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Papers by Anass Ait Laachir

Research paper thumbnail of Optimization of Photovoltaic Power Systems

Green Energy and Technology, 2012

Research paper thumbnail of Recursive Parametric Identification of a Doubly Fed Induction Generator-Based Wind Turbine

World Academy of Science, Engineering and Technology, International Journal of Energy and Power Engineering, Jun 13, 2016

Research paper thumbnail of Nonlinear model predictive control applied to a DFIG-based wind turbine with a Shunt APF

Research paper thumbnail of Contribution à la commande intelligente de la chaine de conversion des sytèmes photovoltaïques raccordés au réseau électrique BT/MT

Research paper thumbnail of Maximum power point tracking using adaptive fuzzy logic control for grid-connected photovoltaic system

Research paper thumbnail of Dfig-Based Wind Turbine With Shunt Active Power Filter Controlled By Double Nonlinear Predictive Controller

This paper presents a wind turbine based on the doubly fed induction generator (DFIG) connected t... more This paper presents a wind turbine based on the doubly fed induction generator (DFIG) connected to the utility grid through a shunt active power filter (SAPF). The whole system is controlled by a double nonlinear predictive controller (DNPC). A Taylor series expansion is used to predict the outputs of the system. The control law is calculated by optimization of the cost function. The first nonlinear predictive controller (NPC) is designed to ensure the high performance tracking of the rotor speed and regulate the rotor current of the DFIG, while the second one is designed to control the SAPF in order to compensate the harmonic produces by the three-phase diode bridge supplied by a passive circuit (rd, Ld). As a result, we obtain sinusoidal waveforms of the stator voltage and stator current. The proposed nonlinear predictive controllers (NPCs) are validated via simulation on a 1.5 MW DFIG-based wind turbine connected to an SAPF. The results obtained appear to be satisfactory and prom...

Research paper thumbnail of Fuzzy Logic Control for Maximum Power Point

— Maximizing the power point tracking of photovoltaic systems is currently the purpose of several... more — Maximizing the power point tracking of photovoltaic systems is currently the purpose of several researches in the context of renewable energies improvement. In this work we optimize and enhance the maximum power point tracking algorithm based on fuzzy logic controller. Our approach focuses on determining the maximum power point in a minimal time in order to get the lowest possible energy loss. The fuzzy logic controller presented in this work provide fast response and good performance against the climatic and load change and uses directly the DC/DC converter duty cycle as a control parameter. After establishing our algorithm, we have performed a comparative study with the classical algorithm used most perturb and observe in various operating conditions. The simulation results using MATLAB/Simulink show that fuzzy logic controller provides better tracking compared to Perturb and observe despite the climatic change (solar insolation and temperature). Index Terms — DC-DC converter, f...

Research paper thumbnail of State of Charge estimation algorithms in Lithium-ion battery-powered Electric Vehicles

2018 International Conference on Electronics, Control, Optimization and Computer Science (ICECOCS), 2018

Since 2015, electric vehicles(EVs) market is growing rapidly and their performance is highly eval... more Since 2015, electric vehicles(EVs) market is growing rapidly and their performance is highly evaluated and as known the performance of electric vehicles depends on knowledge of internal battery's state, as the only power source, including state of sife(SOL), state of health(SOH) and state of charge(SOC) which are maintaining and controlling through a specific system named Battery Management System(BMS)[1]. The purpose to embed a Battery Management System in electric and hybrid electric vehicles is to ensure the safety and maintain the reliability of the battery, keep it within its Safe Operation Area(SOA), balancing battery's cells to keep the high performance of EV and HEV battery and to avoid any overcharging-discharging that may be the reason of fires and explosions, by controlling and monitoring battery SOC. This paper summarizes classical and intelligent state of charge estimation methods for Lithium-ion(Li-ion) batteries, with a discussion of their advan-tages and disadvantages in application.

