@article {Chakib2021320,
	title = {Contribution of Variable Speed Wind Turbine Generator Based on DFIG Using ADRC and RST Controllers to Frequency Regulation},
	journal = {International Journal of Renewable Energy Research},
	volume = {11},
	number = {1},
	year = {2021},
	note = {cited By 3},
	pages = {320-331},
	abstract = {In the interconnected power systems, there must always be a balance between the amount of electricity produced and the amount of electricity consumed in order to keep the grid frequency stable and nearby to its nominal value. Therefore, any change in consumption can lead to imbalance, instability, load shedding and system frequency disturbances. With the increase of wind energy penetration level in the electrical network, it has become necessary to make wind generators participate in frequency regulation. The fundamental objective of this research paper is to investigate the ability of wind turbine at variable speed equipped with doubly fed induction generator (DFIG) to contribute in the grid frequency regulation. For the purpose of the contribution in the frequency regulation, the wind turbine system must inject a supplementary power support into the electrical network. To do that, two control strategies are adopted: the first one is the synthetic inertia control which uses the kinetic energy reserved and stocked in the turbine and generator rotors of the wind system. The second one is the droop frequency control which includes the deloading method that allows to the VSWT to create a certain reserve active power. Then, each of these control techniques is implemented and their performances are evaluated in case of frequency variation. Moreover, the control structure that uses the combination of these two techniques is also implemented and studied. The active disturbance rejection control strategy (ADRC), the classical PI controller and the polynomial RST controller have been adopted to command the rotor side converter (RSC) of the DFIG which allows it to provide, in case of frequency fault, a support for the power system into the grid by adjusting the rotor speed. The performance of these controllers are tested and compared and the simulation is performed by MATLAB/Simulink simulation software. {\textcopyright} 2021, International Journal of Renewable Energy Research. All Rights Reserved.},
	keywords = {Active disturbances rejection controls, Asynchronous generators, Control strategies, Controllers, Deloading method, Disturbance rejection, Doubly fed induction generators, Droop control strategies, Electric fault currents, Electric load shedding, Electric machine control, Electric power generation, Electric power system control, Electric power transmission networks, Frequency regulations, Inertia control strategy, Kinetic energy, Kinetics, MATLAB, Software testing, Turbogenerators, Variable speed wind turbine system, Variable speed wind turbines, Wind power, Wind Turbine Generators, Wind turbine systems},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85104004530\&partnerID=40\&md5=b73f8dda0c74fb1904944b96c7b3b388},
	author = {Chakib, M. and Nasser, T. and Essadki, A.}
}
@conference {Kharchouf2020,
	title = {Adaptive Fuzzy-PI Control of Wind Energy Conversion System Based DFIG under Voltage Dip},
	booktitle = {2020 International Conference on Electrical and Information Technologies, ICEIT 2020},
	year = {2020},
	note = {cited By 2},
	abstract = {The Proportional-Integral (PI) and Fuzzy Logic Controllers (FLC) cannot deal accurately with the system variation. To overcome the drawbacks of PI and FLC regulators, the Adaptive Fuzzy-PI Controllers (AFPICs) are configured. This paper presents a comparison between three different controllers based control methodology for Variable Speed Wind Energy Conversion Systems (WECSs) by means of Doubly Fed Induction Generator (DFIG). Artificial Intelligence (AI) based FLCs is performed to improve the system efficiency and performance under Small Disturbance (SD) and Large Disturbance (LD) cases. To test the PI, FLC, and AFPIC robustness, simulations are done during abrupt wind speed variation (SD), and voltage dip fault (LD). The simulation results show that the proposed AFPIC delivers improved power control, better response rise time, reduced overshoot, undershoot, and settling time compared to classical PI and Fuzzy controllers. The proposed control is proved by simulation using Matlab/Simulink-R2016b. {\textcopyright} 2020 IEEE.},
