Individual Pitch Control for Load Reduction Based on Norm Theory

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Abstract:

As the capacity of wind turbine increases, unsteady blade loads and performance caused by asymmetrical effects like turbulence, wind shear and tower shadow lead to fatigue loads which seriously affect wind turbine life cycle. This paper focused on wind turbine fatigue load response characteristics, built the multiple input multiple output linearized matrix model, introduced individual pitch control algorithm for optimized disturbance control based on norm theory. Modeling, simulation and verification of the control algorithm are conducted in Matlab. The investigation is conducted based on a 2MW doubly-fed wind turbine. By comparing the results of wind turbine deflection rate and angle deflection rate to collective pitch control method, it shows the individual pitch control algorithm can significantly reduce wind turbine fatigue load, and the control effect is superior to traditional control algorithm.

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1879-1883

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October 2013

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] T.G. van Engelen, D. Winkelaar, H. Markou(Risø), T. Buhl (Risø), B. Marrant (TU Delft), Mor-phological Study of Aeroelastic Control Concepts for Wind Turbines, StabCon Task-7 Report, to be published in May 2006, ECN Wind Energy, Petten, the Netherlands.

Google Scholar

[2] T. van Engelen. Design model and load reduction assessment for multi-rotational mode individual pitch control (higher harmonics control). In Proceedings of the European Wind Energy Conference, Athens, Greece, (2006).

Google Scholar

[3] GaoRuying. Independent blade pitch control for huge wind turbine [D]. In Chinese,. Tianjin University, (2009).

Google Scholar

[4] Liang Jingjing. Independent variable-pitch control strategy on optimizing the distribution of MW level wind turbine's load [D]. In Chinese,. Shenyang University of Technology, (2009).

Google Scholar