Research paper thumbnail of Contribution to fuzzy logic control of photovoltaic system connected to the electric grid

Research paper thumbnail of Robust Control Based On Sliding Mode of the Shunt Active Filter to Compensate For the Disturbing Currents in the Electric Power

The present publication articulates on the robust control strategy of the shunt active power filt... more The present publication articulates on the robust control strategy of the shunt active power filter (SAPF) originally based on the sliding mode. The new control strategy is tested to control the SAPF to compensate actively for the disturbing currents in the electric power under the presence of the voltage disturbances. The simulation results reveal a perfect compensation for the currents disturbances and the reactive power with a contribution to improve the robustness in stability and in speed of the SAPF. The efficiency of the proposed control strategy contribute to the improvement of the supply current spectrum and the phase displacement factor. Consequently, the control strategy proposed allows the SAPF to improve the energy quality. Keywords-Shunt active power filter; Robust control; Sliding mode; Digital simulation; Energy quality

Research paper thumbnail of Robust Model Predictive Control Applied to a WRIG-Based Wind Turbine

International Review of Automatic Control (IREACO), 2016

This paper proposes a robust nonlinear predictive controller (Robust NPC) applied to a wound-roto... more This paper proposes a robust nonlinear predictive controller (Robust NPC) applied to a wound-rotor induction generator (WRIG)-based wind turbine. The Taylor series expansion is used to predict the outputs system and the cost function which determines the control law. The objective of the paper is to ensure the WRIG optimum performances in terms of the tracking of the desired trajectory of the rotor speed and the controlling of the rotor current. The nonlinear predictive controller (NPC) cannot ensure the best performances of the system in the presence of the external perturbation. That’s the reason why a perturbation observer (POB) is necessary. It ensures a robustness against the perturbation by predicting its aerodynamic torque. The proposed controller is studied via simulation on a 1.5 MW WRIG-based wind turbine. Good results were obtained with respect to the rotor speed trajectory tracking and rotor current tracking that shows the benefits of using a robust NPC.

Research paper thumbnail of AC Grid Connected DFIG-Based Wind Turbine with Shunt Active Power Filter Based on Nonlinear Predictive Control

International Review on Modelling and Simulations (IREMOS), 2015

Research paper thumbnail of Optimization of Photovoltaic Power Systems - Modelization, Simulation and Control

The book is organized through seven chapters. The first chapter is intended as an introduction to... more The book is organized through seven chapters. The first chapter is intended as an introduction to the subject. It defines the photovoltaic process, introduces the main meteorological elements, the solar irradiance and presents an overview of PV systems (stand alone systems and grid connected systems). This chapter also includes pre-sizing and maintenance of PV systems.
Chapter 2 focuses on an explicit modeling of solar irradiance and cells. Different models describing the operation and the behavior of the photovoltaic generator are presented. Some programs are given under MATLABTM/SIMULINKTM.
Chapter 3 is devoted to power electronics modeling. The different structures of converters used in PV systems are presented.
In Chap. 4, a detailed review on the most used algorithms to track the maximum power point is presented. Some simple MATLABTM/SIMULINKTM examples aregiven.
In Chap. 5, a description and modeling of the storage device is showed. The study describes a usual battery bank and provides an explicit modeling and experimental scheme of the lead-acid battery.
Chapter 6 fulfils these tasks for a photovoltaic pumping system based on both DC and AC machines. Each component is modeled individually before connecting subsystems for simulation. Several control algorithms such as scalar, vector and direct torque control are well described. In addition, classic optimization algorithms are applied and an analysis of economic feasibility of PV pumping system in comparison with systems using diesel generators is presented. This chapter includes also environmental aspects of PV power pumping system.
The Chap. 7 is devoted to hybrid photovoltaic systems. The chapter describes the different configurations and the different combinations of hybrid PV systems.
Different synoptic schemes and simulation applications are also presented.

Research paper thumbnail of Maximum Power Point Tracking Using Adaptive Fuzzy Logic control for Photovoltaic System

This work presents an intelligent approach to the improvement and optimization of control perform... more This work presents an intelligent approach to the improvement and optimization of control performance of a photovoltaic system with maximum power point tracking based on fuzzy logic control. This control was compared with the conventional control based on Perturb &Observe algorithm. The results obtained in Matlab/Simulink under different conditions show a marked improvement in the performance of fuzzy control MPPT of the PV system.

