are necessary but are rarely shared openly. Here, we analyse an open database of measurements of electric power grid frequencies across 17 locations in 12 synchronous areas on three continents. The power grid frequency is of particular interest, as it indicates the balance of supply and demand and carries information on deterministic, stochastic, and control influences. We perform a broad analysis of the recorded data, compare different synchronous areas and validate a previously conjectured scaling law. Furthermore, we show how fluctuations change from local independent oscillations to a homogeneous bulk behaviour. Overall, the presented open database and analyses constitute a step towards more shared, collaborative energy research. Nature Publishing Group UK 2020-12-11 /pmc/articles/PMC7732984/ /pubmed/33311505 http://dx.doi.org/10.1038/s41467-020-19732-7 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Rydin Gorjão, Leonardo
Jumar, Richard
Maass, Heiko
Hagenmeyer, Veit
Yalcin, G. Cigdem
Kruse, Johannes
Timme, Marc
Beck, Christian
Witthaut, Dirk
Schäfer, Benjamin
Open database analysis of scaling and spatio-temporal properties of power grid frequencies
title Open database analysis of scaling and spatio-temporal properties of power grid frequencies
title_full Open database analysis of scaling and spatio-temporal properties of power grid frequencies
title_fullStr Open database analysis of scaling and spatio-temporal properties of power grid frequencies
title_full_unstemmed Open database analysis of scaling and spatio-temporal properties of power grid frequencies
title_short Open database analysis of scaling and spatio-temporal properties of power grid frequencies
title_sort open database analysis of scaling and spatio-temporal properties of power grid frequencies
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7732984/
https://www.ncbi.nlm.nih.gov/pubmed/33311505
http://dx.doi.org/10.1038/s41467-020-19732-7
work_keys_str_mv AT rydingorjaoleonardo opendatabaseanalysisofscalingandspatiotemporalpropertiesofpowergridfrequencies
AT jumarrichard opendatabaseanalysisofscalingandspatiotemporalpropertiesofpowergridfrequencies
AT maassheiko opendatabaseanalysisofscalingandspatiotemporalpropertiesofpowergridfrequencies
AT hagenmeyerveit opendatabaseanalysisofscalingandspatiotemporalpropertiesofpowergridfrequencies
AT yalcingcigdem opendatabaseanalysisofscalingandspatiotemporalpropertiesofpowergridfrequencies
AT krusejohannes opendatabaseanalysisofscalingandspatiotemporalpropertiesofpowergridfrequencies
AT timmemarc opendatabaseanalysisofscalingandspatiotemporalpropertiesofpowergridfrequencies
AT beckchristian opendatabaseanalysisofscalingandspatiotemporalpropertiesofpowergridfrequencies
AT witthautdirk opendatabaseanalysisofscalingandspatiotemporalpropertiesofpowergridfrequencies
AT schaferbenjamin opendatabaseanalysisofscalingandspatiotemporalpropertiesofpowergridfrequencies