Control Strategy to Maximize Power Extraction in Wind Turbine

Authors

  • R. Saravanakumar Electrical Engineering in the specialization of Control and Instrumentation Engineering from Regional Centre, Anna University Coimbatore, India
  • Dr. Debashisha Jena Control System Engineering from the Department of Electrical Engineering, National Institute of Technology, Rourkela, India

DOI:

https://doi.org/10.13052/dgaej2156-3306.3142

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, Electrical Engineering in the specialization of Control and Instrumentation Engineering from Regional Centre, Anna University Coimbatore, 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

Dr. Debashisha Jena, Control System Engineering from the Department of Electrical Engineering, National Institute of Technology, Rourkela, 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

2016-10-25

How to Cite

Saravanakumar, R. ., & Jena, D. D. . (2016). Control Strategy to Maximize Power Extraction in Wind Turbine. Distributed Generation &Amp; Alternative Energy Journal, 31(4), 27–49. https://doi.org/10.13052/dgaej2156-3306.3142

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