	keywords = {Adaptive control systems, Adaptive fuzzy-PI control, Asynchronous generators, Control methodology, Controllers, Doubly fed induction generators, Electric fault currents, Electric machine control, Energy conversion, Fuzzy logic, Fuzzy logic controllers, MATLAB, Power control, Proportional integral, Two term control systems, Variable speed wind energy conversion systems, Water craft, Wind, Wind energy conversion system, Wind power, Wind speed variations},
	doi = {10.1109/ICEIT48248.2020.9113215},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85086889728\&doi=10.1109\%2fICEIT48248.2020.9113215\&partnerID=40\&md5=514df1b642398d6a25a07b76a59427bf},
	author = {Kharchouf, I. and Nasser, T. and Essadki, A. and Fdaili, M.}
}
@conference {Elouatoua2020,
	title = {Control of a Doubly-Fed Induction Generator for Wind Energy Conversion Systems},
	booktitle = {2020 International Conference on Electrical and Information Technologies, ICEIT 2020},
	year = {2020},
	note = {cited By 3},
	abstract = {This paper proposes the modelling and control of the variable speed wind turbine based on doubly fed induction generator (DFIG). The main idea of this work consists of applying different techniques of command to the independent control of active and reactive powers generated by the DFIG namely: conventional controller PI, Fuzzy logic control (FLC), Sliding mode control (SMC) and hybrid fuzzy sliding mode control (FSMC). The performances and robustness are analyzed and compared by simulation on Matlab /Simulink. {\textcopyright} 2020 IEEE.},
	keywords = {Asynchronous generators, Conventional controllers, Doubly fed induction generator (DFIG), Doubly fed induction generators, Electric fault currents, Electric machine control, Electric machine theory, Energy conversion, Fuzzy logic, Fuzzy sliding mode control, Fuzzy-logic control, MATLAB, Modelling and controls, Sliding mode control, Variable speed wind turbines, Wind energy conversion system, Wind power},
	doi = {10.1109/ICEIT48248.2020.9113184},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85086901436\&doi=10.1109\%2fICEIT48248.2020.9113184\&partnerID=40\&md5=3158171c6663afb76615c38976494994},
	author = {Elouatoua, H. and Nasser, T. and Essadki, A.}
}
@article {Mensou2020,
	title = {A direct power control of a DFIG based-WECS during symmetrical voltage dips},
	journal = {Protection and Control of Modern Power Systems},
	volume = {5},
	number = {1},
	year = {2020},
	note = {cited By 42},
	abstract = {The Wind Energy Conversion System (WECS) based Doubly Fed Induction Generator (DFIG) has experienced a rapid development in the world, which leads to an increasing insertion of this source of energy in the electrical grids. The sudden and temporary drop of voltage at the network can affect the operation of the DFIG; the voltage dips produce high peak currents on the stator and rotor circuits, without protection, the rotor side converter (RSC) will suffer also from over-current limit, consequently, the RSC may even be destroyed and the generator be damaged. In this paper a new Direct Power Control (DPC) method was developed, in order to control the stator powers and help the operation of the aero-generator during the faults grid; by injecting the reactive power into the network to contribute to the return of voltage, and set the active power to the optimum value to suppress the high peak currents. The DPC method was designed using the nonlinear Backstepping (BS) controller associated with the Lyapunov function to ensure the stability and robustness of the system. A comparison study was undertaken to verify the robustness and effectiveness of the DPC-BS to that of the classical vector control (VC) using Proportional-Integral (PI) correctors. All were simulated under the Simulink{\textregistered} software. {\textcopyright} 2020, The Author(s).},
	keywords = {Aero-generator, Asynchronous generators, Backstepping, Backstepping technique, Doubly fed induction generators, DPC strategy, Electric equipment protection, Electric fault currents, Electric machine control, Electric power system control, Electric power transmission networks, Energy conversion, Lyapunov functions, Power control, Robustness (control systems), Rotorside converter (RSC), Stability and robustness, Stators, Two term control systems, Voltage dip, Wind energy conversion system, Wind power},
	doi = {10.1186/s41601-019-0148-y},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85078233240\&doi=10.1186\%2fs41601-019-0148-y\&partnerID=40\&md5=522588067926dd57f4d68f2b24a05345},
	author = {Mensou, S. and Essadki, A. and Nasser, T. and Bououlid Idrissi, B.}
}
@article {Mensou20201759,
	title = {Dspace DS1104 implementation of a robust nonlinear controller applied for DFIG driven by wind turbine},
