Control Strategy to Maximize Power Extraction in Wind Turbine

  • R. Saravanakumar National Institute of Technology Karnataka, Surathkal, Mangalore-575025, India
  • Debashisha Jena National Institute of Technology Karnataka, Surathkal, Mangalore-575025, India
Keywords: Variable speed Wind turbine, Integral sliding mode controller, Modified Newton Raphson, ATF and ISC

Abstract

This article deals with nonlinear control of variable speed wind turbine (VSWT), where the dynamics of the wind turbine (WT) is obtained from a single mass model. The main objective of this work is to maximize the energy capture form the wind with reduced oscillation on the drive train. The generator torque is considered as the control input to the WT. In general the conventional control techniques such as Aerodynamic Torque Feed-Forward (ATF) and Indirect Speed Control (ISC) are unable to track the dynamic aspect of the WT. To overcome the above drawbacks the nonlinear controllers such Sliding Mode Controller (SMC) and SMC with integral action (ISMC) with the estimation of effective wind speed are proposed. The Modified Newton Raphson (MNR) is used to estimate the effective wind speed from aero dynamic torque and rotor speed. The proposed controller is tested with different wind profiles with the presence of disturbances and model uncertainty. From the results the proposed controller was found to be suitable in maintaining a trade-off between the maximum energy capture and reduced transient on the drive train. Finally both the controllers are validated by using FAST (Fatigue, Aerodynamics, Structures, and Turbulence) WT simulator.

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Author Biographies

R. Saravanakumar, National Institute of Technology Karnataka, Surathkal, Mangalore-575025, India

R. Saravanakumar received Master degree in Electrical Engineering in the specialization of Control and Instrumentation Engineering from Regional Centre, Anna University Coimbatore, India 2010. Currently he is pursuing the Ph.D. degree in the Department of Electrical & Electronics Engineering, National Institute of Technology Karnataka, Surathkal, India. His research interests include Evolutionary Computation, System Identification and Control.

Debashisha Jena, National Institute of Technology Karnataka, Surathkal, Mangalore-575025, India

Dr. Debashisha Jena has received a Bachelor of Electrical Engineering degree from University College of Engineering, Burla, India, in 1996 and Master of Technology in Electrical Engineering in 2004 and Ph.D. degree in Control System Engineering from the Department of Electrical Engineering, National Institute of Technology, Rourkela, India 2010. He was awarded a GSEP fellowship in 2008 from Canada for research in control and automation. Currently he is an Assistant Professor in the Department of Electrical & Electronics Engineering in the National Institute of Technology Karnataka, Surathkal, Mangalore, India. His research interests include Evolutionary Computation, System Identification and Neuro-evolutionary computation. Corresponding Author: Debashisha Jena, bapu4002@gmail.com

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Published
2016-09-01
Section
Articles