http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Makhloufi, S.,Abdessemed, R. The Korean Institute of Electrical Engineers 2011 Journal of Electrical Engineering & Technology Vol.6 No.6
Conventional methodologies (empirical, analytical, numerical, hybrid, etc.) for sizing photovoltaic (PV) systems cannot be used when the relevant meteorological data are not available. To overcome this situation, modern methods based on artificial intelligence techniques have been developed for sizing the PV systems. In the present study, the optimum PV/inverter sizing ratio for grid-connected PV systems with orientation due south and inclination angles of $45^{\circ}$ and $60^{\circ}$ in selected Algerian locations was determined in terms of total system output using type-2 fuzzy logic. Because measured data for the locations chosen were not available, a year of synthetic hourly meteorological data for each location generated by the PVSYST software was used in the simulation.
Type-2 Fuzzy Logic Optimum PV/inverter Sizing Ratio for Grid-connected PV Systems
S. Makhloufi,R. Abdessemed 대한전기학회 2011 Journal of Electrical Engineering & Technology Vol.6 No.6
Conventional methodologies (empirical, analytical, numerical, hybrid, etc.) for sizing photovoltaic (PV) systems cannot be used when the relevant meteorological data are not available. To overcome this situation, modern methods based on artificial intelligence techniques have been developed for sizing the PV systems. In the present study, the optimum PV/inverter sizing ratio for grid-connected PV systems with orientation due south and inclination angles of 45° and 60° in selected Algerian locations was determined in terms of total system output using type-2 fuzzy logic. Because measured data for the locations chosen were not available, a year of synthetic hourly meteorological data for each location generated by the PVSYST software was used in the simulation.
RBDO analysis of the aircraft wing based aerodynamic behavior
Rabii El Maani,Abderahman Makhloufi,Bouchaïb Radi,Abdelkhalak El Hami 국제구조공학회 2017 Structural Engineering and Mechanics, An Int'l Jou Vol.61 No.4
The need of progress in engineering designs especially for aerospace structure is nowadays becoming a major industry request. The objectives of this work are to quantify the influence of material and operational uncertainties on the performance of the aerodynamic behavior of an Aircraft Wing, and to give a description of the most commonly used methods for reliability based design optimization (RBDO) to point out the advantages of the application of this method in the design process. A new method is proposed, called Safest Point (SP) that can efficiently give the reliability-based optimum solution for freely vibrating structures with and without fluid flow.
Labed Nasreddine,Attoui Issam,Makhloufi Salim,Bouraiou Ahmed,Bouakkaz Mohammed Salah 대한전기학회 2023 Journal of Electrical Engineering & Technology Vol.18 No.3
In the recent years, the usage of fossil fuels presents the major source of air pollutants and greenhouse gases. Renewable energies essentially wind, solar, geothermal, waves, biomass, hydrogen and so on, are used as an alternative source of fossil energy to overcome these problems. Among the several renewable energy sources, the wind energy is one of the primary types of renewable energy that can be effectively connected to the grid. However, power generation management, control and condition monitoring of wind turbine systems represent major challenges to the researchers in this field. Therefore, this paper considers these issues and demonstrates effective techniques of power generation management, system control and condition monitoring. A hybrid super-capacitor-battery energy storage system is used to support the power generation of the wind turbine under wind speed variations and grid demand changes using two DC/DC converters. Fractional Order PI Controllers tuned using particle swarm optimization PSO algorithm, are proposed in order to control the proposed system. The control strategy guarantees the stability of the wind turbine system in healthy and faulty operating conditions. Based on the stator reactive power signal of the DFIG, the proposed diagnostic strategy involves a data-driven method using the FFT algorithm for extracting the frequency feature parameters. The Adaptive Neuro-Fuzzy Inference System ANFIS is used for automatically detecting and classifying the rotor and stator faults of the DFIG. Finally, simulation results validate the effectiveness and the reliability of the proposed methods.
Kharmanda, G.,Sharabatey, S.,Ibrahim, H.,Makhloufi, A.,Elhami, A. Society for Computational Design and Engineering 2009 International Journal of CAD/CAM Vol.9 No.1
When Deterministic Design Optimization (DDO) methods are used, deterministic optimum designs are frequently pushed to the design constraint boundary, leaving little or no room for tolerances (or uncertainties) in design, manufacture, and operating processes. In the Reliability-Based Design Optimization (RBDO) model for robust system design, the mean values of uncertain system variables are usually used as design variables, and the cost is optimized subject to prescribed probabilistic constraints as defined by a nonlinear mathematical programming problem. Therefore, a RBDO solution that reduces the structural weight in uncritical regions does not only provide an improved design but also a higher level of confidence in the design. In this work, we seek to improve the quality of RBDO processes using efficient optimization techniques with object of improving the resulting objective function and satisfying the required constraints. Our recent RBDO developments show its efficiency and applicability in this context. So we present some recent structural engineering applications demonstrate the efficiency of these developed RBDO methods.
Energy-Aware Self-Stabilizing Distributed Clustering Protocol for Ad Hoc Networks: the case of WSNs
( Mandicou Ba ),( Olivier Flauzac ),( Bachar Salim Haggar ),( Rafik Makhloufi ),( Florent Nolot ),( Ibrahima Niang ) 한국인터넷정보학회 2013 KSII Transactions on Internet and Information Syst Vol.7 No.11
In this paper, we present an Energy-Aware Self-Stabilizing Distributed Clustering protocol based on message-passing model for Ad Hoc networks. The latter does not require any initialization. Starting from an arbitrary configuration, the network converges to a stable state in a finite time. Our contribution is twofold. We firstly give the formal proof that the stabilization is reached after at most transitions and requires at most n*log(2n+k+3) memory space, where n is the number of network nodes and k represents the maximum hops number in the clusters. Furthermore, using the OMNeT++ simulator, we perform an evaluation of our approach. Secondly, we propose an adaptation of our solution in the context of Wireless Sensor Networks (WSNs) with energy constraint. We notably show that our protocol can be easily used for constructing clusters according to multiple criteria in the election of cluster-heads, such as nodes` identity, residual energy or degree. We give a comparison under the different election metrics by evaluating their communication cost and energy consumption. Simulation results show that in terms of number of exchanged messages and energy consumption, it is better to use the Highest-ID metric for electing CHs.