Optimum gust detection by nacelle-based lidar: A study on the Vestas V52

Ásta Hannesdóttir*, Albert Meseguer Urbán, Filip Spasov, Antoine Larvol

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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Abstract

In this study we use lidar measurements from a four-beam nacelle mounted lidar, together with wind turbine load measurements, to analyse events that cause extreme blade flapwise loading on the Vestas V52 at Risø campus. We define a simple gust detection algorithm that is based on fitting a linear model to the line of sight velocity measurements in order to detect changes and fluctuations in the incoming wind field. The detection algorithm is run on a whole year of measurements and we perform an iterative parameter sweep using different values for two parameters of the gust detection method. These parameters are a slope threshold and slope duration of the linear fit. The blade loads that are associated with the detected gusts are analysed to find the optimum settings of the gust detection parameters. It was found that the most extreme observed blade load was detected for a range of parameters and by setting the slope threshold to 1.2 m/s2 and duration to 4 s, we could achieve the highest average load within the parameter range. On the other hand, the highest average blade load was found by setting the slope threshold to 1.4 m/s2 and duration to 8.5 s, though the most extreme load was not detected with those settings. The gust detection method shows potential to be used as an add-on solution to a traditional wind turbine controller to mitigate extreme loading during operation.
Original languageEnglish
Title of host publicationWind and Wind Farms; Measurement and Testing
Number of pages9
PublisherIOP Publishing
Publication date2022
Article number022072
DOIs
Publication statusPublished - 2022
EventThe Science of Making Torque from Wind 2022 - Delft, Netherlands
Duration: 1 Jun 20223 Jun 2022
Conference number: 9
https://www.torque2022.eu/

Conference

ConferenceThe Science of Making Torque from Wind 2022
Number9
Country/TerritoryNetherlands
CityDelft
Period01/06/202203/06/2022
Internet address
SeriesJournal of Physics: Conference Series
Number2
Volume2265
ISSN1742-6596

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