Design and Analysis of an AI enabled Zero Voltage Switching Boost Converter for Standalone Photovoltaic Systems

Abstract

In photovoltaic systems, the reliability of power conversion depends greatly on intelligent control of converter operation. This paper presents an AI-assisted Zero Voltage Switching (ZVS) step up or boost converter with an auxiliary resonant circuit designed for photovoltaic systems. Artificial Intelligence algorithms integrated with the ATMEGA32 microcontroller enable adaptive switching, predictive control, and dynamic optimization of converter parameters under varying solar and load conditions. This intelligent approach minimizes switching losses, improves transient response, and enhances overall system efficiency. Simulation and validation using Multisim 10 demonstrate superior performance and adaptability compared to conventional converters.