Research paper thumbnail of Fuzzy Logic Control for Maximum Power Point Tracking of a Photovoltaic Field

Maximizing the power point tracking of photovoltaic systems is currently the purpose of several r... more Maximizing the power point tracking of photovoltaic
systems is currently the purpose of several researches in the
context of renewable energies improvement. In this work we
optimize and enhance the maximum power point tracking
algorithm based on fuzzy logic controller. Our approach focuses
on determining the maximum power point in a minimal time in
order to get the lowest possible energy loss. The fuzzy logic
controller presented in this work provide fast response and good
performance against the climatic and load change and uses
directly the DC/DC converter duty cycle as a control parameter.
After establishing our algorithm, we have performed a
comparative study with the classical algorithm used most perturb
and observe in various operating conditions. The simulation
results using MATLAB/Simulink show that fuzzy logic controller
provides better tracking compared to Perturb and observe despite
the climatic change (solar insolation and temperature).

Research paper thumbnail of Fuzzy logic control for maximum power point tracking of a photovoltaic field

Maximizing the power point tracking of photovoltaic systems is currently the purpose of several r... more Maximizing the power point tracking of photovoltaic
systems is currently the purpose of several researches in the
context of renewable energies improvement. In this work we
optimize and enhance the maximum power point tracking
algorithm based on fuzzy logic controller. Our approach focuses
on determining the maximum power point in a minimal time in
order to get the lowest possible energy loss. The fuzzy logic
controller presented in this work provide fast response and good
performance against the climatic and load change and uses
directly the DC/DC converter duty cycle as a control parameter.
After establishing our algorithm, we have performed a
comparative study with the classical algorithm used most perturb
and observe in various operating conditions. The simulation
results using MATLAB/Simulink show that fuzzy logic controller
provides better tracking compared to Perturb and observe despite
the climatic change (solar insolation and temperature).

Research paper thumbnail of Centrales PV guide pour le dimentionnement et la réalisation de projets à l'usage des bureaux d'ingénieurs

Le cours comprend les bases théoriques et les directives relatives aux différentes phases de la r... more Le cours comprend les bases théoriques et les directives relatives aux
différentes phases de la réalisation d’une centrale photovoltaïque. La
présente publication sert de document didactique de base et comprend
également certains «outils » de travail qui faciliteront la mise
en oeuvre d’un projet:

Research paper thumbnail of Optimization of Photovoltaic Power Systems

Green Energy and Technology, 2012

Research paper thumbnail of Recursive Parametric Identification of a Doubly Fed Induction Generator-Based Wind Turbine

World Academy of Science, Engineering and Technology, International Journal of Energy and Power Engineering, Jun 13, 2016

Research paper thumbnail of Nonlinear model predictive control applied to a DFIG-based wind turbine with a Shunt APF

Research paper thumbnail of Contribution à la commande intelligente de la chaine de conversion des sytèmes photovoltaïques raccordés au réseau électrique BT/MT

Research paper thumbnail of Maximum power point tracking using adaptive fuzzy logic control for grid-connected photovoltaic system

Research paper thumbnail of Dfig-Based Wind Turbine With Shunt Active Power Filter Controlled By Double Nonlinear Predictive Controller

This paper presents a wind turbine based on the doubly fed induction generator (DFIG) connected t... more This paper presents a wind turbine based on the doubly fed induction generator (DFIG) connected to the utility grid through a shunt active power filter (SAPF). The whole system is controlled by a double nonlinear predictive controller (DNPC). A Taylor series expansion is used to predict the outputs of the system. The control law is calculated by optimization of the cost function. The first nonlinear predictive controller (NPC) is designed to ensure the high performance tracking of the rotor speed and regulate the rotor current of the DFIG, while the second one is designed to control the SAPF in order to compensate the harmonic produces by the three-phase diode bridge supplied by a passive circuit (rd, Ld). As a result, we obtain sinusoidal waveforms of the stator voltage and stator current. The proposed nonlinear predictive controllers (NPCs) are validated via simulation on a 1.5 MW DFIG-based wind turbine connected to an SAPF. The results obtained appear to be satisfactory and prom...

