Design and Analysis of DC-DC Converters with MPPT Controller based on Salp Swarm Algorithm for a Grid-Connected PV System

This manuscript presents a methodology to develop a state-space averaging approach for power converters to improve the analytic descriptions of the buck converter and boost converter based on the effect of parasitic elements. The study reveals descriptions for output voltage and efficiency for the proposed converters. Theoretical models are assisted by an experimental work to stand on the precision of the suggested methodology. The suggested boost converter is then used along with the new Salp Swarm Algorithm as an MPPT controller for grid-connected PV system. In order to validate the proposed methodology, a comprehensive comparison is accomplished utilizing Grey Wolf Optimization algorithm and the Moth Flame Algorithm. The suggested controller is tested under different irradiance conditions. The results indicate that efficiency and robustness of the controller over other modern techniques.