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Performance of DFIG Wind Turbine Using Dynamic Voltage Restorer Based Fuzzy Logic Controller

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Advanced Intelligent Systems for Sustainable Development (AI2SD’2018) (AI2SD 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 912))

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Abstract

In this paper a Doubly Fed Induction Generator (DFIG) based Dynamic Voltage Restorer (DVR) is proposed to handle voltage sag and swell when the DFIG is connected to the electrical grid, the DVR which is a constitution of three H-bridge inverters supplied through a common DC capacitor, can recover sag to 50%, alternatively it operates as an uninterruptable power supply when a failure occurs in the grid supply. The Fuzzy Logic Controller (FLC) is proposed to be used instead of proportional controllers PI of the DVR because of its efficiency in nonlinear systems; there are two controllers in the grid side converter of the DVR which are replaced by two FLC, the simulations were carried out in simulink/Matlab software, the results show the reliability of the proposed DVR based FLC in terms of voltage sag and synchronization time.

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References

  1. Amalorpavaraj, R.A.J., Kaliannan, P., Subramaniam, U.: Improved fault ride through capability of DFIG based wind turbines using synchronous reference frame control based dynamic voltage restorer. ISA Trans. 70(1), 465–474 (2017)

    Google Scholar 

  2. Wu, X., Guan, Y., Ning, W.: Reactive power control strategy of DFIG-based wind farm to mitigate SSO. J. Eng. 2017(13), 1290–1294 (2017)

    Google Scholar 

  3. Gaillard, A., Poure, P., Saadate, S., Machmoum, M.: Variable speed DFIG wind energy system for power generation and harmonic mitigation. Renew. Energy 34(6), 1545–1553 (2009)

    Article  Google Scholar 

  4. Abobkr, A.H., El-Hawary, M.E.: Fault ride-through capability of doubly-fed induction generators based wind turbines. In: Electrical Power and Energy Conference (EPEC). IEEE (2015)

    Google Scholar 

  5. Sitharthan, R., Sundarabalan, C.K., Devabalaji, K.R., Nataraj, S.K., Karthikeyan, M.: Improved fault ride through capability of DFIG-wind turbines using customized dynamic voltage restorer. Sustain. Cities Soc. 39, 114–125 (2018)

    Article  Google Scholar 

  6. Farhadi-Kangarlua, M., Babaei, E., Blaabjerg, F.: A comprehensive review of dynamic voltage restorers. Electr. Power Energy Syst. 92, 136–155 (2017)

    Article  Google Scholar 

  7. Rolán, A., Pedra, J., Córcoles, F.: Detailed study of DFIG-based wind turbines to overcome the most severe grid faults. Int. J. Electr. Power Energy Syst. 62, 868–878 (2014)

    Article  Google Scholar 

  8. Leon, A.E., Farias, M.F., Battaiotto, P.E., Solsona, J.A., Valla, M.I.: Control strategy of a DVR to improve stability in wind farms using squirrel-cage induction generators. IEEE Trans. Power Syst. 26(3), 1609–1617 (2011)

    Article  Google Scholar 

  9. González, M., Cárdenas, V., Morán, L., Espinoza, J.: Selecting between linear and nonlinear control in a dynamic voltage restorer. In: Proceedings of IEEE Power Electronics Specialists Conference (PESC), pp. 3867–3872, June 2008

    Google Scholar 

  10. Ying, H., Ding, Y., Li, S., Shao, S.: Comparison of necessary conditions for typical Takagi-Sugeno and Mamdani fuzzy systems as universal approximators. IEEE Trans. Syst. Man Cybern. Part A Syst. Hum. 29(5), 508–514 (1999)

    Article  Google Scholar 

  11. Rocha, M.M., da Silva, J.P., das Chagas Barbosa de Sena, F.: Simulation of a fuzzy control applied to a variable speed wind system connected to the electrical network. IEEE Lat. Am. Trans. 16(2), 512–526 (2018)

    Google Scholar 

  12. Ofoli, A.R.: Fuzzy-logic applications in electric drives and power electronics. In: Power Electronics Handbook, 4th edn., pp. 1221–1243 (2018)

    Chapter  Google Scholar 

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Author information

Authors and Affiliations

  1. Electrical Engineering Department, Mohammadia School of Engineers, Mohammed V University, Rabat, Morocco

    Kaoutar Rabyi & Hassane Mahmoudi

Authors
  1. Kaoutar Rabyi
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  2. Hassane Mahmoudi
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Corresponding author

Correspondence to Kaoutar Rabyi .

Editor information

Editors and Affiliations

  1. Computer Sciences Department, Faculty of Sciences and Techniques of Tangier, Abdelmalek Essaâdi University, Souani Tangier, Morocco

    Mostafa Ezziyyani

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Rabyi, K., Mahmoudi, H. (2019). Performance of DFIG Wind Turbine Using Dynamic Voltage Restorer Based Fuzzy Logic Controller. In: Ezziyyani, M. (eds) Advanced Intelligent Systems for Sustainable Development (AI2SD’2018). AI2SD 2018. Advances in Intelligent Systems and Computing, vol 912. Springer, Cham. https://doi.org/10.1007/978-3-030-12065-8_14

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