Research paper thumbnail of Fuzzy Logic Control for Maximum Power Point

— Maximizing the power point tracking of photovoltaic systems is currently the purpose of several... more — Maximizing the power point tracking of photovoltaic systems is currently the purpose of several researches in the context of renewable energies improvement. In this work we optimize and enhance the maximum power point tracking algorithm based on fuzzy logic controller. Our approach focuses on determining the maximum power point in a minimal time in order to get the lowest possible energy loss. The fuzzy logic controller presented in this work provide fast response and good performance against the climatic and load change and uses directly the DC/DC converter duty cycle as a control parameter. After establishing our algorithm, we have performed a comparative study with the classical algorithm used most perturb and observe in various operating conditions. The simulation results using MATLAB/Simulink show that fuzzy logic controller provides better tracking compared to Perturb and observe despite the climatic change (solar insolation and temperature). Index Terms — DC-DC converter, f...

Research paper thumbnail of State of Charge estimation algorithms in Lithium-ion battery-powered Electric Vehicles

2018 International Conference on Electronics, Control, Optimization and Computer Science (ICECOCS), 2018

Since 2015, electric vehicles(EVs) market is growing rapidly and their performance is highly eval... more Since 2015, electric vehicles(EVs) market is growing rapidly and their performance is highly evaluated and as known the performance of electric vehicles depends on knowledge of internal battery's state, as the only power source, including state of sife(SOL), state of health(SOH) and state of charge(SOC) which are maintaining and controlling through a specific system named Battery Management System(BMS)[1]. The purpose to embed a Battery Management System in electric and hybrid electric vehicles is to ensure the safety and maintain the reliability of the battery, keep it within its Safe Operation Area(SOA), balancing battery's cells to keep the high performance of EV and HEV battery and to avoid any overcharging-discharging that may be the reason of fires and explosions, by controlling and monitoring battery SOC. This paper summarizes classical and intelligent state of charge estimation methods for Lithium-ion(Li-ion) batteries, with a discussion of their advan-tages and disadvantages in application.

Research paper thumbnail of Contribution to fuzzy logic control of photovoltaic system connected to the electric grid

Research paper thumbnail of Robust Control Based On Sliding Mode of the Shunt Active Filter to Compensate For the Disturbing Currents in the Electric Power

The present publication articulates on the robust control strategy of the shunt active power filt... more The present publication articulates on the robust control strategy of the shunt active power filter (SAPF) originally based on the sliding mode. The new control strategy is tested to control the SAPF to compensate actively for the disturbing currents in the electric power under the presence of the voltage disturbances. The simulation results reveal a perfect compensation for the currents disturbances and the reactive power with a contribution to improve the robustness in stability and in speed of the SAPF. The efficiency of the proposed control strategy contribute to the improvement of the supply current spectrum and the phase displacement factor. Consequently, the control strategy proposed allows the SAPF to improve the energy quality. Keywords-Shunt active power filter; Robust control; Sliding mode; Digital simulation; Energy quality

Research paper thumbnail of Robust Model Predictive Control Applied to a WRIG-Based Wind Turbine

International Review of Automatic Control (IREACO), 2016

This paper proposes a robust nonlinear predictive controller (Robust NPC) applied to a wound-roto... more This paper proposes a robust nonlinear predictive controller (Robust NPC) applied to a wound-rotor induction generator (WRIG)-based wind turbine. The Taylor series expansion is used to predict the outputs system and the cost function which determines the control law. The objective of the paper is to ensure the WRIG optimum performances in terms of the tracking of the desired trajectory of the rotor speed and the controlling of the rotor current. The nonlinear predictive controller (NPC) cannot ensure the best performances of the system in the presence of the external perturbation. That’s the reason why a perturbation observer (POB) is necessary. It ensures a robustness against the perturbation by predicting its aerodynamic torque. The proposed controller is studied via simulation on a 1.5 MW WRIG-based wind turbine. Good results were obtained with respect to the rotor speed trajectory tracking and rotor current tracking that shows the benefits of using a robust NPC.

