Monitoring,modelling and simulation of PV systems using LabVIEW |
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| Affiliation: | 1. Photovoltaic Laboratory, Development Centre of Renewable Energies, BP 62 Route de l’Observatoire, 16340 Bouzareh Algiers, Algeria;2. Electronic Engineering Department, Universitat Politècnica de Catalunya, C/Jordi Girona 1-3, Campus Nord UPC, 08034 Barcelona, Spain;3. Department of Electrical and Electronics Engineering, Ege University, 35100 Bornova, Izmir, Turkey;1. Department of Electrical Electronic and Mechanical Engineering, Lac Hong University, Bien Hoa, Vietnam;2. Department of Electrical Engineering, Da-Yeh University, Chang-Hua 51591, Taiwan, ROC;3. Department of Information Engineering, Lac Hong University, Bien Hoa, Vietnam;1. Kasdi Merbah University of Ouargla, Ouargla, Algeria;2. University of Catania, Italy;3. Ferhat Abbas University Setif 1, Setif, Algeria;1. Institute of Smart Cities (ISC), Department of Electrical and Electronic Enginnering, Public University of Navarre, Arrosadía Campus, 31006 Pamplona, Spain;2. Institute of Solar Energy, PV Systems Research Group – Polytechnic University of Madrid (IES-UPM), 28031 Madrid, Spain |
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| Abstract: | 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. |
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