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Resilience of electricity grids against transmission line overloads under wind power injection at different nodes

A steadily increasing fraction of renewable energy sources for electricity production requires a better understanding of how stochastic power generation affects the stability of electricity grids. Here, we assess the resilience of an IEEE test grid against single transmission line overloads under wi...

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Detalles Bibliográficos
Autores principales: Schiel, Christoph, Lind, Pedro G., Maass, Philipp
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5599612/
https://www.ncbi.nlm.nih.gov/pubmed/28912454
http://dx.doi.org/10.1038/s41598-017-11465-w
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author Schiel, Christoph
Lind, Pedro G.
Maass, Philipp
author_facet Schiel, Christoph
Lind, Pedro G.
Maass, Philipp
author_sort Schiel, Christoph
collection PubMed
description A steadily increasing fraction of renewable energy sources for electricity production requires a better understanding of how stochastic power generation affects the stability of electricity grids. Here, we assess the resilience of an IEEE test grid against single transmission line overloads under wind power injection based on the dc power flow equations and a quasi-static grid response to wind fluctuations. Thereby we focus on the mutual influence of wind power generation at different nodes. We find that overload probabilities vary strongly between different pairs of nodes and become highly affected by spatial correlations of wind fluctuations. An unexpected behaviour is uncovered: for a large number of node pairs, increasing wind power injection at one node can increase the power threshold at the other node with respect to line overloads in the grid. We find that this seemingly paradoxical behaviour is related to the topological distance of the overloaded line from the shortest path connecting the wind nodes. In the considered test grid, it occurs for all node pairs, where the overloaded line belongs to the shortest path.
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spelling pubmed-55996122017-09-15 Resilience of electricity grids against transmission line overloads under wind power injection at different nodes Schiel, Christoph Lind, Pedro G. Maass, Philipp Sci Rep Article A steadily increasing fraction of renewable energy sources for electricity production requires a better understanding of how stochastic power generation affects the stability of electricity grids. Here, we assess the resilience of an IEEE test grid against single transmission line overloads under wind power injection based on the dc power flow equations and a quasi-static grid response to wind fluctuations. Thereby we focus on the mutual influence of wind power generation at different nodes. We find that overload probabilities vary strongly between different pairs of nodes and become highly affected by spatial correlations of wind fluctuations. An unexpected behaviour is uncovered: for a large number of node pairs, increasing wind power injection at one node can increase the power threshold at the other node with respect to line overloads in the grid. We find that this seemingly paradoxical behaviour is related to the topological distance of the overloaded line from the shortest path connecting the wind nodes. In the considered test grid, it occurs for all node pairs, where the overloaded line belongs to the shortest path. Nature Publishing Group UK 2017-09-14 /pmc/articles/PMC5599612/ /pubmed/28912454 http://dx.doi.org/10.1038/s41598-017-11465-w Text en © The Author(s) 2017 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
Schiel, Christoph
Lind, Pedro G.
Maass, Philipp
Resilience of electricity grids against transmission line overloads under wind power injection at different nodes
title Resilience of electricity grids against transmission line overloads under wind power injection at different nodes
title_full Resilience of electricity grids against transmission line overloads under wind power injection at different nodes
title_fullStr Resilience of electricity grids against transmission line overloads under wind power injection at different nodes
title_full_unstemmed Resilience of electricity grids against transmission line overloads under wind power injection at different nodes
title_short Resilience of electricity grids against transmission line overloads under wind power injection at different nodes
title_sort resilience of electricity grids against transmission line overloads under wind power injection at different nodes
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5599612/
https://www.ncbi.nlm.nih.gov/pubmed/28912454
http://dx.doi.org/10.1038/s41598-017-11465-w
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