Research paper thumbnail of AC Grid Connected DFIG-Based Wind Turbine with Shunt Active Power Filter Based on Nonlinear Predictive Control

International Review on Modelling and Simulations (IREMOS), 2015

Research paper thumbnail of Optimization of Photovoltaic Power Systems - Modelization, Simulation and Control

The book is organized through seven chapters. The first chapter is intended as an introduction to... more The book is organized through seven chapters. The first chapter is intended as an introduction to the subject. It defines the photovoltaic process, introduces the main meteorological elements, the solar irradiance and presents an overview of PV systems (stand alone systems and grid connected systems). This chapter also includes pre-sizing and maintenance of PV systems.
Chapter 2 focuses on an explicit modeling of solar irradiance and cells. Different models describing the operation and the behavior of the photovoltaic generator are presented. Some programs are given under MATLABTM/SIMULINKTM.
Chapter 3 is devoted to power electronics modeling. The different structures of converters used in PV systems are presented.
In Chap. 4, a detailed review on the most used algorithms to track the maximum power point is presented. Some simple MATLABTM/SIMULINKTM examples aregiven.
In Chap. 5, a description and modeling of the storage device is showed. The study describes a usual battery bank and provides an explicit modeling and experimental scheme of the lead-acid battery.
Chapter 6 fulfils these tasks for a photovoltaic pumping system based on both DC and AC machines. Each component is modeled individually before connecting subsystems for simulation. Several control algorithms such as scalar, vector and direct torque control are well described. In addition, classic optimization algorithms are applied and an analysis of economic feasibility of PV pumping system in comparison with systems using diesel generators is presented. This chapter includes also environmental aspects of PV power pumping system.
The Chap. 7 is devoted to hybrid photovoltaic systems. The chapter describes the different configurations and the different combinations of hybrid PV systems.
Different synoptic schemes and simulation applications are also presented.

Research paper thumbnail of Maximum Power Point Tracking Using Adaptive Fuzzy Logic control for Photovoltaic System

This work presents an intelligent approach to the improvement and optimization of control perform... more This work presents an intelligent approach to the improvement and optimization of control performance of a photovoltaic system with maximum power point tracking based on fuzzy logic control. This control was compared with the conventional control based on Perturb &Observe algorithm. The results obtained in Matlab/Simulink under different conditions show a marked improvement in the performance of fuzzy control MPPT of the PV system.

Research paper thumbnail of Fuzzy Logic Control for Maximum Power Point Tracking of a Photovoltaic Field

Maximizing the power point tracking of photovoltaic systems is currently the purpose of several r... more Maximizing the power point tracking of photovoltaic
systems is currently the purpose of several researches in the
context of renewable energies improvement. In this work we
optimize and enhance the maximum power point tracking
algorithm based on fuzzy logic controller. Our approach focuses
on determining the maximum power point in a minimal time in
order to get the lowest possible energy loss. The fuzzy logic
controller presented in this work provide fast response and good
performance against the climatic and load change and uses
directly the DC/DC converter duty cycle as a control parameter.
After establishing our algorithm, we have performed a
comparative study with the classical algorithm used most perturb
and observe in various operating conditions. The simulation
results using MATLAB/Simulink show that fuzzy logic controller
provides better tracking compared to Perturb and observe despite
the climatic change (solar insolation and temperature).

Research paper thumbnail of Fuzzy logic control for maximum power point tracking of a photovoltaic field

Maximizing the power point tracking of photovoltaic systems is currently the purpose of several r... more Maximizing the power point tracking of photovoltaic
systems is currently the purpose of several researches in the
context of renewable energies improvement. In this work we
optimize and enhance the maximum power point tracking
algorithm based on fuzzy logic controller. Our approach focuses
on determining the maximum power point in a minimal time in
order to get the lowest possible energy loss. The fuzzy logic
controller presented in this work provide fast response and good
performance against the climatic and load change and uses
directly the DC/DC converter duty cycle as a control parameter.
After establishing our algorithm, we have performed a
comparative study with the classical algorithm used most perturb
and observe in various operating conditions. The simulation
results using MATLAB/Simulink show that fuzzy logic controller
provides better tracking compared to Perturb and observe despite
the climatic change (solar insolation and temperature).

Research paper thumbnail of Centrales PV guide pour le dimentionnement et la réalisation de projets à l'usage des bureaux d'ingénieurs

Le cours comprend les bases théoriques et les directives relatives aux différentes phases de la r... more Le cours comprend les bases théoriques et les directives relatives aux
différentes phases de la réalisation d’une centrale photovoltaïque. La
présente publication sert de document didactique de base et comprend
également certains «outils » de travail qui faciliteront la mise
en oeuvre d’un projet: