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Publications by Author: A. Alibi

2018
T. Alnejaili, L. C. Alaoui, D. Mehdi, A. Alibi, and S. Drid, “An advanced energy management system with an economical optimization for a multi-sources stand-alone Home,” 7th International Conference on Systems and Control (ICSC), Valencia, Spain. pp. 154-159, 2018.Abstract
This paper proposes an advanced energy management system (EMS) for a stand-alone hybrid energy system. The considered hybrid system includes a photovoltaic panel, a fuel cell, an electrolyzer and a battery bank. The EMS aims to optimize the utilization cost of the hybrid power system and to improve its energy balance with the elimination of any energy deficit.The hybrid power system has been tested by simulation using models implemented in Matlab/Simulink software. The simulation is performed over a long period of time in order to evaluate the effectiveness of the management strategy. The simulation results confirm the efficiency of the proposed control strategy, as it increases the reliability of the system and improves its energy balance.
T. Alnejaili, A. Alibi, L. C. Alaoui, D. Mehdi, H. Sahraoui, and S. Drid, “Control and optimal management of a multi-source energy system,” 7th International Conference on Systems and Control (ICSC), Valencia, Spain. pp. 164-168, 2018.Abstract
The main aim of this work is to develop an energy management algorithm (EMS) that control renewable energy system that consists of PV panels, lead acid battery banks and supercapacitor. On addition to that a Graphical user interfaces is developed to control the power system. The efficiency of the controller was tested by the mean of simulation, the result assume the effectiveness of the proposed control method and the intelligent management of the power flow controller.
T. Boutabba, et al., “dSPACE Real-Time Implementation Sliding Mode Maximum Power Point Tracker for Photovoltaic system,” 7th International Conference on Systems and Control (ICSC), Valencia, Spain. pp. 137-141, 2018.Abstract
Maximum power point trackers are so important in photovoltaic systems to improve their overall efficiency. This paper presents a photovoltaic system with maximum power point tracking facility. An intelligent Sliding mode controller method is proposed in this paper to achieve the maximum power point tracking of PV modules. The system consists of a photovoltaic solar module connected to a DC-DC boost converter. The system is modeled using MATLAB/SIMULINK. The system has been experienced under disturbance in the photovoltaic loads and irradiation levels. The simulation results show that the proposed maximum power tracker tracks the maximum power accurately and successfully in all tested conditions. The MPPT system is then experimentally implemented. DSPACE is used in the implementation of the MPPT hardware setup for real-time control. Data acquisition and system control are implemented using dSPACE 1104 software and digital signal processor card. The experimental results show the efficiency of the proposed algorithm and confirm the simulation results.