TITLE:
Fuzzy P & O Maximum Power Point Tracking Algorithm for a Stand-Alone Photovoltaic System Feeding Hybrid Loads
AUTHORS:
Sahar M. Sadek, Faten H. Fahmy, Abd El-Shafy A. Nafeh, Mohamed Abu El-Magd
KEYWORDS:
PV; MPPT; Fuzzy Controller; DC & AC Loads
JOURNAL NAME:
Smart Grid and Renewable Energy,
Vol.5 No.2,
February
11,
2014
ABSTRACT: 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.