Wind plant power optimization through yaw control using a parametric model for wake effects - A CFD simulation study

Paul Fleming, P. M. Gebraad, F. Teeuwisse, J. van Wingerden, S. Ruben, J. Marden, L. Pao

Research output: Contribution to journalArticlepeer-review

439 Scopus Citations

Abstract

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.

Original languageAmerican English
Pages (from-to)95-114
Number of pages20
JournalWind Energy
Volume19
Issue number1
DOIs
StatePublished - 2016

Bibliographical note

Publisher Copyright:
Copyright © 2014 John Wiley & Sons, Ltd.

NREL Publication Number

  • NREL/JA-5000-61823

Keywords

  • optimization
  • wind plant control
  • wind turbine wakes
  • wind turbine yaw control

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