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Load mitigation and power tracking capability for wind turbines using linear matrix inequality-based control design

  • Florian Pöschke*
  • , Eckhard Gauterin
  • , Martin Kühn
  • , Jens Fortmann
  • , Horst Schulte
  • *Corresponding author for this work

Research output: Journal contributionsJournal articlesResearchpeer-review

22 Citations (Scopus)

Abstract

This article deals with nonlinear model-based control design for wind turbines. By systematically integrating several mechanical degrees of freedom in the control design model, the load mitigation potential from the proposed multivariable control framework is demonstrated. The application of the linear matrix inequality (LMI)-based control design is discussed in detail. Apart from the commonly considered power production mode, an extended operating range to provide stabilization of the electrical grid through power tracking is considered. This control functionality allows for an evaluation of the resulting fatigue and ultimate loads for power tracking at different dynamic requirements. The results indicate that under the impact of a dedicated control scheme, this functionality is feasible with respect to the occurring loads and operational behavior of the wind turbine.

Original languageEnglish
JournalWind Energy
Volume23
Issue number9
Pages (from-to)1792-1809
Number of pages18
ISSN1095-4244
DOIs
Publication statusPublished - 01.09.2020
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2020 The Authors. Wind Energy published by John Wiley & Sons Ltd.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Research areas and keywords

  • damage equivalent load
  • grid stabilization
  • load reduction
  • model-based control
  • power tracking
  • ultimate load
  • wind speed estimation
  • wind turbine control
  • Engineering

ASJC Scopus Subject Areas

  • Renewable Energy, Sustainability and the Environment

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