A novel hybrid global maximum power point tracking method based on partial shading mitigation for grid connected photovoltaic systems

Abstract

Maximizing the power output from photovoltaic (PV) panels is a critical concern in PV system operation, particularly in partial shading conditions (PSCs). While the global maximum power point (GMPP) might not be captured by conventional methods. Consequently, several optimization techniques have been presented for following the GMPP. On the other hand, partial shading cannot be distinguished from uniform shading using optimization techniques. A new hybrid MPPT approach is presented in this paper to overcome this limitation and prevent an unneeded search area of the entire P-V curve via the USCs. If the system is subjected to uniform shading conditions (USCs), an ANFIS technique is suggested for finding the best power point while the irradiance sensor is eliminated in order to reduce costs. Moreover, a modified hybrid levy rat swarm optimization technique (LRSO) has been applied to mitigate the partial shading in order to enhance the convergence speed. Using dSPACE and Micro Lab Box with a sampling time of 0.05 s, the proposed strategy was implemented experimentally. The results illustrated that the suggested strategy had been successfully applied, with uniform and PSCs having a high efficiency of 99.7 % and an average tracking time of 0.34 s. The effectiveness of the suggested approach has been evaluated by contrasting it with the most significant approaches in this domain. Additionally, the suggested approach has been verified with a grid connected to demonstrate the tracking ability under different shading patterns with lower oscillation and fast tracking efficiency.