Performance Evaluation of SEPIC Converters and H5 Inverters in Renewable Energy Systems using Intelligent Techniques

Abstract

This research explores the performance assessment of renewable energy source-based converters employing intelligent methodologies, with an emphasis on enhancing power quality and optimizing the efficiency of energy conversion systems. The study highlights the reduction of input current Total Harmonic Distortion (THD) and the significant minimization of switching losses. The proposed approach ensures the reliability of the SEPIC converter by addressing high duty cycle challenges, recycling leakage energy, and mitigating switching losses. newlineThe SEPIC converter circuit was simulated under varying torque conditions of a DC motor. Performance analysis was conducted using a PID controller integrated with various filters, as well as controllers based on Fuzzy Logic and Fuzzy Inference Systems (FIS). Comparative results demonstrate power factor improvement at the input stage across different configurations. newlineAdditionally, Experimental validation was performed using an H5 Inverter coupled with a single-phase induction motor under diverse load conditions. The H5 Inverter- Induction motor system was designed, analyzed and simulated with PID and Fuzzy Logic Controllers (FLC). newlineiii newlineThe findings highlight substantial enhancements in power quality at both the input and output ports of the SEPIC converter. Application of advanced methodologies and controllers effectively enhances system performance, offering insights for applications in energy-efficient and reliable power systems. The SEPIC converter achieved a THD of 0.814%, and the H5 inverter improved efficiency to 87-90% with Fuzzy controlquot would strengthen it. newline