Fuzzy Logic Based Maximum Power Point Tracking Designed for 10kW Solar Photovoltaic System with Different Membership Functions
The electric power supplied by a photovoltaic power generation systems depends on the solar irradiation and temperature. The PV system can supply the maximum power to the load at a particular operating point which is generally called as maximum power point (MPP), at which the entire PV system operates with maximum efficiency and produces its maximum power. Hence, a Maximum power point tracking (MPPT) methods are used to maximize the PV array output power by tracking continuously the maximum power point. The proposed MPPT controller is designed for 10kW solar PV system installed at Cape Institute of Technology. This paper presents the fuzzy logic based MPPT algorithm. However, instead of one type of membership function, different structures of fuzzy membership functions are used in the FLC design. The proposed controller is combined with the system and the results are obtained for each membership functions in Matlab/Simulink environment. Simulation results are decided that which membership function is more suitable for this system.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1337701Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 3736
 J. Applebaum, “The Quality of Load Matching in a Direct coupling Photovoltaic System ", IEEE Trans. On Energy Conversion, Vol. 2, No.4, pp.534-541, Dec. 1987.
 T. Kawamura, K.Hrada, Y.Ishihara, T.Todaka, T. Oshiro, H.Nakamura, M.Imataki, “Analysis of MPPT Characteristics in Photovoltaic Power System”, Solar Energy Materials & Solar Cells, Vol. 47, pp.155-165, 1997.
 S.Mekhilef, R. Saidur and A.Safari, “A Review of Solar Energy use in Industries”, Elsevier Renewable and Sustainable Energy Reviews, Vol. 15, pp. 1777-1790, 2011.
 K.H. Solangi, M.R. Islam, R.Saidur, N.A. Rahim and H.Fayaz, “A Review on global Sola Energy Policy”, Elsevier, Vol.15, pp. 2149-2163, 2011..
 ] V.salas, E.Olyas, A. Barrado, A .Lazaro, “ Review of The Maximum Power Point Tracking Algorithms for Stand-Alone Photovoltaic Systems”, Solar Energy Materials & Solar Cells, Vol. 90, pp. 1555- 1578, 2006.
 N. Femia, D. Granozio, G. Petrone, G. Spaguuolo, and M. Vitelli, “Optimized one-cycle control in photovoltaic grid connected applications,” IEEE Trans. Aerosp. Electron. Syst., Vol. 42, pp. 954– 972, 2006.
 W. Wu, N. Pongratananukul, W. Qiu, K. Rustom, T. Kas-paris, and I. Batarseh, “DSP-based multiple peack power tracking for expandable power system,” in Proc. APEC, pp. 525–530, 2003.
 C. Hua and C. Shen, “Comparative study of peak power tracking techniques for solar storage system,” in Proc. APEC, pp. 679–685, 1998.
 D. P. Hohm and M. E. Ropp, “Comparative study of maximum power point tracking algorithms using an ex-perimental, programmable, maximum power point track-ing test bed,” in Proc. Photovoltaic Specialist Conference, pp. 1699–1702, 2000.
 K. H. Hussein, I. Muta, T. Hoshino, and M. Osakada, “Maximum power point tracking: an algorithm for rapidly chancing atmospheric conditions,” IEE Proc.-Gener. Transm. Distrib., Vol. 142, pp. 59–64, 1995.
 X. Sun, W. Wu, X. Li, and Q. Zhao, “A research on photovoltaic energy controlling system with maximum power point tracking,” in Power Conversion Conference, pp. 822–826, 2002..
 T. L. Kottas, Y. S. Boutalis, and A. D. Karlis, “New maximum power point tracker for PV arrays using fuzzy controller in close cooperation with fuzzy cognitive net-work,” IEEE Trans. Energy Conv., Vol. 21, pp. 793–803, 2006.
 Y. T. Hsiao and C. H. Chen, “Maximum power tracking for photovoltaic power system,” in Proc. Industry Application Conference, pp. 1035– 1040, 2002.
 G. J. Yu, Y. S. Jung, J. Y. Choi, I. Choy, J. H. Song, and G. S. Kim, “A novel two-mode MPPT control algorithm based on comparative study of existing algorithms,” in Proc. Photovoltaic Specialists Conference, pp. 1531–1534, 2002.
 M. Park and I. K. Yu, “A study on optimal voltage for MPPT obtained by surface temperature of solar cell,” in Proc. IECON, pp. 2040–2045, 2004.
 T. Takashima, T. Tanaka, M. Amano, and Y. Ando, “Maximum output control of photovoltaic (PV) array,” in Proc. 35th Intersociety Energy Convers. Eng. Conf. Ex-hib., pp. 380–383, 2000.
 P. C. M. de Carvalho, R. S. T. Pontes, D. S. Oliveira, D. B. Riffel, R. G. V. de Oliveira, and S. B. Mesquita, “Control method of a photovoltaic powered reverse osmosis plant without batteries based on maximum power point track-ing,” in Proc. IEEE/PES Transmiss. Distrib. Conf. Expo.: Latin America, pp. 137–142, 2004.
 Roberto Farada and Sonia Leve “Energy Comparison of MPPT techniques for PV Systems”, WSEA Trans. On Power Systems, pp. 446- 455, 2008..
 Trishan Esram, and Patrick L. Chapman, “Comparison of Photovoltaic Array Maximum Power Point Tracking Techniques”, IEEE Trans. On Energy Conversion, VOL. 22, NO. 2, pp. 439-449, 2007.
 Marcello Gradella Villallava, Jonas Rafael Gazali, and Ernsto ruppert Filho, “Comprehensive Approach to Modeling and Simulation of Photovoltaic Array”, IEEE Tran. Of Power Electronics, Vol. 24, pp. 1198-1208., 2009.
 M.G. Villalva, J.R. Gazoli, E. Ruppert “Modeling and Circuit Based Simulation of Photovoltaic Arrays”, Journal of Power Electronics, Vol.14, pp, 34-45.
 C.S. Chin, P. Neelakantan, H.P. Yoong, K.T.K. Teo,“Optimization of Fuzzy based MPPT in PV System for Rapidly Changing Solar Irradiance”, Transaction on Solar Energy and Planning, 2011.
 Dr. P. Rathika and Dr. D. Devaraj “ Fuzzy Logic Based Approach for Adaptive Hysteresis Band and Dc Voltage Control in Shunt Active Filter”, Vol. 2, No. 3, June, pp.1793-8163, 2010.
 S .Karthika, Dr.P.Rathika and Dr D. Devaraj , “Fuzzy Logic Based Maximum Power Point Tracking for Photovoltaic Systems”, JCSMR pp.18-22, 2013.