Power Control of a DFIG Driving by Wind Turbine: Comparison Study Between ADRC and PI Controller

Minka, Issam; Essadki, Ahmed; Mensou, Sara; Nasser, Tamou

doi:10.1109/irsec.2017.8477359

Cited by 5 publications

(5 citation statements)

References 7 publications

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“…The reactive power is related to current rotor d-axis by a constant imposed by the grid. The ( 16) and (17) give the expressions of these reference currents:…”

Section: Optimization By Genetic Algorithmmentioning

confidence: 99%

Fault tolerant control for DFIG wind turbine controlled by ADRC and optimized by genetic algorithm

Aissaoui

Elmouhi

Essadki

et al. 2023

IJPEDS

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This research work deals with the modelling, control and simulation of a wind turbine based on the doubly fed induction generator (DFIG) in the current sensor’s failure event. We present in the first time the model of the wind energy conversion system based on the DFIG and the control by active disturbances rejection control (ADRC) optimized by genetic algorithm. Particular focus is directed towards on a technique for detection, identification, isolation and reconfiguration of current sensor signals after failure. The combination of the two preceding techniques makes it possible to have a fault tolerant control to sensor faults which ensures continuity of service in all circumstances. The robustness of the proposed technique is tested under the MATLAB/Simulink environment.

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“…The reactive power is related to current rotor d-axis by a constant imposed by the grid. The ( 16) and (17) give the expressions of these reference currents:…”

Section: Optimization By Genetic Algorithmmentioning

confidence: 99%

Fault tolerant control for DFIG wind turbine controlled by ADRC and optimized by genetic algorithm

Aissaoui

Elmouhi

Essadki

et al. 2023

IJPEDS

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“…The diagram of the RSC is presented in figure 5. (22) The parameters K p , β 1 and β 2 of the ADRC controllers are determined so that the rotor currents follow their reference i rqRef and i rdRef [26]. This is obtained using genetic algorithms which make it possible to have an optimum response.…”

Section: Rotor Side Converter Control Rscmentioning

confidence: 99%

Improved control for DFIG based wind power system under voltage dips using ADRC optimized by genetic algorithms

Elmouhi

Essadki

Elaimani

2022

Int. j. electr. comput. eng. syst. (Online)

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Many countries have focused on the study of the electrical energy production using wind generators. These studies include maintaining the production under disturbed conditions at the grid connection point of wind farms, and maintaining production during voltage dips. Electrical grid operators have established different requirements for connecting renewable energy production systems to electrical grids. In this research paper, we are interested in the study of the wind power system based on the Doubly Fed Induction Generator during a voltage dip. We are also developing a control approach based on Active Disturbance Rejection Control and Genetic Algorithms, which aims to control the stator flux variations which should be taken into account during the current controllers computing. This control strategy will allow the wind power system to remain connected to the grid under voltage dips, and to resume the normal operation after the fault disappearance. The model of the wind power system and the proposed control strategy, are tested in the MATLAB-Simulink software.

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“…This section as objective to introduce control algorithms based on two regulators PI and Sliding mode controllers to regulate a statoric powers to a DFIG system for a wind energy production [21][22][23].…”

Section: Control Active and Reactive Powersmentioning

confidence: 99%

Sliding mode performance control applied to a DFIG system for a wind energy production

FatimaZohra

Bendjebbar

Mazari

2020

IJECE

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This project presents a strategy of field control then sliding mode control put in to the conversion process of wind energy containing an asynchronous generator with double fed (DFAG; DFIG). A model was developed for each component of the wind turbine (turbine, DFAG and cascade rectifier-inverter). MPPT device must be introduced in order to obtain maximum energy efficiency so that PI-MPPT method is made. The objective is to apply this command to control independently the active and reactive powers generated by the asynchronous generator uncoupled by orientation from the flow. The results of digital simulations obtained show the improvement of the performances of the sliding control compared to the field control, also it has provided information on the commands available techniques as reference tracking and robustness.

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Power Control of a DFIG Driving by Wind Turbine: Comparison Study Between ADRC and PI Controller

Cited by 5 publications

References 7 publications

Fault tolerant control for DFIG wind turbine controlled by ADRC and optimized by genetic algorithm

Fault tolerant control for DFIG wind turbine controlled by ADRC and optimized by genetic algorithm

Improved control for DFIG based wind power system under voltage dips using ADRC optimized by genetic algorithms

Sliding mode performance control applied to a DFIG system for a wind energy production

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