Abstract
The wind energy boom in the world began in 1980’s. This work presents the modeling and control of a Wind Energy Conversion Systems (WECS) based Permanent Magnet Synchronous Generator (PMSG). The WECS adopts a back-to-back converter system with Voltage Source Inverter (VSI). In the strategy, the generator-side converter is used to tracks the maximum power point and the grid-side converter is responsible for the control of power flow and control the dc-link voltage. The control scheme uses a B-spline artificial neural network for tuning controllers when the system is subjected to disturbances. The currents from VSI’s are controlled in a synchronous orthogonal dq frame using an adaptive PI control. The B-spline neural network must be able to enhance the system performance and the online parameters updated can be possible. This work proposes the use of adaptive PI controllers to regulate the current and DC link voltage. The simulations results confirm that the proposed algorithm is remarkably faster and more efficient than the conventional PI. Comprehensive models of wind speed, wind turbine, PMSG and power electronic converters along with their control schemes are implemented in MATLAB/SIMULINK environment.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
O. Anaya-Lara, N. Jenkins, J. Ekanayake, P. Cartwright, M. Hughes, Wind Energy Generation Modelling and Control (Wiley, Chichester, 2009), pp. 110–112
T. Ackermann, Wind Power in Power Systems (Wiley, Chichester, 2005)
B. Wu, Y. Lang, S. Kouro, Power Conversion and Control of Wind Energy Systems (IEEE Press, New York, 2011)
Variable Boldea, Speed Generators (CRC Press, Boca Raton, 2006)
G. Abad, J. López, M.A. Rodríguez, L. Marroyo, G. Iwanski, Doubly Fed Induction Machine (Wiley, New Jersey, 2011), pp. 1–25
M. Hoa, D. Subbaram Naidu., Advanced Control Strategies for Wind Energy Systems: An Overview, in International Conference on Power Systems, 2011, Vol. 1, 2011, pp. 1–8
X. Yao, X. Su, L. Tian, Wind turbine control strategy at lower wind velocity based on neural network PID control, in Intelligent Systems & Applications, May 2009, pp. 1–5
Z. Xing, Q. Li, X. Su, H. Guo, Application of BP neural network for wind turbines. Intell. Comp. Technol. Autom. 1, 42–44 (2009)
X. Yao, X. Su, L. Tian, Pitch angle control of variable pitch wind turbines based on NN PID, in 4th IEEE Conference on Industrial Electronics & Applications, May 2009, pp. 3235–3239
O. Aguilar, M. Saucedo Jose, R. Tapia, “On-line control strategy for a WECS with permanent magnet synchronous generator”, Lecture Notes in Engineering and Computer Science, in Proceedings of The World Congress on Engineering and Computer Science 2013, WCECS 2013, San Francisco, USA, 23–25 Oct. 2013, pp. 355–360 (2013)
A. Luna, J. Rocabert, G. Vazquez, P. Rodríguez, R. Teodorescu and F. Corcoles, Grid synchronization for advanced power processing and FACTS in wind power systems, in IEEE Industrial Electronics Conference, pp. 2915–2920
A. Valderrabano, J.M. Ramirez, Details on the implementation of a conventional StatCom’s control, in International Conference IEEE. Transmission and Distribution: Latin America, Bogota, Colombia, 2008
I. Munteanu, A.I. Bratcu, N.A. Cutululis, E. Ceanga, Optimal Control of Wind Energy Systems. (London, Springer, 2008)
E. Haque, M. Negnevitsky, K.M. Muttaqi, A novel control strategy for a variable-speed wind turbine with a permanent-magnet synchronous generator. IEEE Trans. Ind. Appl. 46(1), 331–339 (2010)
L. Shuhui, T.A. Haskew, R.P. Swatloski, W. Gathings, Optimal and direct-current vector control of direct-driven PMSG wind turbines. IEEE Trans. Power Electron. 27(5), 2325–2337 (2012)
J. Arrillaga, Y. Liu, N. Watson, N. Murray, Self-Commutating Converters for High Power Applications (Wiley, Chichester, 2009)
J.C. Rosas, Simple Topologies for Power Conditioners and FACT’s Controllers, Ph.D. dissertation, CINVESTAV, Gdl, 2009
A. Yazdani, R. Iravani, Voltage-Sourced Converters in Power Systems Modeling, Control, and Applications. (Wiley, New Jersey, 2010)
J. Brown, C. Harris, Neurofuzzy Adaptive Modeling and Control. (Prentice Hall International, London, 1994)
D. Saad, On-line learning in neural networks. (Cambridge University Press, Cambridge, 1998)
J.M. Ramirez, R.E. Correa-Gutierrez, N.J. Castrillon-Gutierrez, A study on multiband PSS coordination. Int. J. Emerg. Elect. Power Syst. 10, 1–20 (2009)
Author information
Authors and Affiliations
Corresponding authors
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer Science+Business Media Dordrecht
About this paper
Cite this paper
Mejía, O.A., Olvera, R.T. (2014). Robust Control Strategy for a WECS Based at PMSG. In: Kim, H., Ao, SI., Amouzegar, M. (eds) Transactions on Engineering Technologies. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-9115-1_6
Download citation
DOI: https://doi.org/10.1007/978-94-017-9115-1_6
Published:
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-017-9114-4
Online ISBN: 978-94-017-9115-1
eBook Packages: EngineeringEngineering (R0)