Please use this identifier to cite or link to this item:
|Title:||ANFIS-based modelling for photovoltaic power supply system: a case study||Authors:||Mellit, Adel
Kalogirou, Soteris A.
|Keywords:||Photovoltaic power systems;Electric power systems;Atmospheric radiation;Meteorology;Neural networks (Computer science);Artificial intelligence||Category:||Environmental Engineering||Field:||Engineering and Technology||Issue Date:||Jan-2011||Publisher:||Elsevier||Source:||Renewable Energy, 2011, vol. 36, no. 1, pp. 250–258||Journal:||Renewable Energy||Abstract:||Due to the various seasonal, monthly and daily changes in meteorological data, it is relatively difficult to find a suitable model for Photovoltaic power supply (PVPS) system. This paper deals with the modelling and simulation of a PVPS system using an Adaptive Neuro-Fuzzy Inference Scheme (ANFIS) and the proposition of a new expert configuration PVPS system. For the modelling of the PVPS system, it is required to find suitable models for its different components (ANFIS PV generator, ANFIS battery and ANFIS regulator) that could give satisfactory results under variable climatic conditions in order to test its performance and reliability. A database of measured climate data (global radiation, temperature and humidity) and electrical data (photovoltaic, battery and regulator voltage and current) of a PVPS system installed in Tahifet (south of Algeria) has been recorded for the period from 1992 to 1997. These data have been used for the modelling and simulation of the PVPS system. The results indicated that the reliability and the accuracy of the simulated system are excellent and the correlation coefficient between measured values and those estimated by the ANFIS gave a good prediction accuracy of 98%. Additionally, test results show that the ANFIS performed better than the Artificial Neural Network (ANN), which has also being tried to model the system. In addition, a new configuration of an expert PVPS system is proposed in this work. The predicted electrical data by the ANFIS model can be used for several applications in PV systems||URI:||http://ktisis.cut.ac.cy/handle/10488/7629||ISSN:||0960-1481||DOI:||10.1016/j.renene.2010.06.028||Collaboration :||Jijel University
Cyprus University of Technology
|Rights:||© Elsevier 2010||Type:||Article|
|Appears in Collections:||Άρθρα/Articles|
checked on Feb 13, 2018
WEB OF SCIENCETM
checked on Jun 2, 2020
Page view(s) 50226
checked on Jun 5, 2020
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.