High performances of Grid-connected DFIG based on Direct Power Control with Fixed Switching Frequency via MPPT Strategy using MRAC and Neuro-Fuzzy Control
作者： Saad Mekhilef , Azeddine Chaiba , Fayssal Amrane
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摘要: This paper presents high performance improved direct power control (DPC) based on model reference adaptive (MRAC) and neuro-fuzzy (NFC) for grid connected doubly fed induction generator (DFIG), to overcome the drawbacks of conventional DPC which was only PID controllers, namely speed/efficiency trade-off divergence from peak under fast variation wind speed. A mathematical DFIG implemented in d-q frame is achieved. Then, a algorithm controlling rotor currents incorporated using space-vector modulation (SVM) used determine fixed switching frequency. The condition stator side factor controlled at unity level via MPPT strategy. MRAC investigated instead regulators. Also, performances NFC are tested compared those achieved controller. results obtained Matlab/Simulink environment robustness tests show that efficient, has superior dynamic more robust during parameter variations.
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