An experimental investigation on the effect of individual turbine control on wind farm dynamics. Issue 8 (30th September 2015)

• Record Type: Journal Article
• Authors: Annoni, Jennifer; Howard, Kevin; Seiler, Peter; Guala, Michele
• Is Part Of: Wind energy. Volume 19:Issue 8(2016)
• Page Start: 1453
• Page End: 1467
• Publication Date: 2015-09-30
• Subjects: wind farm control -- wake interactions -- system identification -- wind farm dynamics; Wind power -- Periodicals; 621.312136
• DOI: 10.1002/we.1930
• Languages: English
• ISSNs: 1095-4244

Abstract

Abstract: Individual wind turbines in a wind farm typically operate to maximize their performance with no consideration of the impact of wake effects on downstream turbines. There is potential to increase power and reduce structural loads within a wind farm by properly coordinating the turbines. To effectively design and analyze coordinated wind turbine controllers requires control‐oriented turbine wake models of sufficient accuracy. This paper focuses on constructing such a model from experiments. The experiments were conducted to better understand the wake interaction and impact on voltage production in a three‐turbine array. The upstream turbine operating condition was modulated in time, and the dynamic impact on the downstream turbine was recorded through the voltage output time signal. The flow dynamics observed in the experiments were used to improve a static wake model often used in the literature for wind farm control. These experiments were performed in the atmospheric boundary layer wind tunnel at the Saint Anthony Falls Laboratory at the University of Minnesota using particle image velocimetry for flow field analysis and turbine voltage modulation to capture the physical evolution in addition to the dynamics of turbine wake interactions. Copyright © 2015 John Wiley & Sons, Ltd.