Intelligent Control for Doubly Fed Induction Generator Connected to the Electrical Network

Bakouri, Anass; Mahmoudi, Hassane; Abbou, Ahmed

doi:10.11591/ijpeds.v7.i3.pp688-700

Cited by 17 publications

(12 citation statements)

References 11 publications

(8 reference statements)

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“…In the literature, there is a large amount of more sophisticated techniques, among these techniques the Levenberg-Marquardt algorithm. This last algorithm will be used in our work for its speed of computation compared to the classic back-propagation algorithm [13].…”

Section: The Artificial Neural Network Controllermentioning

confidence: 99%

Control of Doubly Fed Induction Generator with Maximum Power Point Tracking for Variable Speed Wind Energy Conversion Systems

Yaichi

Semmah

Wira

2019

Period. Polytech. Elec. Eng. Comp. Sci.

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In this paper, a Direct Power Control (DPC) based on the switching table and Artificial Neural Network-based Maximum Power Point Tracking control for variable speed Wind Energy Conversion Systems (WECS) is proposed. In the context of wind energy exploitation, we are interested in this work to improve the performance of the wind generator by controlling the continuation of the Maximum Power Point Tracking (MPPT) using the Artificial Neural Network (ANN). The results obtained show the interest of such control in this system. The proposed Direct Power Control strategy produces a fast and robust power response, also the grid side is controlled by Direct Power Control based a grid voltage position to ensure a constant DC- link voltage. The THD of the current injected into the electric grid for the Wind Energy Conversion Systems with Direct Power Control is shown in this paper, the THD is lower than the 5 % limit imposed by IEEE STANDARDS ASSOCIATION. This approach Direct Power Control is validated using the Matlab/Simulink software and simulation results can prove the excellent performance of this control as improving power quality and stability of wind turbine.

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Section: The Artificial Neural Network Controllermentioning

confidence: 99%

Control of Doubly Fed Induction Generator with Maximum Power Point Tracking for Variable Speed Wind Energy Conversion Systems

Yaichi

Semmah

Wira

2019

Period. Polytech. Elec. Eng. Comp. Sci.

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“…The FL rules are developed using linguistic changes that are formulated in the form of « IF THEN » rules. The Table 1 shows this rules [19,20].We use the following designations for membership functions: The FL controller contains three blocks: fuzzification, fuzzy rule base and defuzzification. However, the universes of discourses are first partitioned into the 7 linguistic changes NB, NM, NS, EZ, PS, PM, PB.…”

Section: Fuzzy Pulse Width Modulationmentioning

confidence: 99%

FPWM Technique Based Converter for Im Drives

Benbouhenni¹,

Audin²

2019

AEI

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This article presents an improved pulse width modulation (PWM) based on fuzzy logic (FL) of induction motor (IM). The major problem that is usually associated with PWM technique is the high total harmonic distortion (THD), stator flux ripple and electromagnetic torque ripples. To overcome these problems a PWM strategy is proposed based on the fuzzy logic controller (FPWM). The fuzzy proposed controller is shown to be able to reduce the THD of stator current, electromagnetic torque ripple and stator flux ripple. The simulation results are shown by using MATLAB/SIMULINK software. BIOGRAPHYHabib Benbouhenni was born in chlef, Algeria. He is a PhD student in the Departement of electrical engineering at the ENPO-MA, Oran, Algeria. He received a M.S. degree in Automatic and informatics industrial in 2017. His research activities include the application of robust command in the wind turbine power systems.

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“…The grid side converter (GSC) can also be controlled by VC technique. This method gives high static performances [2,3]. DTC strategy is one of the interesting control strategies, as an alternative to vector control for induction machines.…”

Section: Introductionmentioning

confidence: 99%

The DTC with ANN of a DFIG Driven by a WECS

Bouhafna¹,

Toumi²,

Benaggoune³

et al. 2020

IJISRT

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This paper treats the modeling of a wind energy conversion system connected to the grid, which is composed of a horizontal axis wind turbine operating at variable wind speeds, a doubly- fed induction generator and two converters ( AC / DC and DC / AC) controlled by direct torque control (DTC) with application of neural networks. The results of simulations of the studied system are presented in the Matlab / Simulink environment.

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Intelligent Control for Doubly Fed Induction Generator Connected to the Electrical Network

Cited by 17 publications

References 11 publications

Control of Doubly Fed Induction Generator with Maximum Power Point Tracking for Variable Speed Wind Energy Conversion Systems

Control of Doubly Fed Induction Generator with Maximum Power Point Tracking for Variable Speed Wind Energy Conversion Systems

FPWM Technique Based Converter for Im Drives

The DTC with ANN of a DFIG Driven by a WECS

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