Yazar "Chouder, Aissa" seçeneğine göre listele

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    Analysis of spatial fixed PV arrays configurations to maximize energy harvesting in BIPV applications
    (Pergamon-Elsevier Science Ltd, 2015) Celik, Berk; Karatepe, Engin; Silvestre, Santiago; Gokmen, Nuri; Chouder, Aissa
    This paper presents a new approach for efficient utilization of building integrated photovoltaic (BIPV) systems under partial shading conditions in urban areas. The aim of this study is to find out the best electrical configuration by analyzing annual energy generation of the same BIPV system, in terms of nominal power, without changing physical locations of the PV modules in the PV arrays. For this purpose, the spatial structure, of the PV system including the PV modules and the surrounding obstacles is taken into account on the basis of virtual reality environment. In this study, chimneys which are located on the residential roof-top area are considered to create the effect of shading over the PV array. The locations of PV modules are kept stationary, which is the main point of this paper, while comparing the performances of the configurations with the same surrounding obstacles that causes partial shading conditions. The same spatial structure with twelve distinct PV array configurations is considered. The same settling conditions on the roof-top area allow fair comparisons between PV array configurations. The payback time analysis is also performed with considering local and global maximum power points (MPPs) of PV arrays by comparing the annual energy yield of the different configurations. (C) 2014 Elsevier Ltd. All rights reserved.
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    Automatic fault detection in grid connected PV systems
    (Pergamon-Elsevier Science Ltd, 2013) Silvestre, Santiago; Chouder, Aissa; Karatepe, Engin
    This paper presents a detailed procedure for automatic supervision, fault detection, and diagnosis of possible failure sources leading to total or partial loss of productivity in grid connected PV systems. The diagnostic procedure is part of the monitoring system allowing, at the same time, modeling and simulation of the whole system and variables measurements in real time. The fault detection algorithm is based on the comparison of simulated and measured yields by analyzing the losses present in the system while the identification of the kind of fault is carried out by analyzing and comparing the amount of errors deviation of both DC current and voltage with respect to a set of errors thresholds evaluated on the basis of free fault system. The proposed method has been validated in with experimental data in a grid connected PV system in the Centre de Developpement des Energies Renouvelables (CDER) in Algeria. (C) 2013 Elsevier Ltd. All rights reserved.
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    Global MPPT Scheme for Photovoltaic String Inverters Based on Restricted Voltage Window Search Algorithm
    (Ieee-Inst Electrical Electronics Engineers Inc, 2014) Boztepe, Mutlu; Guinjoan, Francesc; Velasco-Quesada, Guillermo; Silvestre, Santiago; Chouder, Aissa; Karatepe, Engin
    String inverter photovoltaic (PV) systems with bypass diodes require improved global maximum power point tracking (GMPPT) algorithms to effectively reach the absolute maximum power operating point. Several GMPPT algorithms have been proposed to deal with this problem, but most of them require scanning wide voltage ranges of the PV array from nearly zero voltage to open-circuit voltage that increases the scanning time and, in turn, causes energy loss. This paper presents a novel GMPPT method which significantly restricts the voltage window search range and tracks the global power peak rapidly in all shading conditions. Simulation tests and experimental comparisons with another GMPPT algorithm are presented to highlight the features of the presented approach.
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    Monitoring, modelling and simulation of PV systems using LabVIEW
    (Pergamon-Elsevier Science Ltd, 2013) Chouder, Aissa; Silvestre, Santiago; Taghezouit, Bilal; Karatepe, Engin
    This paper presents a detailed characterization of the performance and dynamic behaviour of photovoltaic systems by using LabVIEW real-time interface system. The developed software tool integrates several types of instruments into a single system which is able to offer online measurements all data sources and comparison simulation results with monitored data in real-time. Comprehensive monitoring and analyzing of PV systems play a very important role. The proposed method is a low-cost solution to provide fast, secure and reliable system by making the system database-ready for performance analysis of PV systems. The proposed method is also applied to a grid connected PV system in the Centre de Developpement des Energies Renouvelables (CDER) in Algeria. The results show that there is a good agreement between the measured and simulation results values. The integration methodology of robust simulation and monitored data in real-time can be extended to study the fault diagnosis of a PV system. (C) 2012 Elsevier Ltd. All rights reserved.
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    New procedure for fault detection in grid connected PV systems based on the evaluation of current and voltage indicators
    (Pergamon-Elsevier Science Ltd, 2014) Silvestre, Santiago; Aires da Silva, Mario; Chouder, Aissa; Guasch, Daniel; Karatepe, Engin
    In this work we present a new procedure for automatic fault detection in grid connected photovoltaic (PV) systems. This method is based on the evaluation of new current and voltage indicators. Thresholds for these indicators are defined taking into account the PV system configuration: number of PV modules included and series and parallel interconnection to form the array. The procedure to calculate the thresholds that allow the identification of the faults is described. A simulation study was carried out to verify the evaluation of current and voltage indicators and their corresponding thresholds for a set of PV systems with different sizes and different configurations of interconnection of PV modules. The developed method was experimentally validated and has demonstrated its effectiveness in the detection of main faults present in grid connected applications. The computational analysis has been reduced and the number of monitoring sensors minimized. The fault detection procedure can be integrated into the inverter without using simulation software or additional external hardware. (C) 2014 Elsevier Ltd. All rights reserved.