	journal = {Renewable Energy},
	volume = {147},
	year = {2020},
	note = {cited By 23},
	pages = {1759-1771},
	abstract = {This research paper deals whit the control of a doubly fed induction generator (DFIG) driven in rotation by wind turbine, the objective of this work is to control the electromagnetic torque of the generator and have a specified reactive stator power generated whatever perturbations, the MPPT method was used to extract the maximum of the power for different wind speed variations. To control the system studied we have used the Nonlinear Backstepping Controller with Lyapunov function, the robustness of our controller is tested in terms of reference tracking under perturbed conditions (generator parameters variations and voltage dips). All were implemented on dSPACE DS1104 Controller card Real-Time Interface (RTI), which runs in Simulink/MATLAB environment and ControlDesk 4.2 graphical interfaces. Hardware simulation results show and validate the performances and robustness of our controller. {\textcopyright} 2019 Elsevier Ltd},
	keywords = {Asynchronous generators, Backstepping, Backstepping controller, Controllers, D-space, DFIG, Doubly fed induction generators, Electric fault currents, Electric machine control, Electromagnetic torques, energy planning, Lyapunov functions, Mppt algorithms, Non-linear controllers, Nonlinear backstepping, perturbation, research work, Robustness (control systems), rotation, torque, Tracking, Wind, Wind power, wind turbine, Wind turbines, wind velocity},
	doi = {10.1016/j.renene.2019.09.042},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85072723940\&doi=10.1016\%2fj.renene.2019.09.042\&partnerID=40\&md5=2c1b6dd07049aedcc235d2f82f481f9e},
	author = {Mensou, S. and Essadki, A. and Nasser, T. and Idrissi, B.B. and Ben Tarla, L.}
}
@article {Laghridat2020,
	title = {A Novel Adaptive Active Disturbance Rejection Control Strategy to Improve the Stability and Robustness for a Wind Turbine Using a Doubly Fed Induction Generator},
	journal = {Journal of Electrical and Computer Engineering},
	volume = {2020},
	year = {2020},
	note = {cited By 8},
	abstract = {A novel and robust active disturbance rejection control (ADRC) strategy for variable speed wind turbine systems using a doubly fed induction generator (DFIG) is presented in this paper. The DFIG is directly connected to the main utility grid by stator, and its rotor is connected through a back-to-back three phase power converter (AC/DC/AC). Due to the acoustic nature of wind and to ensure capturing maximum energy, a control strategy to extract the available maximum power from the wind turbine by using a maximum power point tracking (MPPT) algorithm is presented. Moreover, a pitch actuator system is used to control the blades{\textquoteright} pitch angle of the wind turbine in order to not exceed the wind turbine rated power value in case of strong wind speeds. Furthermore, the rotor-side converter is used to control the active and reactive powers generated by the DFIG. However, the grid-side converter is used to control the currents injected into the utility grid as well as to regulate the DC-link voltage. This paper aims to study and develop two control strategies for wind turbine system control: Classical control by proportional integral (PI) and the proposed linear active disturbance rejection control (LADRC). The main purpose here is to compare and evaluate the dynamical performances and sensitivity of these controllers to the DFIG parameter variation. Therefore, a series of simulations were carried out in the MATLAB/Simulink environment, and the obtained results have shown the effectiveness of the proposed strategy in terms of efficiency, rapidity, and robustness to internal and external disturbances. {\textcopyright} 2020 Hammadi Laghridat et al.},
	keywords = {AC-AC power converters, Active disturbance rejection controls, Asynchronous generators, Disturbance rejection, Doubly fed induction generator (DFIG), Doubly fed induction generators, Electric fault currents, Electric machine control, Linear active disturbance rejection controls, MATLAB, MATLAB/Simulink environment, Maximum power point trackers, Maximum Power Point Tracking, Robustness (control systems), Sensitivity analysis, Three-phase power converter, Two term control systems, Variable speed wind turbines, Wind turbines},
	doi = {10.1155/2020/9847628},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85083628356\&doi=10.1155\%2f2020\%2f9847628\&partnerID=40\&md5=b2314c4d19e3bac9f4e6e82dcf54f954},
	author = {Laghridat, H. and Essadki, A. and Annoukoubi, M. and Nasser, T.}
}
