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.

• S. Karthika
• K. Velayutham
• P. Rathika
• D. Devaraj

• MPPT
• DC-DC Converter
• Fuzzy logic controller
• Photovoltaic (PV) system.

[1] 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.
[2] 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.
[3] 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.
[4] 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..
[5] ] 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.
[6] 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.
[7] 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.
[8] C. Hua and C. Shen, “Comparative study of peak power tracking
techniques for solar storage system,” in Proc. APEC, pp. 679–685, 1998.
[9] 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.
[10] 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.
[11] 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..
[12] 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.
[13] Y. T. Hsiao and C. H. Chen, “Maximum power tracking for photovoltaic
power system,” in Proc. Industry Application Conference, pp. 1035–
1040, 2002.
[14] 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.
[15] 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.
[16] 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.
[17] 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.
[18] Roberto Farada and Sonia Leve “Energy Comparison of MPPT
techniques for PV Systems”, WSEA Trans. On Power Systems, pp. 446-
455, 2008..
[19] 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.
[20] 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.
[21] 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.
[22] 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.
[23] 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.
[24] S .Karthika, Dr.P.Rathika and Dr D. Devaraj , “Fuzzy Logic Based
Maximum Power Point Tracking for Photovoltaic Systems”, JCSMR
pp.18-22, 2013.