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Robust Control Design Solution for a Permanent Magnet Synchronous Generator of a Wind Turbine Model

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Part of the Lecture Notes in Networks and Systems book series (LNNS,volume 542)

Abstract

The paper addresses the development of a perturb and observe algorithm implemented for maximum power point tracking control of a permanent magnet synchronous generator. It is shown that this algorithm tracks the optimum operation point and provides fast response even in the presence of faults. The strategy implements the tracking algorithm by using real—time measurements, while providing maximum power to the grid without using online data training. The solution is simulated in the Matlab and Simulink to verify the effectiveness of the proposed approach when fault–free and faulty conditions are considered. The simulation results highlight efficient, intrinsic and passive fault tolerant performances of the algorithm for electric generators and converters with low inertia.

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References

  1. Banu, I.V., Istrate, M.: Modeling of maximum power point tracking algorithm for photovoltaic systems. In: 2012 International Conference and Exposition on Electrical and Power Engineering, Iasi, Romania, 25–27 October 2012, pp. 953–957. IEEE (2012). https://doi.org/10.1109/ICEPE.2012.6463577

  2. Castellani, F., Garinei, A., Terzi, L., Astolfi, D., Gaudiosi, M.: Improving windfarm operation practice through numerical modelling and supervisory control and data acquisition data analysis. IET Renew. Power Gener. 8(4), 367–379 (2014). https://doi.org/10.1049/iet-rpg.2013.0182

    Article  Google Scholar 

  3. Garcia-Sanz, M., Houpis, C.H.: Wind Energy Systems: Control Engineering Design. CRC Press, Boca Raton (2012). ISBN 978-1439821794

    Google Scholar 

  4. Gasch, R., Twele, J.: Wind Power Plants: Fundamentals, Design, Construction and Operation, 2nd edn. Springer, Heidelberg (2012). ISBN 978-3642229374. https://doi.org/10.1007/978-3-642-22938-1

  5. Heier, S.: Grid Integration of Wind Energy Conversion Systems, 3rd edn. Wiley, London (2014)

    Book  Google Scholar 

  6. Heier, S.: Grid Integration of Wind Energy: Onshore and Offshore Conversion Systems. Engineering & Transportation, 3rd edn. Wiley, Hoboken (2014). ISBN 978-1119962946

    Google Scholar 

  7. Khouloud, B., Mahieddine, A., Tahar, B., Rabah, L., Azzeddine, G.: Robust control of doubly fed induction generator for wind turbine under sub-synchronous operation mode. Energy Procedia 74(1), 886–899 (2015). https://doi.org/10.1016/j.egypro.2015.07.824

    Article  Google Scholar 

  8. Mahmoud, M., Jiang, J., Zhang, Y.: Active Fault Tolerant Control Systems: Stochastic Analysis and Synthesis. LNCIS, Springer, Heidelberg (2003). https://doi.org/10.1007/3-540-36283-5

    Book  MATH  Google Scholar 

  9. Manwell, J.F., McGowan, J.G., Rogers, A.L.: Wind Energy Explained: Theory, Design, and Application. Wiley, West Sussex (2002)

    Book  Google Scholar 

  10. MathWorks: MathWorks Wind Turbine. 29 May 2019. https://la.mathworks.com/help/physmod/sps/powersys/ref/windturbine.html

  11. Mohammadi, J., Vaez-Zadeh, S., Afsharnia, S., Daryabeigi, E.: A combined vector and direct power control for DFIG-based wind turbines. IEEE Trans. Sustain. Energy 5(3), 767–775 (2014). https://doi.org/10.1109/TSTE.2014.2301675

    Article  Google Scholar 

  12. Odgaard, P.F., Stoustrup, J., Kinnaert, M.: Fault-tolerant control of wind turbines: a benchmark model. IEEE Trans. Control Syst. Technol. 21(4), 1168–1182 (2013). ISSN 1063-6536. https://doi.org/10.1109/TCST.2013.2259235

  13. Odgaard, P.F., Stoustrup, J.: Fault tolerant wind farm control - a benchmark model. In: Proceedings of the IEEE Multiconference on Systems and Control - MSC2013, Hyderabad, India, pp. 1–6, 28–30 August 2013

    Google Scholar 

  14. Pramod, J.: Wind Energy Engineering. McGraw-Hill, New York (2010)

    Google Scholar 

  15. Simani, S., Farsoni, S.: Fault diagnosis and sustainable control of wind turbines: robust data-driven and model-based strategies. In: Mechanical Engineering, 1st edn. Butterworth-Heinemann - Elsevier, Oxford (2018). ISBN 9780128129845

    Google Scholar 

  16. Thongam, J.S., Ouhrouche, M.: Fundamental and Advanced Topics in Wind Power, chapter MPPT Control Methods in Wind Energy Conversion Systems, pp. 339–360. IntechOpen, Rijeka (2014). ISBN 978-953-307-508-2. https://doi.org/10.5772/21657

  17. Wang, Q., Chang, L.: An intelligent maximum power extraction algorithm for inverter-based variable speed wind turbine systems. IEEE Trans. Power Electron. 19(5), 1242–1249 (2004). https://doi.org/10.1109/TPEL.2004.833459

    Article  Google Scholar 

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Correspondence to Silvio Simani .

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Simani, S., Ayala, E. (2023). Robust Control Design Solution for a Permanent Magnet Synchronous Generator of a Wind Turbine Model. In: Arai, K. (eds) Intelligent Systems and Applications. IntelliSys 2022. Lecture Notes in Networks and Systems, vol 542. Springer, Cham. https://doi.org/10.1007/978-3-031-16072-1_19

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