Gain scheduling control of variable speed WTG under widely varying turbulence loading

Endusa Billy Muhando, Tomonobu Senjyu, Naomitsu Urasaki, Atsushi Yona, Hiroshi Kinjo and Toshihisa Funabashi

Renewable Energy, 2007, vol. 32, issue 14, 2407-2423

Abstract: Probabilistic paradigms for wind turbine controller design have been gaining attention. Motivation derives from the need to replace outdated empirical-based designs with more physically relevant models. This paper proposes an adaptive controller in the form of a linear quadratic Gaussian (LQG) for control of a stall-regulated, variable speed wind turbine generator (WTG). In the control scheme, the strategy is twofold: maximization of energy captured from the wind and minimization of the damage caused by mechanical fatigue due to variation of torque peaks generated by wind gusts. Estimated aerodynamic torque and rotational speed are used to determine the most favorable control strategy to stabilize the plant at all operating points (OPs). The performance of the proposed controller is compared with the classical proportional-integral-derivative (PID) controller. The LQG is seen to be significantly more efficient especially in the alleviation of high aerodynamic torque variations and hence mechanical stresses on the plant drive train. Simulation results validate the effectiveness of the proposed method.

Keywords: Aerodynamic torque; LQG; Stall control; Turbulence; Wind turbine generator (search for similar items in EconPapers)
Date: 2007
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:32:y:2007:i:14:p:2407-2423

DOI: 10.1016/j.renene.2006.12.011

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