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Publications

2016
Laib H, Chaghi A, Wira P. A New Learning and Fuzzy Strategy for Active Power Filtering. Journal on Electrical Engineering and informatics (IJEEI journal)Journal on Electrical Engineering and informatics (IJEEI journal). 2016;8 N°3.
Belkacem Y, Drid S, Makouf A, Bouslimani S, Chrifi-Alaoui L, Marhic B. Nonlinear control of the doubly fed induction generator used with wind turbine for an isolated grid. 2016 17th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA). 2016 :19-25.
Belkacem Y, Drid S, Makouf A, Bouslimani S, Chrifi-Alaoui L, Marhic B. Nonlinear control of the doubly fed induction generator used with wind turbine for an isolated grid. 2016 17th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA). 2016 :19-25.
Belkacem Y, Drid S, Makouf A, Bouslimani S, Chrifi-Alaoui L, Marhic B. Nonlinear control of the doubly fed induction generator used with wind turbine for an isolated grid. 2016 17th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA). 2016 :19-25.
Belkacem Y, Drid S, Makouf A, Bouslimani S, Chrifi-Alaoui L, Marhic B. Nonlinear control of the doubly fed induction generator used with wind turbine for an isolated grid. 2016 17th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA). 2016 :19-25.
Belkacem Y, Drid S, Makouf A, Bouslimani S, Chrifi-Alaoui L, Marhic B. Nonlinear control of the doubly fed induction generator used with wind turbine for an isolated grid. 2016 17th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA). 2016 :19-25.
Belkacem Y, Drid S, Makouf A, Bouslimani S, Chrifi-Alaoui L, Marhic B. Nonlinear control of the doubly fed induction generator used with wind turbine for an isolated grid. 2016 17th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA). 2016 :19-25.
Houas A, Mokhtari Z, Melkemi KE, Boussaad A. A novel binary image encryption algorithm based on diffuse representation. Engineering Science and Technology, an International JournalEngineering Science and Technology, an International Journal. 2016;19 :1887-1894.
Houas A, Mokhtari Z, Melkemi KE, Boussaad A. A novel binary image encryption algorithm based on diffuse representation. Engineering Science and Technology, an International JournalEngineering Science and Technology, an International Journal. 2016;19 :1887-1894.
Houas A, Mokhtari Z, Melkemi KE, Boussaad A. A novel binary image encryption algorithm based on diffuse representation. Engineering Science and Technology, an International JournalEngineering Science and Technology, an International Journal. 2016;19 :1887-1894.
Houas A, Mokhtari Z, Melkemi KE, Boussaad A. A novel binary image encryption algorithm based on diffuse representation. Engineering Science and Technology, an International JournalEngineering Science and Technology, an International Journal. 2016;19 :1887-1894.
Belferdi W, Noui L, Behloul A. A Novel Cholesky Decomposition-based Scheme for Strict Image Authentication. 2nd international Conference on Pattern Analysis and Intelligent Systems. 2016.
Belferdi W, Noui L, Behloul A. A Novel Cholesky Decomposition-based Scheme for Strict Image Authentication. 2nd international Conference on Pattern Analysis and Intelligent Systems. 2016.
Belferdi W, Noui L, Behloul A. A Novel Cholesky Decomposition-based Scheme for Strict Image Authentication. 2nd international Conference on Pattern Analysis and Intelligent Systems. 2016.
Dahbi A, Nait-Said N, NAIT-SAID MS. A novel combined MPPT-pitch angle control for wide range variable speed wind turbine based on neural network. International Journal of Hydrogen EnergyInternational Journal of Hydrogen Energy. 2016;41 N 22 :9427-9442.Abstract
The objective of this paper is to develop a novel combined MPPT-pitch angle robust control system of a variable-speed wind turbine. The direct driven wind turbine using the permanent magnet synchronous generator (PMSG) is connected to the grid by means of fully controlled frequency converters, which consist of a pulse width-modulation PWM rectifier connected to an inverter via an intermediate DC bus. In order to maximize the exploited wind power and benefit from a wide range of the wind speed, a novel combined maximum power point tracking (MPPT)-Pitch angle control is developed using only one low cost circuit based on Neural Network (ANN), which allows the PMSG to operate at an optimal speed to extract maximum power when this last is lower than nominal power, and limit the extra power. To achieve feeding the grid with high-power and good quality of electrical energy, the inverter is controlled by (PWM) in a way to deliver only the active power into the grid, and thus to obtain a unit power factor. DC-link voltage is also controlled by the inverter. The dynamic and steady-state performances of the wind energy conversion system (WECS) are carried by using Matlab Simulink.
