Open AccessWind plant power optimization through yaw control using a parametric model for wake effects—a CFD simulation study
Author(s) -
Gebraad P. M. O.,
Teeuwisse F. W.,
Wingerden J. W.,
Fleming P. A.,
Ruben S. D.,
Marden J. R.,
Pao L. Y.
Publication year - 2016
Publication title -
wind energy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.743
H-Index - 92
eISSN - 1099-1824
pISSN - 1095-4244
DOI - 10.1002/we.1822
Subject(s) - wake , computational fluid dynamics , wind power , marine engineering , parametric statistics , engineering , power (physics) , automotive engineering , aerospace engineering , simulation , environmental science , physics , electrical engineering , mathematics , statistics , quantum mechanics
This article presents a wind plant control strategy that optimizes the yaw settings of wind turbines for improved energy production of the whole wind plant by taking into account wake effects. The optimization controller is based on a novel internal parametric model for wake effects called the FLOw Redirection and Induction in Steady‐state (FLORIS) model. The FLORIS model predicts the steady‐state wake locations and the effective flow velocities at each turbine, and the resulting turbine electrical energy production levels, as a function of the axial induction and the yaw angle of the different rotors. The FLORIS model has a limited number of parameters that are estimated based on turbine electrical power production data. In high‐fidelity computational fluid dynamics simulations of a small wind plant, we demonstrate that the optimization control based on the FLORIS model increases the energy production of the wind plant, with a reduction of loads on the turbines as an additional effect. Copyright © 2014 John Wiley & Sons, Ltd.