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Djeriri Y.,University Djilali Liabes | Djeriri Y.,Intelligent Control and Electrical Power Systems ICEPS Laboratory | Meroufel A.,University Djilali Liabes | Meroufel A.,Intelligent Control and Electrical Power Systems ICEPS Laboratory | And 2 more authors.
Journal of Electrical Engineering | Year: 2014

Direct Torque Control (DTC), without inner current control loops, is capable of simplifying the structure of control system and improving its dynamic performance when applied to the Doubly Fed Induction Generator (DFIG) based wind power generation system. However, the most significant drawback of the Conventional Direct Torque Control (C-DTC) strategy is the variable switching frequency which mainly depends on the sampling frequency, the lookup table structure, hysteresis bands, and the converter switching status. This paper proposes an improved DTC strategy by using an approach intelligent artificial technique such as Artificial Neural Networks (ANN), applied in switching select voltage vector; in this way, the ripple in current and torque can be reduced. The Levenberg-Marquardt back-propagation algorithm has been used to train the neural network and the simple structure network facilitates a short training and processing times. Finally, simulation results show that the proposed ANN-DTC strategy effectively reduces the torque and flux ripples at low switching frequency, even under variable speed operation conditions. Source


Djeriri Y.,University Djilali Liabes | Djeriri Y.,Intelligent Control and Electrical Power Systems ICEPS Laboratory | Meroufel A.,University Djilali Liabes | Meroufel A.,Intelligent Control and Electrical Power Systems ICEPS Laboratory | And 4 more authors.
Journal of Electrical Engineering | Year: 2014

This paper presents a comparative study of field oriented control (FOC) and direct power control (DPC) strategies in order to control the active and reactive stator powers of a doubly fed induction generator (DFIG), which is applied to wind energy conversion systems (WECS). Traditionally the FOC is achieved by using of classical Proportional-Integral (PI) controller. However this controller depends highly on parameter variations of the DFIG. The proposed DPC strategy produces a fast and robust power response. Simulation results on a 1.5 MW DFIG system are provided to demonstrate the effectiveness and robustness of the proposed control strategy during variations of active and reactive power, rotor speed, and machine parameters. Source

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