Reducing wind farm power variance from wind direction using wind farm layout optimization. Issue 6 (December 2021)

• Record Type: Journal Article
• Authors: Gagakuma, Bertelsen; Stanley, Andrew P J; Ning, Andrew
• Is Part Of: Wind engineering. Volume 45:Issue 6(2021)
• Page Start: 1517
• Page End: 1530
• Publication Date: 2021-12
• Subjects: Wind farm layout optimization -- variance reduction -- mean wind power -- wind power variance; Wind-pressure -- Periodicals; Winds -- Periodicals; Wind power -- Periodicals; Engineering meteorology -- Periodicals; Pression du vent; Vents; Énergie éolienne; Météorologie appliquée; Engineering meteorology; Wind power; Wind-pressure; Winds; Periodicals; 621.4505
• DOI: 10.1177/0309524X20988288
• Languages: English
• ISSNs: 0309-524X

Abstract

This paper investigates reducing power variance caused by different wind directions by using wind farm layout optimization. The problem was formulated as a multi-objective optimization. Theε − constraint method was used to solve the bi-objective problem in a two-step optimization framework where two sequential optimizations were performed. The first was maximizing the mean wind farm power alone and the second was minimizing the power variance with a constraint on the mean power. The results show that the variance in power estimates can be greatly reduced, by as much as30 %, without sacrificing mean plant power for the different farm sizes and wind conditions studied. This reduction is attributed to the multi-modality of the design space which allows for unique solutions of high mean plant power with different power variances due to varying wind direction. Thus, wind farms can be designed to maximize power capture with greater confidence.