A predictive control framework for optimal energy extraction of wind farms

M. Vali, J. W. Van Wingerden, S. Boersma, V. Petrović, M. Kühn

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

10 Citations (Scopus)
23 Downloads (Pure)

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.

Original languageEnglish
Title of host publicationJournal of Physics - Conference Series
Subtitle of host publicationThe Science of Making Torque from Wind
PublisherIOP Publishing
Number of pages11
Volume753
Edition D. Control and supporting technologies
DOIs
Publication statusPublished - 2016
EventTORQUE 2016: 6th International Conference "The Science of Making Torque from Wind" - Technische Universität München (TUM), Campus Garching, Munich, Germany
Duration: 5 Oct 20167 Oct 2016
https://www.events.tum.de/?sub=29

Publication series

NameJournal of Physics - Conference Series
PublisherIOP Publishing
Volume753
ISSN (Print)1742-6588
ISSN (Electronic)1742-6596

Conference

ConferenceTORQUE 2016: 6th International Conference "The Science of Making Torque from Wind"
CountryGermany
CityMunich
Period5/10/167/10/16
Internet address

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