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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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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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 |
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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 |
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