An Intelligent Hybrid Renewable Energy System with AI-Based Energy Management for Sustainable Smart Grid Applications
TL;DR
Simulation-based performance evaluation demonstrates that the proposed HRES achieves improved renewable energy utilization, enhanced power quality, reduced energy losses, and increased system reliability compared with conventional standalone renewable energy systems.
Abstract
Hybrid Renewable Energy Systems (HRES) have emerged as an effective solution for addressing the increasing global demand for clean, reliable, and sustainable energy while reducing dependence on fossil fuels. By integrating multiple renewable energy sources such as solar photovoltaic (PV), wind turbines, biomass, and small hydropower with energy storage systems and intelligent energy management strategies, HRES can overcome the intermittent nature of individual renewable resources and ensure continuous power supply. This paper presents a comprehensive hybrid renewable energy framework that combines renewable generation, battery energy storage, smart power converters, and IoT-enabled monitoring for efficient energy utilization in residential, commercial, and remote applications. The proposed system employs intelligent control algorithms to optimize power generation, storage scheduling, and load distribution under varying environmental and load conditions. Real-time monitoring and predictive energy management improve system reliability, reduce operational costs, and enhance grid stability while minimizing carbon emissions. The integration of artificial intelligence and optimization techniques further enables adaptive decision-making, fault detection, and energy forecasting, leading to higher overall system efficiency and resilience. Simulation-based performance evaluation demonstrates that the proposed HRES achieves improved renewable energy utilization, enhanced power quality, reduced energy losses, and increased system reliability compared with conventional standalone renewable energy systems. The proposed architecture offers a scalable, cost-effective, and environmentally sustainable solution for future smart grids and decentralized energy systems. Keywords— Hybrid Renewable Energy System (HRES), Solar Photovoltaic, Wind Energy, Battery Energy Storage System (BESS), Smart Grid, Energy Management System (EMS), Internet of Things (IoT), Artificial Intelligence (AI), Renewable Energy Integration, Power Quality, Energy Optimization, Sustainable Energy.