Optimization of wind farm portfolios for minimizing overall power fluctuations at selective frequencies – a case study of the Faroe Islands
Hourly modeled wind turbine power output time series – modeled based on outputs from the mesoscale numerical weather prediction system Weather Research and Forecasting Model (WRF) – are used to examine the spatial smoothing of various wind farm portfolios located on a complex isolated island group w...
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Copernicus Publications
2022
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Online Access: | https://doi.org/10.5194/wes-7-2335-2022 https://noa.gwlb.de/receive/cop_mods_00063711 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00062686/wes-7-2335-2022.pdf https://wes.copernicus.org/articles/7/2335/2022/wes-7-2335-2022.pdf |
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ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00063711 2023-05-15T16:11:02+02:00 Optimization of wind farm portfolios for minimizing overall power fluctuations at selective frequencies – a case study of the Faroe Islands Poulsen, Turið Niclasen, Bárður A. Giebel, Gregor Beyer, Hans Georg 2022-12 electronic https://doi.org/10.5194/wes-7-2335-2022 https://noa.gwlb.de/receive/cop_mods_00063711 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00062686/wes-7-2335-2022.pdf https://wes.copernicus.org/articles/7/2335/2022/wes-7-2335-2022.pdf eng eng Copernicus Publications Wind Energy Science -- http://www.wind-energy-science.net/ -- http://www.bibliothek.uni-regensburg.de/ezeit/?2846783 -- 2366-7451 https://doi.org/10.5194/wes-7-2335-2022 https://noa.gwlb.de/receive/cop_mods_00063711 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00062686/wes-7-2335-2022.pdf https://wes.copernicus.org/articles/7/2335/2022/wes-7-2335-2022.pdf https://creativecommons.org/licenses/by/4.0/ uneingeschränkt info:eu-repo/semantics/openAccess CC-BY article Verlagsveröffentlichung article Text doc-type:article 2022 ftnonlinearchiv https://doi.org/10.5194/wes-7-2335-2022 2022-12-05T00:12:17Z Hourly modeled wind turbine power output time series – modeled based on outputs from the mesoscale numerical weather prediction system Weather Research and Forecasting Model (WRF) – are used to examine the spatial smoothing of various wind farm portfolios located on a complex isolated island group with a surface area of 1400 km2. Power spectral densities (PSDs), hourly step-change functions, and duration curves are generated, and the 5th and 95th percentiles and the standard deviations of the hourly step-change functions are calculated. The spatial smoothing is identified from smaller high-frequency PSD amplitudes, lower hourly fluctuations, and more flat duration curves per installed wind power capacity, compared with single wind turbine outputs. A discussion on the limitation of the spatial smoothing for the region is included, where a smoothing effect is observed for periods of up to 1–2 d, although it is most evident at higher frequencies. By maximizing the smoothing effect, optimal wind farm portfolios are presented with the intention of minimizing overall wind power fluctuations. The focus is mainly on the smoothing effect on the 1–3 h timescale, during which the coherency between wind farm power outputs is expected to be dependent on how the regional weather travels between local sites, thereby making optimizations of wind farm portfolios relevant – in contrast to a focus on either lower or higher frequencies on the scale of days or minutes, respectively, during which wind farm power output time series are expected to be either close to fully coherent due to the same weather conditions covering a small region or not coherent as the turbulences in separate wind farm locations are expected to be uncorrelated. Results show that an optimization of the wind farm capacities at 14 pre-defined wind farm site locations has a minimal improvement on the hourly fluctuations compared with a portfolio with equally weighted wind farm capacities. However, choosing optimized combinations of individual wind farm site ... Article in Journal/Newspaper Faroe Islands Niedersächsisches Online-Archiv NOA Faroe Islands Wind Energy Science 7 6 2335 2350 |
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article Verlagsveröffentlichung |
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article Verlagsveröffentlichung Poulsen, Turið Niclasen, Bárður A. Giebel, Gregor Beyer, Hans Georg Optimization of wind farm portfolios for minimizing overall power fluctuations at selective frequencies – a case study of the Faroe Islands |
