Sarra Massoum
Abdelakder Meroufel - Electrotechnics department, Electrical engineering faculty, Djillali Liabes University, Sidi Bel Abbes, Algeria
Elkhalil Youcefa Brahim - Electrotechnics department, Electrical engineering faculty, Djillali Liabes University, Sidi Bel Abbes, Algeria
Ahmed Massoum - Electrotechnics department, Electrical engineering faculty, Djillali Liabes University, Sidi Bel Abbes, Algeria
Patrice Wira - Haute Alsace University, ۶۸۰۹۳ Mulhouse France

In this paper, neuronal direct power control (DPC) strategy is applied for a doubly fed induction generator (DFIG) based wind energy generation system. Used in three level neutral point clamped (NPC) rectifiers, to directly control of the active and reactive power, switching vectors for rotor side converter were selected from the optimal switching table using the estimated stator flux position and the errors of the active and reactive power, also the grid side is controlled by direct power control based a grid voltage position to ensure a constant DC- link voltage. This approach is validated by using MATLAB/SIMULINK software and simulation results can prove the excellent performance of this control as improving power quality and stability of wind turbine.

Neuronal Direct power control (DPC), en, doubly fed induction generator (DFIG), three level neutral point clamped (NPC), Active power, reactive power, DC-link, Wind turbine