Skip to main content
SpringerLink
Log in

Bond graph modeling and simulation of wind turbine systems

  • Published:
Journal of Mechanical Science and Technology Aims and scope Submit manuscript

Abstract

This paper addresses the problem of bond graph methodology as a graphical approach for the modeling of wind turbine generating systems. The purpose of this paper is to show some of the benefits the bond graph approach has, in contributing a model for wind turbine systems. We will present a nonlinear model of a wind turbine generating system, containing blade pitch, drive train, tower motion and generator. All which will be modeled by means of bond graph. We will especially focus on the drive train, and show the difference between modeling with a classical mechanical method and by using bond graph. The model consists of realistic parameters, but we are not trying to validate a specific wind turbine generating system. Simulations are carried out in the bond graph simulation software 20-sim [1].

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. C. Kleijn, 20-sim 4.1 Reference manual, Enschede: Controllab Products B. V. (2009).

    Google Scholar 

  2. http://www.wwindea.org.

  3. J. Tamura, T. Yamajaki, M. Ueno, Y. Matsumura and S. Kimoto, Transient stability simulation of power system including wind generator by PSCAD/EMTDC, IEEE Porto Power Tech Conference (2001).

    Google Scholar 

  4. G. Tapia, A. Tapia, I. Zubia, X. Ostolaza and J. R. Saenz, Electrical fault simulation and dynamic response of a wind farm, International Conference on Power and Energy Systems (2001).

    Google Scholar 

  5. T. Petru and T. Thiringer, Modeling of wind turbines for power system studies, IEEE Transactions on Power Systems, 17(4) (2002) 1132–1139.

    Article  Google Scholar 

  6. V. Akhmatov and H. Knudsen, Modeling of windmill induction generators in dynamic simulation program, International Conference on Electric Power Engineering (1999).

    Google Scholar 

  7. P. Ledesma, E. Agneholm, M. Martins, A. Perdana and O. Carlson, Validation of fixed speed wind turbine dynamic models with measured data, Renewable Energy, 32(8) (2007) 1301–1316.

    Article  Google Scholar 

  8. S. Muyeen, M. Ali, R. Takahashi, T. Murata, J. Tamura, Y. Tomaki, A. Sakahara and E. Sasano, Comparative study on transient stability analysis of wind turbine generator system using different drive train models, IET Renewable Power Generation, 1(2) (2007) 131–141.

    Article  Google Scholar 

  9. T. J. Larsen, How 2 HAWC2, the user’s manual, Risø-R-1597(ver.3–9)(EN) (2009).

    Google Scholar 

  10. C. L. Bottasso and A. Croce, Cp-Lambda user manual, Dipartimento di Ingnegneria Aerospaziale, Politecnico di Milano (2009).

    Google Scholar 

  11. J. Jonkman and M. L. Buhl, FAST User’s Guide, Technical Report NREL/EL-500-38230 (2009).

    Google Scholar 

  12. MATLAB. version 7.10.0 (r2010a), Natick, Massachusetts: The MathWorks Inc. (2010).

  13. P. Brath, K. Hammerum and N. K. Poulsen, A fatigue approach to wind turbine control, Journal of Physics: Conference Series, 75(1) (2007).

    Google Scholar 

  14. D. M. Eggleston and F. S. Stoddard, Wind Turbine Engineering Design, New York: Van Nostrand Reinhold Co. (1987).

    Google Scholar 

  15. H. M. Paynter, Analysis and Design of Engineering Systems, MIT Press (1961).

    Google Scholar 

  16. D. L. Margolis, D. C. Karnopp and R. C. Rosenberg, System Dynamics: Modeling and Simulation of Mechatronic Systems, John Wiley and Sons Ltd. (2006).

    Google Scholar 

  17. W. Borutzky, Bond Graph Methodology: Development and Analysis of Multidisciplinary Dynamic System Models, Springer (2010).

    Google Scholar 

  18. E. Pedersen og H. Engja, Mathematical Modeling and Simulation of Physical Systems, Lecture notes in course TMR4275 Modeling, Simulation and Analysis of Dynamic Systems at NTNU, Trondheim, Norway (2003).

    Google Scholar 

  19. L. C. Henriksen, Model predictive control of a wind turbine, Master thesis, Technical University of Denmark (2007).

    Google Scholar 

  20. S. Heier, Grid Integration of Wind Energy Conversion Systems, John Wiley and Sons Ltd. (1998).

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Engineering, Faculty of Engineering and Science, University of Agder, 4876, Grimstad, Norway

    Tore Bakka & Hamid Reza Karimi

Authors
  1. Tore Bakka
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Hamid Reza Karimi
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Tore Bakka.

Additional information

Recommended by Associate Editor Yang Shi

Tore Bakka was born in Haugesund, Norway, in 1983. He earned his B.S. degree in Electrical Engineering at the University of Stavanger in 2007 and his M.S. degree in Mechatronics at the University of Agder in 2010. Currently, he is pursuing a Ph.D. degree at the University of Agder, working mainly with wind turbine control.

Hamid Reza Karimi, born in 1976, is a Professor in Control Systems at the Faculty of Engineering and Science of the University of Agder in Norway. His research interests are in the areas of networked control systems, robust control/filter design and vibration control with an emphasis on applications in engineering. Dr. Karimi is a senior member of IEEE and serves as chairman of the IEEE chapter on control systems at IEEE Norway section. He is also serving as an editorial board member for some international journals, such as Mechatronics, Information Sciences, Neurocomputing, etc.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Bakka, T., Karimi, H.R. Bond graph modeling and simulation of wind turbine systems. J Mech Sci Technol 27, 1843–1852 (2013). https://doi.org/10.1007/s12206-013-0435-x

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12206-013-0435-x

Keywords

Search

Navigation