Browsing by Author "Mohamed SAAIDIA"

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HVDC electricity transportation technology: feasibility study (Algeria)
(2019 1st International Conference on Sustainable Renewable Energy Systems and Applications (ICSRESA), 2019-12-04) Nedjem Eddine Benchouia; Mohamed SAAIDIA; Lakhmissi DRARDJIA
HVDC technology is gradually becoming a standard in electrical energy transportation. Even more, in some situations, it’s the best practical solution. The research work presented hereafter is dedicated to the exploration of the basic notions, the induced gains, the basic components, the basic and extended structures, the applications, and the real implemented projects of such technology. An overview of the research works concerned with the challenges of this expandable technology and an economic study of the deployment of real electrical transportation lines and their feasibility in Algeria are presented.
One day ahead prediction of PV power production: case study of Oued-Elkebrit’s station (Algeria)
(2019 1st International Conference on Sustainable Renewable Energy Systems and Applications (ICSRESA), 2019-12-05) Nedjem Eddine Benchouia; Mohamed SAAIDIA; Talal Belhouchet; Kaltoum Achibi
The research work presented hereafter is based on a real recorded database of a PV plant in production and in connection with a classical electrical grid. Datasets were processed through two types of techniques. The first one, a classical type, is based on a predictive predefined model, however, the second one is an artificial intelligent method based on neural networks. Based on the carried out experiences, we proposed a new strategy to implement the proposed techniques. The results obtained through the two methods were compared which demonstrate the superiority of the AI method in terms of precision, generalization, and robustness. Obtained results for each method were recorded, analyzed, and compared.
Vector control of a three-level parallel structure UPS powered asynchronous machine
(5th International Conference on Maintenance and Industrial Safety CIMSI’2019, 2019-12-03) Nedjem Eddine Benchouia; Bilal SOLTANI; Belgacem MADI; Mohamed SAAIDIA
This work is dedicated to the vector control of the asynchronous machine; with orientation of the rotor flow. This technique makes it possible to decouple the control of the flow from that of the torque, similar to that of the DC machine with separate excitation. Indeed, the direct flow orientation method has been developed for conventional speed control. Through the simulation results obtained, we noted a good behavior of this one for the various tests carried out, however, shortcomings were observed concerning the sensitivity to disturbances of the load torque and their rejection time. But what strongly penalizes it is essentially its low robustness vis-à-vis the variations of the moment of inertia especially compared to those of the rotor inductance. In fact, the speed response is slightly affected, and for the changes in the rotor inductance, the decoupling of the machine deteriorates.
Vehicle Embedded by a Fuel Cell System: a review
(Séminaire international sur l’Industrie et la Technologie, 2021-03-13) Bilal SOLTANI; Nedjem Eddine Benchouia; Mohamed SAAIDIA
Among the various existing fuel cell, proton exchange membrane (PEM) fuel cells now seem to be the best suited to serve as a basis for the motorization of electric vehicles. This is explained in particular by their low operating temperature (about 70 ° C) and the solid nature of the electrolyte involved. In an emerging context of electromechanical system aspect involving the modeling and simulation of a set of components, the present work consists in developing a model of the system for modeling and optimization of an on-board vehicle by fuel cell system. . In this model, we will model the different parts of the system; PEMFC fuel cell, super-capacitor, converters and a permanent magnet synchronous motor. Validation by simulation is essential for its good analysis and comparison with experimental measurements. Finally, this work focuses on solving the problems of optimization to adapt it to the fuel cell system.