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Two fuzzy-based direct power control strategies for doubly-fed induction generators in wind energy conversion systems

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  • Pichan, Mohammad
  • Rastegar, Hasan
  • Monfared, Mohammad

Abstract

This paper proposes two novel (direct power control) DPC strategies for a doubly fed induction generator (DFIG)-based wind energy conversion system based on a (fuzzy logic controller) FLC. At first, the mathematical model of the DFIG in the synchronous reference frame is derived. Then, based on this model, two novel FLC-based DPC strategies, called (fuzzy-based DPC) FDPC and (fully fuzzy-based DPC) FFDPC are proposed. In the FDPC, the required rotor voltages to eliminate power errors within each fixed sampling period are directly calculated based on the FLC, the measured active and reactive powers, the stator voltage and some machine parameters. On the other hand, in the FFDPC, the rotor voltages are directly calculated from the FLC. The control structures of proposed methods are very simple. Compared to the conventional switching table-based DPC, in the proposed methods, the hysteresis comparator and the switching table are replaced by a simple FLC and a PWM (pulse width modulation) modulator. The converter switching frequency is constant which simplifies the practical implementation. Also the proposed methods are robust against machine parameters mismatches and grid voltage disturbances. Extensive simulations in Matlab\Simulink are performed to confirm the effectiveness of the proposed methods under transient and steady state conditions.

Suggested Citation

  • Pichan, Mohammad & Rastegar, Hasan & Monfared, Mohammad, 2013. "Two fuzzy-based direct power control strategies for doubly-fed induction generators in wind energy conversion systems," Energy, Elsevier, vol. 51(C), pages 154-162.
    • Handle: RePEc:eee:energy:v:51:y:2013:i:c:p:154-162
    DOI: 10.1016/j.energy.2012.12.047
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    References listed on IDEAS

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    Citations

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    Cited by:

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    2. Sarrias-Mena, Raúl & Fernández-Ramírez, Luis M. & García-Vázquez, Carlos Andrés & Jurado, Francisco, 2014. "Fuzzy logic based power management strategy of a multi-MW doubly-fed induction generator wind turbine with battery and ultracapacitor," Energy, Elsevier, vol. 70(C), pages 561-576.
    3. Abderraouf Boumassata & Djallel Kerdoun, 2017. "Speed control of a doubly fed induction machine via an AC–AC converter," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 8(1), pages 407-412, January.
    4. El-Kharashi, Eyhab, 2014. "Detailed comparative study regarding different formulae of predicting the iron losses in a machine excited by non-sinusoidal supply," Energy, Elsevier, vol. 73(C), pages 513-522.
    5. Chatterjee, Arunava & Roy, Krishna & Chatterjee, Debashis, 2014. "A Gravitational Search Algorithm (GSA) based Photo-Voltaic (PV) excitation control strategy for single phase operation of three phase wind-turbine coupled induction generator," Energy, Elsevier, vol. 74(C), pages 707-718.
    6. El-Kharashi, Eyhab & Farid, Azmy Wadie, 2015. "Accurate assessment of the output energy from the doubly fed induction generators," Energy, Elsevier, vol. 93(P1), pages 406-415.
    7. Raju, S.Krishnama & Pillai, G.N., 2016. "Design and real time implementation of type-2 fuzzy vector control for DFIG based wind generators," Renewable Energy, Elsevier, vol. 88(C), pages 40-50.
    8. Suganthi, L. & Iniyan, S. & Samuel, Anand A., 2015. "Applications of fuzzy logic in renewable energy systems – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 48(C), pages 585-607.
    9. El-Kharashi, Eyhab & El-Dessouki, Maher, 2014. "Coupling induction motors to improve the energy conversion process during balanced and unbalanced operation," Energy, Elsevier, vol. 65(C), pages 511-516.
    10. Gayen, P.K. & Chatterjee, D. & Goswami, S.K., 2015. "Stator side active and reactive power control with improved rotor position and speed estimator of a grid connected DFIG (doubly-fed induction generator)," Energy, Elsevier, vol. 89(C), pages 461-472.

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