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Improving waveform quality in direct power control of DFIG using fuzzy controller

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Abstract

This paper proposes a new direct power control (DPC) strategy of double-fed induction generator using fuzzy logic controller. The active and reactive power equations are expanded, and effects of voltage vectors on active and reactive power variations are investigated quantitatively. The selection of the voltage vectors is performed using fuzzy system which is used instead of optimal switching table. Four variables are used as inputs of the fuzzy system which are errors of active and reactive powers, real time value of the rotor speed and stator flux position. The defuzzified output is the optimal selected voltage vector. MATLAB/Simulink software is used for the purpose of simulation and the results reported show the effectiveness of the proposed method in improving the waveform quality. Compared with the conventional DPC, the proposed fuzzy technique can reduce the power out of band percentage by about 25 % which is very impressive.

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Acknowledgments

This work is supported by Ministry of Education Malaysia, Universiti Teknologi Malaysia (UTM) and Centre for Artificial Intelligence & Robotics (CAIRO), under grant vot number 00G20. The authors also gratefully acknowledge the helpful comments and suggestions of the reviewers, which have improved the presentation.

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Authors and Affiliations

  1. Department of Mechatronic and Automatic Control, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310, Johor, Malaysia

    H. Z. Boroujeni

  2. Centre for Artificial Intelligence and Robotics, Universiti Teknologi Malaysia, Jalan Semarak, 54100, Kuala Lumpur, Malaysia

    M. F. Othman & R. Rahmani

  3. Department of Chemical Engineering, Åbo Akademi University, 20500, Turku, Finland

    A. H. Shirdel

  4. Department of Information Technology, University of Turku, 20014, Turku, Finland

    P. Movahedi

  5. Faculty of Basic Science, Islamic Azad University, Neka Branch, Neka, Iran

    E. S. Toosi

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  1. H. Z. Boroujeni
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  2. M. F. Othman
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  3. A. H. Shirdel
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  4. R. Rahmani
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  6. E. S. Toosi
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Correspondence to R. Rahmani.

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Boroujeni, H.Z., Othman, M.F., Shirdel, A.H. et al. Improving waveform quality in direct power control of DFIG using fuzzy controller. Neural Comput & Applic 26, 949–955 (2015). https://doi.org/10.1007/s00521-014-1725-7

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  • DOI: https://doi.org/10.1007/s00521-014-1725-7

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