Modeling, Simulation, and Experimental Validation of a Novel MPPT for Hybrid Renewable Sources Integrated with UPQC: An Application of Jellyfish Search Optimizer

Changes in climatic circumstances, as well intermittency, which has a significant impact on the overall energy system output from renewable sources (RESs), require development of control strategies for extracting maximum power available RESs. To accomplish this task, several techniques have been developed. An efficient point tracking (MPPT) technique should be utilized to guarantee that both wind-generation and PV-generation systems provide their full advantages. In paper, new MPPT approach with jellyfish search optimization (JSO) is developed; addition, unified power-quality conditioner (UPQC) enhance performance microgrid (MG) solve issues sensitive load. The MG, includes photovoltaic (PV), wind turbine, fuel cell battery, examined modeled uniform nonuniform speed solar irradiance. A comparison between developed algorithm different algorithms presented. Additionally, four case studies are carried out verify effectiveness introduced UPQC enhancing problems. research outcome shows high when assessed additional algorithms. MATLAB/Simulink software simulation wind, PV, FC systems. However, experiment validation tests given under same condition PV irradiation validate results. experimental executed by utilizing module model, threefold, 23 V/2A CO3208-1A altitude emulator CO3208-1B board, results compared