topic_facet |
article Verlagsveröffentlichung |
description |
Hourly modeled wind turbine power output time series – modeled based on outputs from the mesoscale numerical weather prediction system Weather Research and Forecasting Model (WRF) – are used to examine the spatial smoothing of various wind farm portfolios located on a complex isolated island group with a surface area of 1400 km2. Power spectral densities (PSDs), hourly step-change functions, and duration curves are generated, and the 5th and 95th percentiles and the standard deviations of the hourly step-change functions are calculated. The spatial smoothing is identified from smaller high-frequency PSD amplitudes, lower hourly fluctuations, and more flat duration curves per installed wind power capacity, compared with single wind turbine outputs. A discussion on the limitation of the spatial smoothing for the region is included, where a smoothing effect is observed for periods of up to 1–2 d, although it is most evident at higher frequencies. By maximizing the smoothing effect, optimal wind farm portfolios are presented with the intention of minimizing overall wind power fluctuations. The focus is mainly on the smoothing effect on the 1–3 h timescale, during which the coherency between wind farm power outputs is expected to be dependent on how the regional weather travels between local sites, thereby making optimizations of wind farm portfolios relevant – in contrast to a focus on either lower or higher frequencies on the scale of days or minutes, respectively, during which wind farm power output time series are expected to be either close to fully coherent due to the same weather conditions covering a small region or not coherent as the turbulences in separate wind farm locations are expected to be uncorrelated. Results show that an optimization of the wind farm capacities at 14 pre-defined wind farm site locations has a minimal improvement on the hourly fluctuations compared with a portfolio with equally weighted wind farm capacities. However, choosing optimized combinations of individual wind farm site ... |
format |
Article in Journal/Newspaper |
author |
Poulsen, Turið Niclasen, Bárður A. Giebel, Gregor Beyer, Hans Georg |
author_facet |
Poulsen, Turið Niclasen, Bárður A. Giebel, Gregor Beyer, Hans Georg |
author_sort |
Poulsen, Turið |
title |
Optimization of wind farm portfolios for minimizing overall power fluctuations at selective frequencies – a case study of the Faroe Islands |
title_short |
Optimization of wind farm portfolios for minimizing overall power fluctuations at selective frequencies – a case study of the Faroe Islands |
title_full |
Optimization of wind farm portfolios for minimizing overall power fluctuations at selective frequencies – a case study of the Faroe Islands |
title_fullStr |
Optimization of wind farm portfolios for minimizing overall power fluctuations at selective frequencies – a case study of the Faroe Islands |
title_full_unstemmed |
Optimization of wind farm portfolios for minimizing overall power fluctuations at selective frequencies – a case study of the Faroe Islands |
title_sort |
optimization of wind farm portfolios for minimizing overall power fluctuations at selective frequencies – a case study of the faroe islands |
publisher |
Copernicus Publications |
publishDate |
2022 |
url |
https://doi.org/10.5194/wes-7-2335-2022 https://noa.gwlb.de/receive/cop_mods_00063711 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00062686/wes-7-2335-2022.pdf https://wes.copernicus.org/articles/7/2335/2022/wes-7-2335-2022.pdf |
geographic |
Faroe Islands |
geographic_facet |
Faroe Islands |
genre |
Faroe Islands |
genre_facet |
Faroe Islands |
op_relation |
Wind Energy Science -- http://www.wind-energy-science.net/ -- http://www.bibliothek.uni-regensburg.de/ezeit/?2846783 -- 2366-7451 https://doi.org/10.5194/wes-7-2335-2022 https://noa.gwlb.de/receive/cop_mods_00063711 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00062686/wes-7-2335-2022.pdf https://wes.copernicus.org/articles/7/2335/2022/wes-7-2335-2022.pdf |
op_rights |
https://creativecommons.org/licenses/by/4.0/ uneingeschränkt info:eu-repo/semantics/openAccess |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.5194/wes-7-2335-2022 |
container_title |
Wind Energy Science |
container_volume |
7 |
container_issue |
6 |
container_start_page |
2335 |
op_container_end_page |
2350 |
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1765996151276830720 |