Advanced Energy Management for Homes: Optimized Control of PV, Battery, and EV Systems

Integrating renewable energy sources (RES) is essential for sustainable energy management systems (EMSs) in residential areas. However, adopting traditional EMSs remains constrained due to inefficiencies and limited adaptability to varying energy demands. This study presents a Solar PV/battery/EV-based EMS for home load that enhances energy efficiency, adaptability, and cost-effectiveness. Photovoltaic panels convert solar energy into DC power, and the system stores it in a battery bank. An intelligent controller optimizes energy distribution by prioritizing essential loads and reducing reliance on grid power. The proposed advanced EMS model, developed using MATLAB Simulink optimization, demonstrates an energy efficiency ranging from 85 % to 90 %, resulting in expected energy savings of around 80 % over traditional Home Energy Management System (HEMS) and improved user convenience by automating energy distribution. The model assumes it can sustainably manage a standard residential load of around 10 kWh, ensuring an uninterrupted power supply during peak hours and minimizing grid dependency.