Predictive individual-pitch control architecture for wind turbine fatigue load reduction

Tuomas Haarnoja, Jari Kataja, Kari Tammi

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    Abstract

    The aim to decrease the price of wind energy compels wind turbines manufacturers to design yet larger wind power plants. The large dimensions set also demanding requirements for the rotor and support structure of the plant limiting the practical size of the plants. Due to this limitation, an old concept of IPC have been recently widely restudied. IPC targets to eliminate periodic loads resulting from the unsteady aerodynamic force in the blade by cyclically adjusting the blade pitch angle. Conventionally, this has been accomplished only on selected frequencies, because most of the energy associated to the disturbances is at the rotation frequency of the rotor. The most used concept, however, requires time to converge and does not much alleviate faster disturbances due to turbulent airflow. This paper suggests a new concept in which each blade pitch angle is controlled using predictive disturbance data from the two other blades. The preliminary simulation shows promising results in both fatigue load reduction and pitch motor usage
    Original languageEnglish
    Title of host publicationProceedings 2011 World Congress on Engineering and Technology
    Publication statusPublished - 2011
    MoE publication typeA4 Article in a conference publication
    Event2011 World Congress on Engineering and Technology, CET 2011 / International Conference on Power and Energy Engineering, CPEE - Shanghai, China
    Duration: 28 Oct 20112 Nov 2011

    Conference

    Conference2011 World Congress on Engineering and Technology, CET 2011 / International Conference on Power and Energy Engineering, CPEE
    Abbreviated titleCET 2011
    Country/TerritoryChina
    CityShanghai
    Period28/10/112/11/11

    Keywords

    • Individual pitch control
    • load rreduction
    • wind turbine control

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