@article {Laghridat2022,
	title = {Coordinated control by ADRC strategy for a wind farm based on SCIG considering low voltage ride-through capability},
	journal = {Protection and Control of Modern Power Systems},
	volume = {7},
	number = {1},
	year = {2022},
	note = {cited By 3},
	abstract = {Wind farms are integrated with the power grid system to provide active and reactive power. Because in a wind farm, wind turbines (WTs) are highly coupled to their operating conditions, a central wind farm supervisory unit must take into account these conditions when producing power control references for each WT. The aim of this paper is to manage and control the active and reactive power of wind farms based on squirrel cage induction generators and back-to-back converters. The proportional distribution algorithm is used for distributing wind farm power to individual WTs. In addition, we consider the development of a local power management and control units for WTs. This is in order to extract the maximum available power from the wind, and to provide the active and reactive power predetermined by the transmission system operator, or to satisfy the grid code requirements considering Low Voltage Ride-through capability. The power dispatch strategy is to be used on all WTs using the distribution algorithm while ensuring the control loops using the proposed Active Disturbance Rejection Control strategy. The results demonstrate that the proposed strategies are efficient and can guarantee the safe integration of wind farms into the grid while respecting grid code requirements and power system stability. {\textcopyright} 2022, The Author(s).},
	keywords = {Active and Reactive Power, Asynchronous generators, Co-ordinated control, Distribution algorithms, Disturbance rejection, Electric fault currents, Electric load dispatching, Electric power system control, Electric power system interconnection, Electric power transmission, Electric power transmission networks, Electric utilities, Grid code requirements, Lower Voltage Ride Through, Power control, Reactive power, Ridethrough capability, SCIG, Supervision, System stability, Wind farm, Wind generator systems, Wind power, Wind turbines},
	doi = {10.1186/s41601-022-00227-0},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126063800\&doi=10.1186\%2fs41601-022-00227-0\&partnerID=40\&md5=4112037a59e61ad82c8095ef0c01a559},
	author = {Laghridat, H. and Essadki, A. and Nasser, T.}
}
@conference {Annoukoubi2021,
	title = {Cascade H-Bridge Multilevel Inverter for a Wind Energy Conversion System Applications},
	booktitle = {Proceedings of 2021 9th International Renewable and Sustainable Energy Conference, IRSEC 2021},
	year = {2021},
	note = {cited By 1},
	abstract = {This paper attends a study of the advantages of using a Cascade H-Bridge Multilevel inverter (MLI) for a wind energy conversion system WECS applications. As known WECS is a renewable system that aims to generate electrical energy from wind. In order to ensure the penetration of the generated energy into the power grid, it must satisfy IEEE 519 standards which consider that total harmonic distortion (THD) in power systems is limited in 5\%. Since Multilevel inverters have been suggested to deal with THD drawbacks of conventional two-level inverter devices in many applications. In this work, we present the study modulation and simulation in MATLAB/ SIMULINK of the wind energy conversion system based on a Cascade H-Bridge Multilevel. The results of the simulation will confirm the import of using this inverter instead of the conventional one. {\textcopyright} 2021 IEEE.},
	keywords = {Asynchronous generators, Bridge circuits, Cascade H bridges, Cascade H-bridge inverte, Doubly fed induction generators, Electric fault currents, Electric inverters, Electric power transmission networks, Electrical energy, Energy, Energy conversion, IEEE Standards, MATLAB, Multi Level Inverter (MLI), Multilevels, System applications, Total harmonic distortions, Wind energy conversion system, Wind power},
	doi = {10.1109/IRSEC53969.2021.9741171},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85128060785\&doi=10.1109\%2fIRSEC53969.2021.9741171\&partnerID=40\&md5=8f44bdb484c9f449dc46750d25fd7d71},
	author = {Annoukoubi, M. and Essadki, A. and Nasser, T.}
}
@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 {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 {Laghridat2019,
	title = {Comparative Analysis between PI and Linear-ADRC Control of a Grid Connected Variable Speed Wind Energy Conversion System Based on a Squirrel Cage Induction Generator},
	journal = {Mathematical Problems in Engineering},
	volume = {2019},
	year = {2019},
	note = {cited By 0},
	doi = {10.1155/2019/8527183},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85064383115\&doi=10.1155\%2f2019\%2f8527183\&partnerID=40\&md5=539a897526387f7ec2998bf1b25e898b},
	author = {Laghridat, H. and Essadki, A. and Nasser, T.}
}
@conference {Fdaili2018,
	title = {Comparative Study of MPPT and Pitch Angle Control Strategies for a Wind Energy Conversion System},
	booktitle = {Proceedings of 2017 International Renewable and Sustainable Energy Conference, IRSEC 2017},
	year = {2018},
	doi = {10.1109/IRSEC.2017.8477291},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85055865278\&doi=10.1109\%2fIRSEC.2017.8477291\&partnerID=40\&md5=249347eb3bf4485d377aaba5bb045213},
	author = {Fdaili, M. and Essadki, A. and Nadour, M. and Nasser, T.}
}
@article {Chakib2018964,
	title = {A comparative study of PI, RST and ADRC control strategies of a doubly fed induction generator based wind energy conversion system},
	journal = {International Journal of Renewable Energy Research},
	volume = {8},
	number = {2},
	year = {2018},
	pages = {964-973},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85049094463\&partnerID=40\&md5=791f9ce9bd42424e44873787c9bae382},
	author = {Chakib, M. and Essadki, A. and Nasser, T.}
}
@article {Nadour20171307,
	title = {Comparative analysis between PI \& backstepping control strategies of DFIG driven by wind turbine},
	journal = {International Journal of Renewable Energy Research},
	volume = {7},
	number = {3},
	year = {2017},
	note = {cited By 2},
	pages = {1307-1316},
	abstract = {This paper presents the modelling and control designs of Double-Fed Induction Generator (DFIG) integrated into a wind energy conversion system (WECS). The aim is to design and compare two distinct strategies of controlling independently the active and the reactive power generated by a DFIG, in order to conclude on their performances. In first place, a modelling of wind turbine and DFIG is presented. Then, the PI controller, the Backstepping approach and a maximum power point tracking (MPPT) strategy used to extract the maximum of power during the conversion are developed. Simulations results show significantly improved performances of the proposed backstepping approach over the Proportional-Integral controller, in terms of dynamic response, disturbance rejection, and robustness against parametric variations. The systems performances were tested and compared using Matlab/Simulink Software.},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85029786983\&partnerID=40\&md5=c7eee5e71718beaa28efd4b27d40171d},
	author = {Nadour, M. and Essadki, A. and Nasser, T.}
}
