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Synchronization in electric power networks with inherent heterogeneity up to 100% inverter-based renewable generation
The synchronized operation of power generators is the foundation of electric power network stability and a key to the prevention of undesired power outages and blackouts. Here, we derive the conditions that guarantee synchronization in power networks with inherent generator heterogeneity when subjec...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9072397/ https://www.ncbi.nlm.nih.gov/pubmed/35513388 http://dx.doi.org/10.1038/s41467-022-30164-3 |
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author | Sajadi, Amirhossein Kenyon, Rick Wallace Hodge, Bri-Mathias |
author_facet | Sajadi, Amirhossein Kenyon, Rick Wallace Hodge, Bri-Mathias |
author_sort | Sajadi, Amirhossein |
collection | PubMed |
description | The synchronized operation of power generators is the foundation of electric power network stability and a key to the prevention of undesired power outages and blackouts. Here, we derive the conditions that guarantee synchronization in power networks with inherent generator heterogeneity when subjected to small perturbations, and perform a parametric sensitivity analysis to understand synchronization with varied types of generators. As inverter-based resources, which are the primary interfacing technology for many renewable sources of energy, have supplanted synchronous generators in ever growing numbers, the center of attention on associated integration challenges have resided primarily on the role of declining system inertia. Our results instead highlight the critical role of generator damping in achieving a stable state of synchronization. Additionally, we report the feasibility of operating interconnected electric grids with up to 100% power contribution from inverter-based renewable generation technologies. Our study has important implications as it sets the basis for the development of advanced control architectures and grid optimization methods that ensure synchronization and further pave the path towards the decarbonization of the electric power sector. |
format | Online Article Text |
id | pubmed-9072397 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-90723972022-05-07 Synchronization in electric power networks with inherent heterogeneity up to 100% inverter-based renewable generation Sajadi, Amirhossein Kenyon, Rick Wallace Hodge, Bri-Mathias Nat Commun Article The synchronized operation of power generators is the foundation of electric power network stability and a key to the prevention of undesired power outages and blackouts. Here, we derive the conditions that guarantee synchronization in power networks with inherent generator heterogeneity when subjected to small perturbations, and perform a parametric sensitivity analysis to understand synchronization with varied types of generators. As inverter-based resources, which are the primary interfacing technology for many renewable sources of energy, have supplanted synchronous generators in ever growing numbers, the center of attention on associated integration challenges have resided primarily on the role of declining system inertia. Our results instead highlight the critical role of generator damping in achieving a stable state of synchronization. Additionally, we report the feasibility of operating interconnected electric grids with up to 100% power contribution from inverter-based renewable generation technologies. Our study has important implications as it sets the basis for the development of advanced control architectures and grid optimization methods that ensure synchronization and further pave the path towards the decarbonization of the electric power sector. Nature Publishing Group UK 2022-05-05 /pmc/articles/PMC9072397/ /pubmed/35513388 http://dx.doi.org/10.1038/s41467-022-30164-3 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Sajadi, Amirhossein Kenyon, Rick Wallace Hodge, Bri-Mathias Synchronization in electric power networks with inherent heterogeneity up to 100% inverter-based renewable generation |
title | Synchronization in electric power networks with inherent heterogeneity up to 100% inverter-based renewable generation |
title_full | Synchronization in electric power networks with inherent heterogeneity up to 100% inverter-based renewable generation |
title_fullStr | Synchronization in electric power networks with inherent heterogeneity up to 100% inverter-based renewable generation |
title_full_unstemmed | Synchronization in electric power networks with inherent heterogeneity up to 100% inverter-based renewable generation |
title_short | Synchronization in electric power networks with inherent heterogeneity up to 100% inverter-based renewable generation |
title_sort | synchronization in electric power networks with inherent heterogeneity up to 100% inverter-based renewable generation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9072397/ https://www.ncbi.nlm.nih.gov/pubmed/35513388 http://dx.doi.org/10.1038/s41467-022-30164-3 |
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