Power Control of a Wind Energy Conversion System based on a Doubly Fed Induction Generator

Rached, Bouchaib; Elharoussi, Mustapha; Abdelmounim, Elhassane

doi:10.4108/eai.24-4-2019.2284101

Cited by 4 publications

(2 citation statements)

References 8 publications

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“…The two phases modelling of the machine is used. The reference frame (d-q) is oriented to align the axis d with the stator flux [15,16,23,24]. The (3) becomes:…”

Section: Vector Control Of Dfigmentioning

confidence: 99%

Design and investigations of MPPT strategies for a wind energy conversion system based on doubly fed induction generator

Rached

Elharoussi

Abdelmounim

2020

IJECE

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The purpose of this work is to design and to discuss various strategies to optimize the production of a wind energy conversion chain based on the doubly fed induction generator (DFIG), by capturing the maximum power at the wind turbine, using maximum power point tracking (MPPT) and pitch control. The proposed controls allow the generator to monitor the optimal operating points of the turbines regardless of wind speed variations, system parameters disturbance, and parameters variation. Simulation of WECS based on a 1.5 MW wound rotor induction generator under MATLAB/SIMULINK is carried out using the PI controller (PIC), RST controller and fuzzy logic controller (FLC). Analysis and comparisons are made for different operating scenarios: Reference tracking, robustness under variable wind speed conditions and parameters variation. The application of FLC provides a very interesting outcome for the robustness and the dynamic challenges.

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“…The two phases modelling of the machine is used. The reference frame (d-q) is oriented to align the axis d with the stator flux [15,16,23,24]. The (3) becomes:…”

Section: Vector Control Of Dfigmentioning

confidence: 99%

Design and investigations of MPPT strategies for a wind energy conversion system based on doubly fed induction generator

Rached

Elharoussi

Abdelmounim

2020

IJECE

Self Cite

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“…The evaluated literature covers a wide range of DFIG-integrated wind energy control system (WECS) strategies, the benefits of which have been emphasised elsewhere (increased effectiveness, power excellence, frequency support to the grid, power smoothing, etc.). Direct Torque Control (DTC) [8][9][10][11], Direct Power Control (DPC) [12][13][14], and their developed versions throughout time are the most often used control methods, along with Vector Control (VC) [15][16][17][18] or Field-Oriented Control (FOC) [15,19], respectively. Due to the instability within the wide operating range caused by many cascade control loops and improper decoupling of the d-q axis variables, these control techniques have problems with signal generation by PI controllers and slower response times for the required changes [20].…”

Section: Introductionmentioning

confidence: 99%

Neural Network Predictive Control for Improved Reliability of Grid-Tied DFIG-Based Wind Energy System under the Three-Phase Fault Condition

Behara

Saha

2023

Energies

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This research explores a distinctive control methodology based on using an artificial neural predictive control network to augment the electrical power quality of the injection from a wind-driven turbine energy system, engaging a Doubly Fed Induction Generator (DFIG) into the grid. Because of this, the article focuses primarily on the grid-integrated wind turbine generation’s dependability and capacity to withstand disruptions brought on by three-phase circuit grid failures without disconnecting from the grid. The loading of the grid-integrated power inverter causes torque and power ripples in the DFIG, which feeds poor power quality into the power system. Additionally, the DC bus connection of the DFIG’s back-to-back converters transmits these ripples, which causes heat loss and distortion of the DFIG’s phase current. The authors developed a torque and power content ripple suppression mechanism based on an NNPC to improve the performance of a wind-driven turbine system under uncertainty. Through the DC bus linkage, it prevented ripples from being transmitted. The collected results are evaluated and compared to the existing control system to show the advancement made by the suggested control approach. The efficacy of the recommended control methodology for the under-investigation DFIG system is demonstrated through modelling and simulation using the MATLAB Simulink tool. The most effective control technique employed in this study’s simulations to check the accuracy of the suggested control methodology was the NNPC.

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Advanced power control of a variable speed wind turbine based on a doubly fed induction generator using field-oriented control with fuzzy and neural controllers

Aoun,

Boukadoum,

Yousfi

2023

Int. J. Dynam. Control

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Power Control of a Wind Energy Conversion System based on a Doubly Fed Induction Generator

Cited by 4 publications

References 8 publications

Design and investigations of MPPT strategies for a wind energy conversion system based on doubly fed induction generator

Design and investigations of MPPT strategies for a wind energy conversion system based on doubly fed induction generator

Neural Network Predictive Control for Improved Reliability of Grid-Tied DFIG-Based Wind Energy System under the Three-Phase Fault Condition

Advanced power control of a variable speed wind turbine based on a doubly fed induction generator using field-oriented control with fuzzy and neural controllers

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