Paper Key : IRJ************110
Author: Marisekar B,Prasanna R,Sanjay Raghul J,Jaya Pradeesh T
Date Published: 09 Apr 2024
Abstract
The project's goal is to its abundance and sustainability, solar power has become increasingly popular in the field of renewable energy systems. Optimizing solar energy conversion and use efficiency is still a significant task, though. This project uses an Artificial Neural Network (ANN) controller in conjunction with a Luo Boost Converter to create a Solar Charge Controlling Based Efficient Load Distributing System, which is a novel way to improve the efficiency of solar energy use. Photovoltaic (PV) panels are used in the system's first stages to collect solar energy, which is then stored in a battery bank. An ANN controller is used to operate a Luo Boost Converter in order to guarantee optimal distribution. This converter performs the vital task of effectively transforming the battery's stored DC voltage into a steady, increased output voltage that may power AC loads upon inversion. When an ANN controller is used, the system's responsiveness and adaptability to changing load demands and environmental circumstances are improved, allowing for real-time modifications for optimal efficiency. The load distribution process is optimized by precise control made possible by the ANN, guaranteeing that the available solar energy is used efficiently and without needless waste.
DOI LINK : 10.56726/IRJMETS52345 https://www.doi.org/10.56726/IRJMETS52345