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.

Downloads

Download data is not yet available.

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

References

P.W. Carlin, a. S. Laxson, and E.B. Muljadi, “The History and State of the Art of

Variable-Speed Wind Turbine Technology,” Wind Energy, vol. 6, no. 2, pp. 129-159,

Apr. 2003.

Q. Wang, L. Chang, and S. Member, “An Intelligent Maximum Power Extraction

Algorithm for Inverter-Based Variable Speed Wind Turbine Systems,” IEEE Transactions on Power Electronics, vol. 19, no. 5, pp. 1242–1249, 2004.

M.G. Simoes, B.K. Bose, and R.J. Spiegel, “Fuzzy logic based intelligent control

of a variable Speed Cage Machine Wind Generation System,” IEEE Transactions

on Power Electronics, vol. 12, no. 1, pp. 87-95, 1997.

A.M. Eltamaly and H.M. Farh, “Maximum power extraction from wind energy

system based on fuzzy logic control,” Electr. Power Syst. Res., vol. 97, pp. 144–150,

Apr. 2013.

K.Z. Østergaard, P. Brath, and J. Stoustrup, “Estimation of effective wind speed,”

J. Phys. Conf. Ser., vol. 75, p. 012082, Jul. 2007.

B. Boukhezzar and H. Siguerdidjane, “Nonlinear Control of Variable Speed Wind

Turbines without wind speed measurement,” proc in IEEE Conference on Decision

and Control, pp. 3456-3461, 2005.

B. Boukhezzar, H. Siguerdidjane, and M.M. Hand, “Nonlinear Control of VariableSpeed Wind Turbines for Generator Torque Limiting and Power Optimization,” J.

Sol. Energy Eng., vol. 128, no. 4, p. 516, 2006.

B. Boukhezzar and H. Siguerdidjane, “Nonlinear Control of a Variable-Speed Wind

Turbine Using a Two-Mass Model,” IEEE Trans. Energy Convers., vol. 26, no. 1,

pp. 149-162, Mar. 2011.

I. Ćirić, Ž. Ćojbašić, et al., “Hybrid Fuzzy Control Strategies for Variable Speed

Wind Turbines,” Facta Universitatis, vol. 10, pp. 205–217, 2011.

B. Beltran, M.E.H. Benbouzid, and S. Member, “Sliding Mode Power Control of

Variable Speed Wind Energy Conversion Systems,” Proc in International conf. on

Electric machines and drives, pp. 943-948, 2007.

B. Beltran, T. Ahmed-ali, M. El, H. Benbouzid, and S. Member, “High-Order

Sliding-Mode Control of Variable-Speed Wind Turbines,” IEEE Transactions on

Industrial electronics, vol. 56, no. 9, pp. 3314-3321, 2009.

A. Merabet, R. Beguenane, J.S. Thongam, and I. Hussein, “Adaptive sliding mode

speed control for wind turbine systems,” IECON 2011 - 37th Annu. Conf. IEEE

Ind. Electron. Soc., pp. 2461-2466, Nov. 2011.

Vihriala, H., Perälä, R., Makila, P., and Soderlund, L., “A Gearless Wind Power

Drive: Part 2: Performance of Control System,” Proceedings of the European Wind

Energy Conference, Copenhagen, Denmark, July 2001.

W.E. Leithead and B. Connor, “Control of variable speed wind turbines: Design

task,” Int. Journal of Control, vol. 73, no.13, pp.1189-1212, 2000.

P. Ben-Tzvi, S. Bai, Q. Zhou, and X. Huang, “Fuzzy Sliding Mode Control of RigidFlexible Multibody Systems With Bounded Inputs,” J. Dyn. Syst. Meas. Control,

vol. 133, no. 6, 2011.

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

Issue

Section

Articles