Performance Improvement in SEPIC Converter Using Modified Seagull Optimization Techniques

This research provides a novel technique for enhancing the performance of a Single-Ended Primary Inductor Converter (SEPIC) by utilizing Modified Seagull Optimization Algorithm (MSOA) techniques. The SEPIC converter is widely employed in power electronics for its versatility in voltage regulation. However, challenges related to efficiency and optimization persist. To solve these problems, a modified version of the Seagull Optimization Algorithm is presented in this work. The proposed technique is employed to optimize the control parameters of the SEPIC converter, aiming to achieve improved efficiency and reduced losses. The results of the simulation show how well the Modified Seagull Optimization Algorithm performs the converter under different operating situations. The findings suggest that the proposed method holds promise for practical applications in power electronics, contributing to the advancement of energy-efficient converter designs. Based on a new methodology, the ideal sampling period was identified for the controller to achieve optimal performance. The main research tool is a software suite called MATLAB/Simulink. The main results show that the modified SOA and its intended parameters best meet the requirements of the MPPT controller for PV systems.