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Intelligent Maximum Power Point Tracking Using Fuzzy Logic for Solar Photovoltaic Systems Under Non-Uniform Irradiation Conditions

Authors: P. Selvam, S. Senthil Kumar


Maximum Power Point Tracking (MPPT) has played a vital role to enhance the efficiency of solar photovoltaic (PV) power generation under varying atmospheric temperature and solar irradiation. However, it is hard to track the maximum power point using conventional linear controllers due to the natural inheritance of nonlinear I-V and P-V characteristics of solar PV systems. Fuzzy Logic Controller (FLC) is suitable for nonlinear system control applications and eliminating oscillations, circuit complexities present in the conventional perturb and observation and incremental conductance methods respectively. Hence, in this paper, FLC is proposed for tracking exact MPPT of solar PV power generation system under varying solar irradiation conditions. The effectiveness of the proposed FLC-based MPPT controller is validated through simulation and analysis using MATLAB/Simulink.

Keywords: Photovoltaic, Fuzzy Logic Controller, maximum power point tracking

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[1] H. S. Rauschenbach, (1980). Solar Cell Array Design Handbook: The Principles and Technology of Photovoltaic Energy Conversion. New York: Van Nostrand.
[2] M. A. Green, Solar Cell (1982). Operating Principles, Technology and system Applications. Englewood Cliffs, NJ: Prentice-Hall.
[3] M. Buresch, (1983) Photovoltaic Energy Systems Design and Installation. New York: McGraw-Hill.
[4] K. E. Yeager, (1992). “Electric vehicles and solar power: Enhancing the advantages of electricity,” IEEE Power Eng. Rev., vol. 12.
[5] T. Hiyama, S. Kouzuma, and T. Iimakudo, (1995). “Identification of optimal operating point of PV modules using neural network for real time maximum power tracking control,” IEEE Trans. Energy Conversion, vol. 10, pp. 360–367.
[6] T. Hiyama and K. Kitabayashi, (1997). “Neural network based estimation of maximum power generation,” IEEE Trans. Energy Conversion, vol. 12, pp. 241–247.
[7] Salam, Z., Ahmed, J., & Merugu, B. S. (2013). The application of soft computing methods for MPPT of PV system: A technological and status review. Applied Energy, 107, 135–148.
[8] Tsang, K. M., & Chan, W. L. (2015). Maximum power point tracking for PV systems under partial shading conditions using current sweeping. Energy Conversion and Management, 93, 249–258.
[9] Ahmed, J., & Salam, Z. (2015). An improved perturb and observe (P&O) maximum power point tracking (MPPT) algorithm for higher efficiency. Applied Energy, 150, 97–108.
[10] Sivakumar, P., Abdul Kader, A., Kaliavaradhan, Y., & Arutchelvi, M. (2015). Analysis and enhancement of PV efficiency with incremental conductance MPPT technique under non-linear loading conditions. Renewable Energy, 81, 543–550.
[11] Ishaque, K., Salam, Z., & Lauss, G. (2014). The performance of perturb and observe and incremental conductance maximum power point tracking method under dynamic weather conditions. Applied Energy, 119, 228–236
[12] I. H. Atlas and A. M. Sharaf, (1996) "A novel on-line MPP search algorithm for PV arrays," IEEE Trans. Energy Conversion, vol,11, pp.748-754.
[13] Tey, K. S., & Mekhilef, S. (2014). Modified incremental conductance MPPT algorithm to mitigate inaccurate responses under fast-changing solar irradiation level. Solar Energy, 101, 333–342.
[14] Hong, C.-M., & Chen, C.-H. (2014). Intelligent control of a grid-connected wind-photovoltaic hybrid power systems. International Journal of Electrical Power & Energy Systems, 55, 554–561.
[15] W. Kim and W. Choi, (2010). “A novel parameter extraction method for the one diode solar cell model,” Solar Energy, vol. 84, no. 6, pp. 1008-1019.
[16] W. Herrmann and W. Wiesner, (1996) “Current-voltage translation procedure for PV generators in German 1000 roofs-programme,” presented at the EUROSUN Conf., Freiburg, Germany.
[17] Muhammad H. Rashid (2001). Power Electronics Handbook Academic Press, page 212-216.
[18] Emmvee Photovoltaics GmbH, Berlin, Germany, data sheet.