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Title: Wind Plant Power Optimization through Yaw Control using a Parametric Model for Wake Effects -- A CFD Simulation Study

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.
 [1] ;  [1] ;  [1] ;  [2] ;  [3] ;  [3] ;  [3]
  1. Delft Univ. of Technology (Netherlands). Delft Center for Systems and Control
  2. National Renewable Energy Lab. (NREL), Golden, CO (United States)
  3. Univ. of Colorado, Boulder, CO (United States)
Publication Date:
Report Number(s):
Journal ID: ISSN 1095-4244
Grant/Contract Number:
Accepted Manuscript
Journal Name:
Wind Energy
Additional Journal Information:
Journal Volume: 19; Journal Issue: 1; Journal ID: ISSN 1095-4244
Research Org:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Wind and Water Technologies Office (EE-4W)
Country of Publication:
United States
17 WIND ENERGY; wind plant control; wind turbine yaw control; wind turbine wakes; optimization
OSTI Identifier: