2022
DOI: 10.3390/electronics11244106
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Enhancement of Direct Power Control by Using Artificial Neural Network for a Doubly Fed Induction Generator-Based WECS: An Experimental Validation

Abstract: Direct power control (DPC) is among the most popular control schemes used in renewable energy because of its many advantages such as simplicity, ease of execution, and speed of response compared to other controls. However, this method is characterized by defects and problems that limit its use, such as a large number of ripples at the levels of torque and active power, and a decrease in the quality of the power as a result of using the hysteresis controller to regulate the capacities. In this paper, a new idea… Show more

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Cited by 28 publications
(15 citation statements)
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“…Additionally, stator and rotor winding voltages and currents are described by the following equation [43,44]:…”
Section: Description Of the Systemmentioning
confidence: 99%
See 1 more Smart Citation
“…Additionally, stator and rotor winding voltages and currents are described by the following equation [43,44]:…”
Section: Description Of the Systemmentioning
confidence: 99%
“…On the stator side of the generator, the reactive power reference (Q s * ) is made to equal zero to guarantee a unity power factor, however during the voltage drop of the network, when the DFIG must deliver reactive power to the network to help it recover its voltage, Q s * is non-zero. Additionally, the active power reference (P s * ) is always given through the MPPT strategy and is realized by [40][41][42][43][44].…”
Section: Stator Active and Reactive Power Controlmentioning
confidence: 99%
“…Several advantages come with using NN technique, such as better grid stability, improved energy efficiency, and reduced operational costs. In Chojaa et al, 53 a new control based on the use of the NN to control the DFIG powers present in the wind system. Two neural controllers were used to control the capacities, and PWM was used to produce the necessary pulses to control the DFIG inverter.…”
Section: Introductionmentioning
confidence: 99%
“…The proposed strategy provided very satisfactory results compared to the traditional strategy and some existing controls, and this is demonstrated by the graphical and numerical results and even the comparison achieved. Three strategies were proposed in the work [16] to control the DFIG-based wind turbine system, where DPC, neural DPC (NDPC), and backstepping control were used for this purpose. These three strategies were used to control the rotor side converter of 1.5 kW DFIG, where the Dspace 1104 was used to implement them and verify their behavior in various tests.…”
Section: Introductionmentioning
confidence: 99%