Abstract :
In recent year's renewable energy sources have become a useful alternative for the power generation. The power of photovoltaic is nonlinear function of its voltage and current. It is necessary to maintain the operation point of photovoltaic in order to get the maximum power point (MPP) in various solar intensity. Fuzzy logic controller has advantage in handling non-linear system. Maximum power point trackers are so important in photovoltaic systems to increase their efficiency. Many methods have been proposed to achieve the maximum power that the PV modules. This paper proposed an intelligent method for MPPT based on fuzzy logic controller. The system consists of a photovoltaic solar module connected to a DC-DC Boost converter and the fuzzy logic controller for controlling on/off time of MOSFET switch of a boost converter. The proposed MPPT controller for grid-connected photovoltaic system is tested using model designed by Matlab/Simulink program. Comparison of different performance parameters such as: tracking efficiency and response time of the system shows that the proposed method gives higher efficiency and better performance than the conventional perturbation and observation method.
References:
[1] Jancarle L. Dos Santos, Fernando L. M. Antunes and Anis
Chehab, “A Maximum Power Point Tracker for PV Systems
Using a High Performance Boost Converter”, Solar Energy,
Vol.80, Iss.7, pp.772- 778, 2005.
[2] S. J. Chiang, K.T. Chang, C. Y. Yen, “Residential Photovoltaic
Energy Storage System”, IEEE Trans. On Ind. Electronics,
Vol.45, No.3, June 1998, pp.385-394 and M. Oliver, T.
Jackson, “The market for solar photovoltaics”, Energy Policy
Vol.27, pp.371-380, 1999.
[3] Ting-Chung Yu and Tang-Shiuan Chien, "Analysis and
Simulation of Characteristics and Maximum Power Point
Tracking for Photovoltaic Systems", Proceeding of power
Electronic and drive systems Conference, pp.1339-1344,
Taipei, 2009.
[4] Roberto Faranda, Sonia Leva, “Energy Comparison of MPPT
techniques for PV Systems”, Wseas Transctions on Power
System, Vol. 3, Iss.6, pp.446-455, June 2008.
[5] D. P. Hohm and M. E. Ropp, “Comparative Study of Maximum
Power Point Tracking Algorithms using an experimental,
programmable, maximum power point tracking test bed”,
Proceedings of Photovoltaic Specialists Conference, pp.1699-
1702, USA,2000.
[6] Trishan Esram and Patrick L. Chapman, “Comparison of
Photovoltaic Array Maximum Power Point Tracking
Techniques”, Energy Conversion, Vol.22, Iss.2, pp.439-449,
May 2007.
International Journal of Smart Electrical Engineering, Vol.2, No.4, Fall 2013 ISSN: 2251-9246
EISSN: 2345-6221
244
[7]
V. Salas, E. Olias, A. Barrado, A. Lazaro, “Review of the Maximum Power Point Tracking Algorithms for Stand-alone Photo voltaic Systems”, Solar Energy Materials and Solar Cells, Vol.90, Iss.11, pp.1555-1578, July 2008.
[8]
Castafier, Luis & Santiago Silvestre, “Modelling Photovoltaic Systems using PSpice”, John Wiley & Sons Ltd, 2002.
[9]
Villalva,M. Gazoli,J. and Ruppert ,E. "Modeling and Circuit-Based Simulation of Photovoltaic Arrays”, IEEE Transactions on Power Electronics, Vol.24, No.5, May 2009.
[10]
I. Laird, H. Lovatt, N. Savvides, “Comparative Study of Maximum Power Point Tracking Algorithms for Thermoelectric Generators”, Australasian Universities Power Engineering Conference (AUPEC'08), Paper P-217, 2008.
[11]
C. Larbes, S.M. Af't Cheikh, T. Obeidi, A. Zerguerras, " Genetic algorithms optimized fuzzy logic control for the maximum power point tracking in photovoltaic system", Renewable Energy, Vol. 34, Iss.19, pp.2093-2100, 2009.
[12]
Tavares, Leite, Suemitsu, Bellar, “Performance Evaluation of Photovoltaic solar system with different MPPT methods", Proceedings of Industrial Electronics Conference, pp.719-724, 2009.
[13]
Aït,M. Cheikh,S. C.Larbes, (Septembre 2007) Maximum power point tracking using a fuzzy logic control scheme.
