Optimized Capacitor-Assisted Extended Boost Z-Source multilevel inverter with SiC-MOSFETs for high-efficiency standalone solar PV systems

This manuscript proposes a hybrid technique for a solar system with a Modified Capacitor-Assisted Extended Boost Z-Source Multilevel Inverter (MLI). The hybrid system is the execution of the Pelican Optimization Algorithm (POA) and the Random Forest Algorithm (RFA), collectively known as the POA-RFA method. The major goals of the proposed approach are to maximise the system’s performance efficiency and minimise its Total Harmonic Distortion (THD). POA is used to optimise the inverter control parameters. The RFA is used to predict variables that are fundamental to the efficient operation and management of the standalone solar photovoltaic system. The proposed model was implemented in the MATLAB working platform. The proposed techniques show better performance than the existing techniques like JAYA-Grey Wolf Optimizer (JGWO), Genetic Algorithm (GA) and Levy Flight-Salp Swarm Algorithm. The proposed technique achieves a lower THD of 0.7% and attains the highest inverter efficiency of 97.1% compared to the existing approaches. The proposed technique also reduces the total converter loss to 30.93 W. These results confirm that the proposed SiC-MOSFET-based MCAEB Z-source MLI improves harmonic suppression, conversion efficiency, and loss performance for standalone solar PV applications.