Introduction to New Hybrid Approach in Sustainable PV MPPT Architecture

Immense-scale solar photovoltaic (PVC) systems are susceptible to partial shadowing circumstances (PSCS). By generating repetitive peaks in the power-voltage (P-V) feature, PSCS has potential to decrease the performance of the Photovoltaic system. To use the PV system as its utmost possible limit, it should be operated at global maximum power point (GMPP). In this work, a hybrid methodology depending upon the Cuckoo Search algorithm (CUSA) and Flying Squirrel Search Optimization (FSSO) is developed for tracking of GMPP. In order to take advantage of both methods' strengths, this research suggests a novel MPPT algorithm that combines the CUSA algorithm and FSSO. The suggested approach is tested with various partial shading instances and the uniform irradiance condition in order to validate it. Comparing the simulation and experimental findings to the original CUSA method and FSSO algorithm, there is a discernible performance gain.