Publication Internationale

A. Ghouari, H. Chaâbane, A. Chaghi, and M. Chahdi, “An Experimental Study on the Smart Home Concept with PV and Energy Management and Control Strategy Using an Open Source Platform,” Distributed Generation & Alternative Energy Journal, vol. 34 N 1, pp. 61-80, 2019.Abstract
The smart grid system is key to the new electrical network infrastructure. It takes into account the use of the new information and communication technologies (ITC) and the integration of the renewable energy power generation (photovoltaics PV, concentrated solar power CSP, wind, etc). The smart grid promises better management and control of energy sources. The application of the smart grid, especially, in Algeria allows the optimal control of the electricity demand since the latter keeps rising continuously. The use of smart grid allows the rationalization of the electricity consumption in smart homes through appliance automated control. Input energy savings result in the reduction of c emission. Herein, we present a new energy management strategy tested in an experimental smart home (SM). The implemented management approach was made possible by using a new electronic system that allowed the control of all appliances via the internet network. For this purpose, a dynamic monitoring web interface was developed under an open source platform in order to process the whole data delivered by the system. The final output of the system which consists of a balance between all types of energy involved, including CO2 gas emission, is displayed. It is only then that the user can take adequate decision and establish the priorities for rational use of the energy available.
R. Cheikh, A. Menacer, L. C. Alaoui, and S. Drid, “Robust nonlinear control via feedback linearization and Lyapunov theory for permanent magnet synchronous generator- based wind energy conversion system,” Frontiers in Energy, 2018.Abstract
In this paper, the method for the nonlinear control design of a permanent magnet synchronous generator based-wind energy conversion system (WECS) is proposed in order to obtain robustness against disturbances and harvest a maximum power from a typical stochastic wind environment. The technique overcomes both the problem of nonlinearity and the uncertainty of the parameter compared to such classical control designs based on traditional control techniques. The method is based on the differential geometric feedback linearization technique (DGT) and the Lyapunov theory. The results obtained show the effectiveness and performance of the proposed approach.
T. Roubache, S. Chaouch, and M. S. Nait-Said, “Comparative study between luenberger observer and extended kalman filter for fault-tolerant control of induction motor drives,” International Information and Engineering Technology Association, vol. 73 N 2, pp. 29-36, 2018.Abstract
In this paper, a robust active fault tolerant control (AFTC) scheme is proposed for induction motor drives (IMD) via input-output linearization control (IOLC) and nonlinear observer. In order to estimate the states and to reconstruct the faults, two different observers are used; a Luenberger observer (LO) and an extended kalman filter (EKF). Further we introduce feedback linearization strategy by choosing the output function as the rotor speed and flux square. To provide a direct comparison between these FTCs schemes, the performance is evaluated using the control of IMD under failures, variable speed, and variable parameters, finally the obtained results show that the proposed controller with the proposed observers provides a good trajectory tracking, and these schemes are robust with respect to faults, parameter variations, and external load disturbances for induction motor drive system.
I. Sellami, B. Manescau, K. Chetehouna, C. de Izarra, R. Nait-Said, and F. Zidani, “BLEVE fireball modeling using Fire Dynamics Simulator (FDS) in an Algerian gas industry,” Journal of Loss Prevention in the Process Industries, vol. 54, pp. 69-84, 2018.Abstract
BLEVE is one of major accidents observed in gas industry causing severe damage to people and environment. Its effects are manifested in three ways: shock wave propagation, fireball radiation and fragments projection. To assess these effects, risk decision-makers often use Quantitative Risk Analysis (QRA). In most cases, QRA data are obtained from empirical correlations. However, these correlations are not very satisfactory because they generally overestimate BLEVE effects and do not take into account geometry effects. In order to overcome the limitations of these empirical approaches, CFD modeling appears as a powerful tool able to provide more accurate data to better realize QRA. In this paper, the objective is to develop a CFD methodology in order to predict BLEVE thermal effectsNumerical simulations are carried out using the CFD code FDS. A sensitivity analysis of numerical models is performed in order to choose the right parameters allowing to model the fireball dynamics. The models retained are based on a single-step combustion using EDC model coupled with a LES turbulence model. Predictions show good agreement in comparison with results issued from three large-scale experiments. Furthermore, a case study on a propane accumulator in an Algerian gas processing unit is carried out.