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Merabet A.,Saint Mary's University, Halifax | Beguenane R.,Royal Military College of Canada | Thongam J.S.,PowerEnerSys Inc. | Hussein I.,Wind Energy TechnoCentre
IECON Proceedings (Industrial Electronics Conference) | Year: 2011

An adaptive sliding mode control strategy for speed tracking problem in variable speed wind turbine systems is presented in this work. The proposed adaptation strategy consists on updating the sliding gain and the turbine torque, which is considered unknown by the controller. The adaptation algorithms for the sliding gain and the torque estimation are carried out using the sliding surface to overcome the drawbacks of the conventional sliding mode control. The objective is to track a speed profile to operate the wind turbine in maximum power extraction. Simulation results are provided to validate the effectiveness of the proposed control system. © 2011 IEEE.


Tawfique K.A.,Saint Mary's University, Halifax | Merabet A.,Saint Mary's University, Halifax | Ibrahim H.,Wind Energy TechnoCentre | Beguenane R.,Royal Military College of Canada
2016 International Conference on Industrial Informatics and Computer Systems, CIICS 2016 | Year: 2016

This paper presents a control strategy for a standalone wind energy conversion system. A Dynamometer based wind turbine emulator is connected to a permanent magnet synchronous generator, whose output is fed to a rectifier. The bidirectional converter placed between battery and dc-link voltage, is used to charge/discharge the battery according to the generated power and to keep dc link voltage constant. The single phase inverter controls the load voltage under various wind condition. The control system includes a voltage/current controller for the battery and voltage controller for the load side. The proposed system is experimentally tested using OPAL-RT real time Hardware-in-Loop system. © 2016 IEEE.


Ahmed K.T.,Saint Mary's University, Halifax | Merabet A.,Saint Mary's University, Halifax | Merabet A.,University of Sharjah | Beguenane R.,Royal Military College of Canada | And 2 more authors.
2016 International Conference on Industrial Informatics and Computer Systems, CIICS 2016 | Year: 2016

This paper presents a control strategy for solar energy conversion system for DC microgrid. The energy system includes a storage device for standalone applications. Incremental conductance method has been adopted for maximum power point tracking in order to improve the efficiency of the system. The bidirectional converter, placed between the battery and the DC-link voltage, is controlled to charge/discharge the battery according to the generated power and to keep the DC-link voltage constant. Real time simulator has been used for parallel and distributed computing to maximize the controller efficiency. The proposed system is experimentally tested using OPAL-RT real time simulator. © 2016 IEEE.


Ramdenee D.,University of Quebec at Rimouski | Ibrahim H.,Wind Energy Technocentre | Barka N.,University of Quebec at Rimouski | Ilinca A.,University of Quebec at Rimouski
International Conference on Integrated Modeling and Analysis in Applied Control and Automation | Year: 2011

Study of aeroelastic phenomena on wind turbines (WT) has become a very important issue when it comes to safety and economical considerations as WT tend towards gigantism and flexibility. At the Wind Energy Research Laboratory (WERL), several studies and papers have been produced, all focusing on computational fluid dynamics (CFD) approaches to model and simulate different aeroleastic phenomena. Despite very interesting obtained results; CFD is very costly and difficult to be directly used for control purposes due to consequent computational time. This paper, hence, describes a complementary lumped system approach to CFD to model flutter phenomenon. This model is based on a described Matlab-Simulink model that integrates turbulence characteristics as well as characteristics aerodynamic physics. From this model, we elaborate on flutter Eigen modes and Eigen values in an aim to apply control strategies and relates ANSYS based CFD modeling to the lumped system.


Merabet A.,Saint Mary's University, Halifax | Ahmed K.T.,Saint Mary's University, Halifax | Ibrahim H.,Wind Energy TechnoCentre | Beguenane R.,Royal Military College of Canada | Belmokhtar K.,Wind Energy TechnoCentre
Canadian Conference on Electrical and Computer Engineering | Year: 2015

A sliding mode control strategy for speed tracking problem in variable speed wind turbine system is proposed in this paper. It is developed from the mechanical equation of the turbine-generator rotor. The validation of the proposed control is done using OPAL-RT real-time simulator and electrical modules from Lab-Volt. The proposed control strategy provides robustness to the parametric uncertainties of the wind turbine and generator. © 2015 IEEE.


Merabet A.,Saint Mary's University, Halifax | Ahmed K.T.,Saint Mary's University, Halifax | Beguenane R.,Royal Military College of Canada | Ibrahim H.,Wind Energy TechnoCentre
Canadian Conference on Electrical and Computer Engineering | Year: 2015

A feedback linearization controller with a sliding mode disturbance compensator for a permanent magnet synchronous generator based wind energy conversion system is proposed in this paper. The feedback linearization is based on Lie derivatives, input and disturbance relative degrees of the nonlinear generator system. The turbine torque is considered as unknown disturbance to the controller and its effects is rejected by a sliding mode compensator based on the speed tracking error. This compensator ensures the disturbance rejection and the robustness to the uncertainties present in the system. The effectiveness of the proposed controller is experimentally verified by a wind energy conversion system driven by the Opal-RT real-time simulator (OP5600). © 2015 IEEE.


Merabet A.,Saint Mary's University, Halifax | Rajasekaran V.,Saint Mary's University, Halifax | McMullin A.,Saint Mary's University, Halifax | Ibrahim H.,Wind Energy TechnoCentre | And 2 more authors.
Proceedings of the Institution of Mechanical Engineers. Part I: Journal of Systems and Control Engineering | Year: 2013

In this article, the problem of tracking control for variable speed induction generator-wind energy conversion system is investigated using nonlinear predictive control. A rotor speed predictive control algorithm has been designed to control the angular speed of the machine in order to allow the wind energy conversion system to operate with maximum power extraction. The generator torque and uncertainties are estimated and injected into the control law to improve the tracking performance. Control action is carried out assuming that all the states are known by measurement. Then, a state observer is implemented and Lyapunov method is used to prove the global stability of the complete continuous control scheme. Simulation is carried out to verify the performance of the proposed control system. © 2012 IMechE.


Ibrahim H.,Wind Energy TechnoCentre | Ibrahim H.,University of Quebec at Rimouski | Ibrahim H.,University of Quebec at Chicoutimi | Younes R.,University of Quebec at Rimouski | And 6 more authors.
Applied Energy | Year: 2010

Remote areas around the world predominantly rely on diesel-powered generators for their electricity supply, a relatively expensive and inefficient technology that is responsible for the emission of 1.2 million tons of greenhouse gas (GHG) annually, only in Canada [1]. Wind-diesel hybrid systems (WDS) with various penetration rates have been experimented to reduce diesel consumption of the generators. After having experimented wind-diesel hybrid systems (WDS) that used various penetration rates, we turned our focus to that the re-engineering of existing diesel power plants can be achieved most efficiently, in terms of cost and diesel consumption, through the introduction of high penetration wind systems combined with compressed air energy storage (CAES). This article compares the available technical alternatives to supercharge the diesel that was used in this high penetration wind-diesel system with compressed air storage (WDCAS), in order to identify the one that optimizes its cost and performances. The technical characteristics and performances of the best candidate technology are subsequently assessed at different working regimes in order to evaluate the varying effects on the system. Finally, a specific WDCAS system with diesel engine downsizing is explored. This proposed design, that requires the repowering of existing facilities, leads to heightened diesel power output, increased engine lifetime and efficiency and to the reduction of fuel consumption and GHG emissions, in addition to savings on maintenance and replacement cost. © 2009 Elsevier Ltd. All rights reserved.

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