AI Driven Adaptive Power Management for Hybrid Power Plants with Battery Energy Storage System

Abstract

This project presents an intelligent power management system for a hybrid solar wind energy plant integrated with a Battery Energy Storage System BESS Renewable energy generated from solar panels and wind turbines is used to charge the battery while a Battery Management System BMS continuously supervises charging conditions To ensure battery safety the charging process is automatically disconnected during overcharging or abnormal operating conditions The stored energy is supplied to connected electrical loads through an AI based adaptive controller that monitors voltage current and load behaviour in real time Whenever unsafe conditions such as overload abnormal current flow or voltage fluctuations are detected the controller isolates the load and activates a buzzer alert to prevent system damage and improve operational safety The proposed system applies Artificial Intelligence techniques for efficient energy coordination between renewable sources battery storage and load demand By analysing generation patterns battery state of charge and consumption requirements the controller dynamically manages charging and discharging operations to improve energy utilization and reduce power instability The proposed approach offers a cost effective and sustainable solution for smart renewable energy systems and future hybrid power plant applications.