Dahbi A, Nait-Said N, NAIT-SAID MS. A novel combined MPPT-pitch angle control for wide range variable speed wind turbine based on neural network. International Journal of Hydrogen EnergyInternational Journal of Hydrogen Energy. 2016;41 N 22 :9427-9442.Abstract
The objective of this paper is to develop a novel combined MPPT-pitch angle robust control system of a variable-speed wind turbine. The direct driven wind turbine using the permanent magnet synchronous generator (PMSG) is connected to the grid by means of fully controlled frequency converters, which consist of a pulse width-modulation PWM rectifier connected to an inverter via an intermediate DC bus. In order to maximize the exploited wind power and benefit from a wide range of the wind speed, a novel combined maximum power point tracking (MPPT)-Pitch angle control is developed using only one low cost circuit based on Neural Network (ANN), which allows the PMSG to operate at an optimal speed to extract maximum power when this last is lower than nominal power, and limit the extra power. To achieve feeding the grid with high-power and good quality of electrical energy, the inverter is controlled by (PWM) in a way to deliver only the active power into the grid, and thus to obtain a unit power factor. DC-link voltage is also controlled by the inverter. The dynamic and steady-state performances of the wind energy conversion system (WECS) are carried by using Matlab Simulink.
Dahbi A, Nait-Said N, NAIT-SAID MS. A novel combined MPPT-pitch angle control for wide range variable speed wind turbine based on neural network. International Journal of Hydrogen EnergyInternational Journal of Hydrogen Energy. 2016;41 N 22 :9427-9442.Abstract
The objective of this paper is to develop a novel combined MPPT-pitch angle robust control system of a variable-speed wind turbine. The direct driven wind turbine using the permanent magnet synchronous generator (PMSG) is connected to the grid by means of fully controlled frequency converters, which consist of a pulse width-modulation PWM rectifier connected to an inverter via an intermediate DC bus. In order to maximize the exploited wind power and benefit from a wide range of the wind speed, a novel combined maximum power point tracking (MPPT)-Pitch angle control is developed using only one low cost circuit based on Neural Network (ANN), which allows the PMSG to operate at an optimal speed to extract maximum power when this last is lower than nominal power, and limit the extra power. To achieve feeding the grid with high-power and good quality of electrical energy, the inverter is controlled by (PWM) in a way to deliver only the active power into the grid, and thus to obtain a unit power factor. DC-link voltage is also controlled by the inverter. The dynamic and steady-state performances of the wind energy conversion system (WECS) are carried by using Matlab Simulink.
BENDJEDDOU YACINE, Abdessemed R, Merabet E, Bentouhami L. Novel direct vector control of self excited induction generator with estimation of magnetizing inductance using conventionnal PI and fuzzy PI controllers. th International Conférence on Electrical Engineering and First Workshop on Robotics and controls, CEE'2016. 2016.
BENDJEDDOU YACINE, Abdessemed R, Merabet E, Bentouhami L. Novel direct vector control of self excited induction generator with estimation of magnetizing inductance using conventionnal PI and fuzzy PI controllers. th International Conférence on Electrical Engineering and First Workshop on Robotics and controls, CEE'2016. 2016.
BENDJEDDOU YACINE, Abdessemed R, Merabet E, Bentouhami L. Novel direct vector control of self excited induction generator with estimation of magnetizing inductance using conventionnal PI and fuzzy PI controllers. th International Conférence on Electrical Engineering and First Workshop on Robotics and controls, CEE'2016. 2016.

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