@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.}
}
@article {Katkout2020,
	title = {Robust Multiobjective Model Predictive Control with Computation Delay Compensation for Electric Vehicle Applications Using PMSM with Multilevel Inverter},
	journal = {Mathematical Problems in Engineering},
	volume = {2020},
	year = {2020},
	note = {cited By 2},
	abstract = {The Three-Level Neutral-Point-Clamped (3L-NPC) inverter fed Permanent Magnet Synchronous Motor (PMSM) drive is an attractive configuration for high performance Electric Vehicle (EV) applications. For such configuration, due to their high performances, the Finite-Control-Set Model Predictive Control (FCS-MPC) is a very attractive control solution. The FCS-MPC scheme is based on the prediction of the future behavior of the controlled variables using the dynamic model of PMSM and the discrete nature of the 3L-NPC inverter. However, the parametric uncertainties and time-varying parameters affect the FCS-MPC algorithm performances. In this paper, robust FCS-MPC controls based on "dynamic error correction" (DEC) and "modified revised prediction" (MRP) are proposed to improve the FCS-MPC robustness without affecting the controller performances and complexity. The proposed strategies are improved also by multiobjective (MO) algorithm optimization and computation delay compensation. The simulation results included prove the performance in robustness and efficiency of the proposed robust FCS-MPC-DEC. {\textcopyright} 2020 Abdiddaim Katkout et al.},
	keywords = {Algorithm optimization, Controller performance, Electric inverters, Electric vehicles, Error correction, High performance electric vehicles, Model predictive control, Multi-objective modeling, Parametric uncertainties, Permanent magnet synchronous motor drives, Permanent magnets, Predictive control systems, Robustness (control systems), Synchronous motors, Three-level neutral point clamped, Time varying parameter},
	doi = {10.1155/2020/7015865},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85085550129\&doi=10.1155\%2f2020\%2f7015865\&partnerID=40\&md5=a8af2bbc90a7acb6f7216d05eda69e31},
	author = {Katkout, A. and Nasser, T. and Essadki, A.}
}
