Fuzzy P & O Maximum Power Point Tracking Algorithm for a Stand-Alone Photovoltaic System Feeding Hybrid Loads


The photovoltaic (PV) generator exhibits a nonlinear current-voltage (I-V) characteristic that its maximum power point (MPP) varies with solar insolation. In this paper, a maximum power point tracking (MPPT) method using fuzzy logic control (FLC) is presented. This method is based on the concept of perturbation and observation (P & O) algorithm to track the MPP of a stand-alone PV system. The controller is used to maximize the power generated by the PV array and the simulation of the system is implemented in MATLAB. Simulation results are compared with those obtained by the conventional P & O controller. Results show that the FLC gives better and more reliable control for the stand-alone PV system feeding hybrid loads.

Share and Cite:

S. Sadek, F. Fahmy, A. Nafeh and M. El-Magd, "Fuzzy P & O Maximum Power Point Tracking Algorithm for a Stand-Alone Photovoltaic System Feeding Hybrid Loads," Smart Grid and Renewable Energy, Vol. 5 No. 2, 2014, pp. 19-30. doi: 10.4236/sgre.2014.52003.

Conflicts of Interest

The authors declare no conflicts of interest.


[1] H. E. A. Ibrahim and M. Ibrahim, “Comparison between Fuzzy and P&O Control for MPPT for Photovoltaic System Using Boost Converter,” Journal of Energy Technologies and Policy, Vol. 2, No. 6, 2012, p. 1.
[2] X. Liu and L. A. C. Lopes, “An Improved Perturbation and Observation Maximum Power Point Tracking Algorithm for PV Arrays,” 35th Annual IEEE Power Electronics Specialist’s Conference, Aachen, 20-25 June 2004, pp. 2005-2010.
[3] 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,” 28th IEE Photovoltaic Specialist Conference, Anchorage, 2000, pp. 1699-1702.
[4] A. S. Mohammad, et al., “Theoretical and Experimental Analyses of Photovoltaic Systems with Voltageand Current-Based Maximum Power-Point Tracking,” IEEE Transactions on Energy Conversion, Vol. 17, No. 4, 2002, pp. 514-521. http://dx.doi.org/10.1109/TEC.2002.805205
[5] V. Salas, et al., “Review of the Maximum Power Point Tracking Algorithms for Stand-Alone Photovoltaic Systems,” Solar Energy Materials & Solar Cells, Vol. 90, No. 11, 2006, pp. 1555-1578.
[6] C. S. Chin, P. Neelakantan, H. P. Yoong and K. T. K. Teo, “Control and Optimization of Fuzzy Based Maximum Power Point Racking in Solar Photovoltaic System,” Global Conference on Power Control and Optimization, Kuching, 2-4 December 2010.
[7] J. Y. Li and H. H. Wang, “A Novel Stand-Alone PV Generation System Based on Variable Step Size INC MPPT and SVPWM Control,” IEEE 6th International of Power Electronics and Motion Control Conference, Wuhan, 17-20 May 2009, pp. 2155-2160.
[8] G. Walke, “Evaluation MPPT Converter Topologies Using A MATLAB Photovoltaic Model,” Journal of Electrical & Electronic Engineering Australia, Vol. 21, No. 1, 2001, pp. 49-56.
[9] L. Castaner and S. Silvestre, “Modeling PV Systems Using Pspice,” John Wiley & Sons Ltd., 2002.
[10] H. Knopf, “Analysis, Simulation and Evaluation of Maximum Power Point Tracking (MPPT) Methods for a Solar Powered Vehicle,” Master Thesis, Portland State University, 1999.
[11] R. Rahmani, M. Seyedmahmoudian, S. Mekhilef and R. Yusof, “Implementation of Fuzzy Logic Maximum Power Point Tracking Controller for Photovoltaic System,” American Journal of Applied Sciences, Vol. 10, No. 3, 2013, pp. 209-218.

Copyright © 2023 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.