High Gain KY Converter For Grid Tied Clean Energy PV System Using Cascaded Neuro Fuzzy Logic MPPT Algorithm

Power systems worldwide are looking into new ways to generate electricity as a result of the depletion of fossil fuel-based energy supplies worldwide. The major emphasis of attention is on clean and renewable energy resources (RES), of which wind and solar are two of the best. Although it is sporadic, solar energy is abundant in tropical regions. Therefore, connecting it to the grid is the best way to use it as a dependable power source. If it utilized as a stand-alone power source, measures to address its dispatch ability problems (resulting from its sporadic availability) must be taken to ensure that it continuously provides enough power to its linked loads. The suggested system is said to be interactive since it can function in both islanded and grid-connected modes. Additionally, load management is provided when operating in island mode under low illumination conditions. The proposal outlines a two-stage solar PV system, the first of which uses a KY converter (shows voltage gain 1:12) to maximize power extraction and function as a voltage booster. Cascaded ANFIS controller is employed to tune the parameters of the converter. A two-leg inverter that feeds the available electricity into the grid operates in the second stage. This work is developed using Matlab 2021a simulation.