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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Published in:Wind Energy Science
Main Authors: Poulsen, Turið, Niclasen, Bárður A., Giebel, Gregor, Beyer, Hans Georg
Format: Article in Journal/Newspaper
Language:English
Published: 2022
Subjects:
Online Access:https://orbit.dtu.dk/en/publications/48c5fe8d-3a41-4320-a3e8-7910c9973299
https://doi.org/10.5194/wes-7-2335-2022
https://backend.orbit.dtu.dk/ws/files/302515045/PoulsenNiclasenGiebelBeyer_OptOWFPorfoliosFMinimizingOverallPowFluctsAtSelFrequenciesACaseStudyOTFaroeIslands_wes_7_2335_2022.pdf
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spelling ftdtupubl:oai:pure.atira.dk:publications/48c5fe8d-3a41-4320-a3e8-7910c9973299 2023-07-30T04:03:25+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 application/pdf https://orbit.dtu.dk/en/publications/48c5fe8d-3a41-4320-a3e8-7910c9973299 https://doi.org/10.5194/wes-7-2335-2022 https://backend.orbit.dtu.dk/ws/files/302515045/PoulsenNiclasenGiebelBeyer_OptOWFPorfoliosFMinimizingOverallPowFluctsAtSelFrequenciesACaseStudyOTFaroeIslands_wes_7_2335_2022.pdf eng eng info:eu-repo/semantics/openAccess Poulsen , T , Niclasen , B A , Giebel , G & Beyer , H G 2022 , ' Optimization of wind farm portfolios for minimizing overall power fluctuations at selective frequencies - a case study of the Faroe Islands ' , Wind Energy Science , vol. 7 , no. 6 , pp. 2335-2350 . https://doi.org/10.5194/wes-7-2335-2022 article 2022 ftdtupubl https://doi.org/10.5194/wes-7-2335-2022 2023-07-12T22:59:59Z 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 Technical University of Denmark: DTU Orbit Faroe Islands Wind Energy Science 7 6 2335 2350
institution Open Polar
collection Technical University of Denmark: DTU Orbit
op_collection_id ftdtupubl
language English
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
spellingShingle 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
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
publishDate 2022
url https://orbit.dtu.dk/en/publications/48c5fe8d-3a41-4320-a3e8-7910c9973299
https://doi.org/10.5194/wes-7-2335-2022
https://backend.orbit.dtu.dk/ws/files/302515045/PoulsenNiclasenGiebelBeyer_OptOWFPorfoliosFMinimizingOverallPowFluctsAtSelFrequenciesACaseStudyOTFaroeIslands_wes_7_2335_2022.pdf
geographic Faroe Islands
geographic_facet Faroe Islands
genre Faroe Islands
genre_facet Faroe Islands
op_source Poulsen , T , Niclasen , B A , Giebel , G & Beyer , H G 2022 , ' Optimization of wind farm portfolios for minimizing overall power fluctuations at selective frequencies - a case study of the Faroe Islands ' , Wind Energy Science , vol. 7 , no. 6 , pp. 2335-2350 . https://doi.org/10.5194/wes-7-2335-2022
op_rights info:eu-repo/semantics/openAccess
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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