Power systems all over the world are going through one of their biggest changes in history. Electricity grids that were once simple, one-way delivery networks are now turning into smart, two-way systems that can sense problems, respond to changes, and use clean energy more efficiently. At the heart of this change is artificial intelligence (AI). This paper looks at how AI is helping in three important areas: making power grids smarter and safer, improving battery systems in electric trains, and helping solar and wind energy work better with the grid. We looked at three research studies and pulled together their key findings in plain language. What we found is that AI tools like machine learning, neural networks, and smart optimization methods are solving real problems — from predicting energy demand and catching faults early, to keeping batteries healthy and protecting grids from hackers. We also discuss newer ideas like digital twins, blockchain energy trading, and vehicle-to-grid systems that let electric vehicles share power with the grid. Some challenges still exist — mainly around data quality, making AI decisions easier to understand, and connecting new systems with old grid hardware. But the overall direction is clear: AI-powered grids are not just possible, they are already happening, and they will be key to meeting clean energy goals worldwide

Keywords— Artificial Intelligence, Smart Grid, Renewable Energy, Battery Storage, Machine Learning, Digital Twin, Electric Vehicles, Demand Management, Cybersecurity, Clean Energy.