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Active tip deflection control for wind turbines

journal contribution
posted on 2021-03-22, 10:32 authored by Jaime Liew, Wai Hou Lio, Albert Meseguer Urbán, Jessica Holierhoek, Taeseong Kim
This paper studies the use of blade tip sensors for load reductions and blade-tower clearance control. Typically, modern blade tip sensors measure flapwise tip deflection distances at a high sampling rate, and such measurements can be utilised as feedback signals for control operations. Thus, this paper proposes a novel blade pitch control design based on the tip deflection measurements and individual pitch control (IPC). Firstly, an IPC system design is presented, using the tip deflection measurements to alleviate turbine fatigue loads caused by differential loads such as wind shear, yaw misalignment and turbulence. Secondly, a novel implementation of IPC with tip trajectory tracking feature is proposed where the blade tips are guided along a fixed trajectory to maximise blade-tower clearance. The motivation of this implementation is to reduce the chance of blade-tower interactions for large and flexible rotors. The presented controller is implemented in HAWC2, and high fidelity load measurements are produced using the DTU10MW reference wind turbine. The simulation results showed that the fatigue damage reduction on key turbine components and the improved blade-tower clearance can be achieved simultaneously. Lifetime equivalent load reductions were seen in both rotating and fixed frame components under the normal operating conditions.

Funding

Korea Institute of Energy Technology Evaluation and Planning (KETEP)

Ministry of Trade, Industry & Energy (MOTIE) of the Republic of Korea (no. 20168520021200)

Korea Institute of Energy Research (KIER) (B9-2463-05)

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Research Unit

  • Centre for Renewable Energy Systems Technology (CREST)

Published in

Renewable Energy

Volume

149

Pages

445 - 454

Publisher

Elsevier BV

Version

  • VoR (Version of Record)

Rights holder

© Elsevier

Publisher statement

This paper was accepted for publication in the journal Renewable Energy and the definitive published version is available at https://doi.org/10.1016/j.renene.2019.12.036.

Acceptance date

2019-12-08

Publication date

2019-12-18

Copyright date

2019

ISSN

0960-1481

eISSN

1879-0682

Language

  • en

Depositor

Prof Taeseong Kim. Deposit date: 22 March 2021

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