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Aïn Oussera, Algeria

Messai A.,CRNB Ain Oussera | Mellit A.,Jijel University | Mellit A.,Abdus Salam International Center For Theoretical Physics | Guessoum A.,Blida University | Kalogirou S.A.,Cyprus University of Technology
Solar Energy | Year: 2011

Maximum power point tracking (MPPT) must usually be integrated with photovoltaic (PV) power systems so that the photovoltaic arrays are able to deliver the maximum power available. In this paper details of the work, carried out to optimize and implement a fuzzy logic controller (FLC) used as a maximum-power-point tracker for a stand-alone PV system, are presented. The near optimum design for membership functions and control rules were found simultaneously by genetic algorithms (GAs) which are search algorithms based on the mechanism of natural selection and genetics. These are easy to implement and efficient for multivariable optimization problems such as in fuzzy controller design. The FLC thus designed, as well as the components of the PV control unit, were implemented efficiently on a Xilinx reconfigurable field-programmable gate array (FPGA) chip using VHDL Hardware Description Language. The obtained simulation results confirm the good tracking efficiency and rapid response to changes in environmental parameters. © 2010 Elsevier Ltd. Source

Mekki H.,Blida University | Mellit A.,Jijel University | Mellit A.,Abdus Salam International Center For Theoretical Physics | Kalogirou S.A.,Cyprus University of Technology | And 2 more authors.
Progress in Photovoltaics: Research and Applications | Year: 2010

An implementation of an intelligent photovoltaic module on reconfigurable Field Programmable Gate Array (FPGA) is described in this paper. An experimental database of meteorological data (irradiation and temperature) and output electrical generation data of a Photovoltaic (PV) module (current and voltage) under variable climate condition is used in this study. Initially, an Artificial Neural Network (ANN) is developed under Matlab/Similuk, environment for modeling the PV module. The inputs of the ANN-PV module are the global solar irradiation and temperature while the outputs are the current and voltage generated from, the PV-module. Subsequently, the optimal configuration of the ANN model (ANN-PV module) is written and simulated under the Very High Description Language (VHDL) and. ModelSim. The synthesized architecture by ModelSim is then implemented on an FPGA device. The designed MLP-photovoltaic module permits the evaluation of performance of the PV module using only environmental parameters and involves less computational effort. The device can also be used for predicting the output electrical energy from the PV module and for a real time simulation in specific climatic conditions. Copyright © 2010 John Wiley & Sons, Ltd. Source

Mellit A.,Jijel University | Rezzouk H.,Jijel University | Messai A.,CRNB Ain Oussera | Medjahed B.,Jijel University
Renewable Energy | Year: 2011

In this paper an FPGA-based implementation of a real time perturb and observe (P&O) algorithm for tracking the Maximum Power Point (MPP) of a photovoltaic (PV) generator is presented. The P&O algorithm has been designed using the very high-speed description language (VHDL) and implemented on Xilinx Virtex-II-Pro(xc2v1000-4fg456) - Field Programmable Gate Array (FPGA). The algorithm and the hardware have been simulated and tested by conditioning the power produced by the PV-modules installed on the rooftop of the " Hall of Technology Laboratory" at Jijel University. The main advantages of the developed MPPT are low cost, good velocity, acceptable reliability, and easy implementation. However, its main disadvantage is related to the fact that for fast changes in irradiance it may fail to track the maximum power point. The efficiency of the implemented P&O controller is about 96%. © 2010 Elsevier Ltd. Source

Mellit A.,Jijel University | Mellit A.,Abdus Salam International Center For Theoretical Physics | Mekki H.,CRNB Ain Oussera | Messai A.,CRNB Ain Oussera | Kalogirou S.A.,Cyprus University of Technology
Expert Systems with Applications | Year: 2011

Recent advances in artificial intelligent techniques embedded into a Field Programmable Gate Array (FPGA) allowed the application of such technologies in real engineering problems (robotic, image and signal processing, control, power electronics, etc.), however, the application of such technologies in the solar energy field is very limited. The embedded intelligent algorithm into FPGA can play a very important role in energy and renewable energy systems for control, monitoring, supervision, etc. In this paper, the software as well as the implementation of intelligent predictors for solar irradiation on reconfigurable FPGA is described. FPGA technology was employed due to its development, flexibility and low cost. An experimental dataset of air temperature, solar irradiation, relative humidity and sunshine duration in a specific area is used; this database has been collected from 1998 to 2002 at Al-Madinah (Saudi Arabia). Initially, a MultiLayer Perceptron (MLP) is trained by using a set of 1460 patterns and then a set of 365 patterns are used for testing and validating the MLP-predictor. Six MLP-predictors (configurations) are proposed and developed by varying the MLP inputs data, while the output is always the global solar irradiation for different configurations [G=f̃(t,T,S,RH),G=f̃(t, T,S),G=f̃(t,T,RH),G=f̃(t,S,RH)G=f̃(t,T)andG=f̃(t,S)]. Subsequently, the different MLP-predictors developed are written and simulated under the Very High Speed Integrated Circuit Hardware Description Language (VHDL) and ModelSim®. The best designed architecture for different MLP-predictors is then implemented under the Xilinx® Virtex-II FPGA (XC2v1000). The developed hardware devices permit the prediction of global solar irradiation using available air temperature, relative humidity and sunshine duration; therefore, the designed configurations are very suitable especially in areas, where there are no instruments for measuring the solar irradiation data. © 2010 Elsevier Ltd. All rights reserved. Source

Mellit A.,University Sidi Mohammed Ben Abdellah | Mellit A.,Blida University | Mekki H.,CRNB Ain Oussera | Mekki H.,Blida University | And 3 more authors.
Expert Systems with Applications | Year: 2010

Modelling and simulation of stand-alone photovoltaic (SAPV) systems (PV module, battery, regulator, etc.) in real time is crucial for the control, the supervision, the diagnosis and for studying their performances. In this paper, an intelligent simulator for stand-alone PV system was developed. Firstly, a multilayer perceptron (MLP) has been used for modelling and simulating each component of the system, after that the optimal architecture for each component has been implemented and simulated by using the very high-speed description language (VHDL) and the ModelSim. Subsequently, the developed architectures for each component have been implemented under the Xilinx® Virtex-II Pro FPGA (XC2V1000) (field programmable gate array). The obtained results showed that good accuracy is found between predicted and experimental data (signal) in a specific location (south of Algeria). The designed intelligent components (PV-MLP generator, MLP-battery and MLP-regulator) of the SAPV system can be used with success for simulating the system in real time (under a specific climatic condition) by predicting the different output signals for each component constituting the system. © 2010 Elsevier Ltd. All rights reserved. Source

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