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Comparative application of the self-adaptive fuzzy-PI controller for a wind energy conversion system connected to the power grid and based on DFIG

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Abstract

This paper presents a fuzzy logic self-adaptive approach using vector control or proportional integral (FLSA-VC or PI), for a grid-connected wind energy conversion system (WECS) based on a doubly fed induction generator (DFIG). Mainly, the objective of this paper is to explore the relative efficiency of fuzzy logic when intelligently optimizing the parameters of a PI controller, which contributes to achieving better performance in controlling wind turbines, as well as to improve the integration of controllers in laboratory and/or field contexts. Therefore, a very efficient approach is proposed to better evaluate the performance of controllers based on the influences of model uncertainties, parameters and random wind behavior. Comparative analyses between PI, FLC and FLSA-PI controllers are carried out. Simulation results on MATLAB/SIMULINK show that the PI is the less efficient of the other two controllers. However, the FLC is appreciated than the FLSA-PI in terms of disturbance rejection, decoupling between active and reactive power, fast tracking of reference quantities without any overshoot and a power factor almost equal to the unit. Whereas the proposed FLSA-PI is better than the FLC in terms of reducing static errors and signal fluctuations that can lead to undesirable mechanical and frequency stresses on the turbine and the currents injected into the grid, respectively. A short time is observed for the balanced currents to reach the regime established on the network, with a low rate of total harmonic distortion (THD). Therefore, the FLSA associated with an advanced type controller could still hold great promise in WECS control, due to the performance already proven by the FLSA in the optimization of PI parameters.

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Authors and Affiliations

  1. Laboratory: Electronics, Instrumentation and Energy, Department of Physical, Faculty of Science, University Chouaib Doukkali, El-Jadida, Morocco

    Boaz Wadawa, Youssef Errami, Abdellatif Obbadi, Smail Sahnoun & Elmostafa Chetouani

  2. STIC Lab, Department of Physical, Faculty of Sciences, University Chouaib Doukkali, El-Jadida, Morocco

    Mohssin Aoutoul

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  1. Boaz Wadawa
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Contributions

Boaz Wadawa, sections (Abstract, 1, 2, 3, 4, 5 and Reference); Youssef Errami, sections (Abstract, 1, 2, 5, Supervision and Proofreading); Abdellatif Obbadi, sections (1, 2, Supervision and Proofreading); Smail Sahnoun, sections (Proofreading and advice); Elmostafa Chetouani, sections (Collection of references for manuscript revision); Mohssin Aoutoul, sections (Proofreading and advice for the revision of the manuscript).

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Appendix

Appendix

See Figs. 35, 36, 37, 38 and Tables 4 and 5.

Fig. 35
figure 35

Mechanical speed control loop (Ωmec) for an MPPT

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Fig. 36
figure 36

DFIG active (Ps) and reactive (Qs) power control loop

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Fig. 37
figure 37

DC-BUS voltage (Udc) regulation loop

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Fig. 38
figure 38

Active (ifd) and reactive (ifq) filter current control loop

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Table 4 Summary of controller parameters PI, FLC and FLSA-PI
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Table 5 Simulation parameters for DFIG, DC-bus, filter, turbine [47]
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Wadawa, B., Errami, Y., Obbadi, A. et al. Comparative application of the self-adaptive fuzzy-PI controller for a wind energy conversion system connected to the power grid and based on DFIG. Int. J. Dynam. Control 10, 2151–2173 (2022). https://doi.org/10.1007/s40435-022-00952-2

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