High performances of Grid-connected DFIG based on Direct Power Control with Fixed Switching Frequency via MPPT Strategy using MRAC and Neuro-Fuzzy Control

  • Fayssal Amrane university of Setif http://orcid.org/0000-0001-9265-4412
  • Azeddine Chaiba university of sétif1, Sétif 19000, Algeria
  • Saad Mekhilef University of Malaya, 50603 Kuala Lumpur, Malaysia


This paper presents high performance improved direct power control (DPC) based on model reference adaptivecontrol (MRAC) and neuro-fuzzy control (NFC) for grid connected doubly fed induction generator (DFIG), to overcomethe drawbacks of conventional DPC which was based only on PID controllers, namely the speed/efficiencytrade-off and divergence from peak power under fast variation of wind speed. A mathematical model of DFIGimplemented in the d-q reference frame is achieved. Then, a direct power control algorithm for controlling rotorcurrents of DFIG is incorporated using PID controllers, and space-vector modulation (SVM) is used to determinea fixed switching frequency. The condition of the stator side power factor is controlled at unity level via MPPTstrategy. The MRAC which is based on DPC is investigated instead of PID regulators. Also, the performancesof NFC based on DPC are tested and compared to those achieved using MRAC controller. The results obtainedin the Matlab/Simulink environment using robustness tests show that the NFC is efficient, has superior dynamicperformance and is more robust during parameter variations.

Author Biographies

Fayssal Amrane, university of Setif
Department of Electrical Engineering, Automatic Laboratory of Sétif (LAS)
Azeddine Chaiba, university of sétif1, Sétif 19000, Algeria
Automatic Laboratory of sétif (LAS), Department of Electrical Engineering.
Saad Mekhilef, University of Malaya, 50603 Kuala Lumpur, Malaysia
Power Electronics and Renewable Energy Research Laboratory (PEARL), Department of Electrical Engineering


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How to Cite
AMRANE, Fayssal; CHAIBA, Azeddine; MEKHILEF, Saad. High performances of Grid-connected DFIG based on Direct Power Control with Fixed Switching Frequency via MPPT Strategy using MRAC and Neuro-Fuzzy Control. Journal of Power Technologies, [S.l.], v. 96, n. 1, p. 27--39, apr. 2016. ISSN 2083-4195. Available at: <https://papers.itc.pw.edu.pl/index.php/JPT/article/view/757>. Date accessed: 26 july 2021.
Renewable and Sustainable Energy


Model reference adaptive control (MRAC), Neuro-Fuzzy Control (NFC), Wind energy conversion system (WECS), Doubly fed induction generator (DFIG), Direct power control (DPC), Space vector modulation (SVM), Maximum power point tracking (MPPT).

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