A predictive control framework for optimal energy extraction of wind farms

Conference paper (2016)

Authors

M. Vali ForWind - Center for Wind Energy Research, University of Oldenburg
J.W. van Wingerden Team Raf Van de Plas - Mechanical, Maritime and Materials Engineering
S. Boersma Team Raf Van de Plas - Mechanical, Maritime and Materials Engineering
Vlaho Petrović University of Oldenburg
M Kuhn University of Oldenburg
Research Group
Team Raf Van de Plas (Mechanical, Maritime and Materials Engineering) (TU Delft)
Copyright: © 2016 M. Vali, J.W. van Wingerden, S. Boersma, V. Petrović, M. Kühn
DOI: https://doi.org/10.1088/1742-6596/753/5/052013
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Published Date

2016

Language

English

Faculty

Mechanical, Maritime and Materials Engineering

Department

Delft Center for Systems and Control

Research Group

Team Raf Van de Plas

Abstract

This paper proposes an adjoint-based model predictive control for optimal energy extraction of wind farms. It employs the axial induction factor of wind turbines to influence their aerodynamic interactions through the wake. The performance index is defined here as the total power production of the wind farm over a finite prediction horizon. A medium-fidelity wind farm model is utilized to predict the inflow propagation in advance. The adjoint method is employed to solve the formulated optimization problem in a cost effective way and the first part of the optimal solution is implemented over the control horizon. This procedure is repeated at the next controller sample time providing the feedback into the optimization. The effectiveness and some key features of the proposed approach are studied for a two turbine test case through simulations.