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An optimal control framework for dynamic induction control of wind farms and their interaction with the atmospheric boundary layer
Complex turbine wake interactions play an important role in overall energy extraction in large wind farms. Current control strategies optimize individual turbine power, and lead to significant energy losses in wind farms compared with lone-standing wind turbines. In recent work, an optimal coordinat...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society Publishing
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5346219/ https://www.ncbi.nlm.nih.gov/pubmed/28265024 http://dx.doi.org/10.1098/rsta.2016.0100 |
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author | Munters, W. Meyers, J. |
author_facet | Munters, W. Meyers, J. |
author_sort | Munters, W. |
collection | PubMed |
description | Complex turbine wake interactions play an important role in overall energy extraction in large wind farms. Current control strategies optimize individual turbine power, and lead to significant energy losses in wind farms compared with lone-standing wind turbines. In recent work, an optimal coordinated control framework was introduced (Goit & Meyers 2015 J. Fluid Mech. 768, 5–50 (doi:10.1017/jfm.2015.70)). Here, we further elaborate on this framework, quantify the influence of optimization parameters and introduce new simulation results for which gains in power production of up to 21% are observed. This article is part of the themed issue ‘Wind energy in complex terrains’. |
format | Online Article Text |
id | pubmed-5346219 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | The Royal Society Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-53462192017-03-27 An optimal control framework for dynamic induction control of wind farms and their interaction with the atmospheric boundary layer Munters, W. Meyers, J. Philos Trans A Math Phys Eng Sci Articles Complex turbine wake interactions play an important role in overall energy extraction in large wind farms. Current control strategies optimize individual turbine power, and lead to significant energy losses in wind farms compared with lone-standing wind turbines. In recent work, an optimal coordinated control framework was introduced (Goit & Meyers 2015 J. Fluid Mech. 768, 5–50 (doi:10.1017/jfm.2015.70)). Here, we further elaborate on this framework, quantify the influence of optimization parameters and introduce new simulation results for which gains in power production of up to 21% are observed. This article is part of the themed issue ‘Wind energy in complex terrains’. The Royal Society Publishing 2017-04-13 2017-03-06 /pmc/articles/PMC5346219/ /pubmed/28265024 http://dx.doi.org/10.1098/rsta.2016.0100 Text en © 2017 The Authors. http://creativecommons.org/licenses/by/4.0/ Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited. |
spellingShingle | Articles Munters, W. Meyers, J. An optimal control framework for dynamic induction control of wind farms and their interaction with the atmospheric boundary layer |
title | An optimal control framework for dynamic induction control of wind farms and their interaction with the atmospheric boundary layer |
title_full | An optimal control framework for dynamic induction control of wind farms and their interaction with the atmospheric boundary layer |
title_fullStr | An optimal control framework for dynamic induction control of wind farms and their interaction with the atmospheric boundary layer |
title_full_unstemmed | An optimal control framework for dynamic induction control of wind farms and their interaction with the atmospheric boundary layer |
title_short | An optimal control framework for dynamic induction control of wind farms and their interaction with the atmospheric boundary layer |
title_sort | optimal control framework for dynamic induction control of wind farms and their interaction with the atmospheric boundary layer |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5346219/ https://www.ncbi.nlm.nih.gov/pubmed/28265024 http://dx.doi.org/10.1098/rsta.2016.0100 |
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