Maximization of the annual energy production of wind power plants by optimization of layout and yaw‐based wake control. Issue 1 (24th May 2016)

• Record Type: Journal Article
• Authors: Gebraad, Pieter; Thomas, Jared J.; Ning, Andrew; Fleming, Paul; Dykes, Katherine
• Is Part Of: Wind energy. Volume 20:Issue 1(2017)
• Page Start: 97
• Page End: 107
• Publication Date: 2016-05-24
• Subjects: wind plant optimization -- wind turbine control -- wind turbine wakes -- wind plant systems engineering; Wind power -- Periodicals; 621.312136
• DOI: 10.1002/we.1993
• Languages: English
• ISSNs: 1095-4244

Abstract

Abstract: This paper presents a wind plant modeling and optimization tool that enables the maximization of wind plant annual energy production (AEP) using yaw‐based wake steering control and layout changes. The tool is an extension of a wake engineering model describing the steady‐state effects of yaw on wake velocity profiles and power productions of wind turbines in a wind plant. To make predictions of a wind plant's AEP, necessary extensions of the original wake model include coupling it with a detailed rotor model and a control policy for turbine blade pitch and rotor speed. This enables the prediction of power production with wake effects throughout a range of wind speeds. We use the tool to perform an example optimization study on a wind plant based on the Princess Amalia Wind Park. In this case study, combined optimization of layout and wake steering control increases AEP by 5%. The power gains from wake steering control are highest for region 1.5 inflow wind speeds, and they continue to be present to some extent for the above‐rated inflow wind speeds. The results show that layout optimization and wake steering are complementary because significant AEP improvements can be achieved with wake steering in a wind plant layout that is already optimized to reduce wake losses. Copyright © 2016 John Wiley & Sons, Ltd.