Real-Time Experimental Analysis of Hybrid BG-FL Based MPPT Controller for a Photovoltaic System Under Partial Shading Conditions

In most circumstances, traditional MPPT strategies like perturb and observe and incremental conductance fail to track the GMPP and settle at one of the LMPPs, decreasing PV system MPPT effectiveness. This work presents a new MPPT technique based on a hybrid algorithm of bond graph and fuzzy logic, which combines the exploration ability of bond graph with the exploitation capacity of fuzzy logic to develop and improve the strength of both types. Moreover, the developed MPPT technique not only avoids the popular drawbacks of traditional MPPT techniques, but also provides a simple and robust MPPT strategy for efficiently managing partial shading in PV systems, as it only requires two control parameters to achieve high efficiency and its convergence is independent of the initial conditions. The suggested MPPT method's feasibility and effectiveness are evaluated through simulation and experimental verification, and its performance is compared to those of FLC, GWO, and CSA based MPPT methods. When compared to FLC, GWO, and CSA based MPPT techniques, the experimental and simulation results under variable environmental conditions showed that the suggested MPPT method is better in terms of tracking accuracy, convergence speed to GMPP, and efficiency.