Lidar assisted wake redirection in wind farms: A data driven approach

RENEWABLE ENERGY

卷:152

Article

Dhiman, Harsh S.¹  Deb, Dipankar¹  Foley, Aoife M.² 

[1] Inst Infrastruct Technol Res & Management, Dept Elect Engn, Ahmadabad 380026, Gujarat, India

[2] Queens Univ, Sch Mech & Aerosp Engn, Belfast BT9 5AH, Antrim, North Ireland

关键词: Center of Wake;    Lidar;    Transfer function;    Velocity deficit;    Yaw angle;    Wake effect;   

DOI  :  10.1016/j.renene.2020.01.027

来源: Elsevier

【 摘 要 】

Lidar based wind measurement is an integral part of wind farm control. The major issues and challenges in power maximization include the potential losses due to wake effect observed among wind turbines. This manuscript presents a wake management technique that utilizes lidar simulations for wake redirection. The proposed methodology is validated for 2-turbine and 15-turbine wind farm layouts involving a PI control based yaw angle correction. Yaw angle misalignment using wake center tracking of the upstream turbines is used to increase the power generation levels. Results of wake center estimation are compared with a Kalman filter based method. Further, the velocity deficit and overall farm power improvement by yaw angle correction is calculated. Results reveal a 1.7% and 0.675% increase in total wind farm power for two different wind speed cases. (C) 2020 Published by Elsevier Ltd.

【 授权许可】

Free