Lifecycle-based Optimization of Home Energy Management: PV–Battery–EV Scheduling using Giant Trevally Optimization

In particular, the efficient home energy management systems have become essential as renewable energy technologies such as PV systems, batteries, and EVs utilize in the residential ambiance. Previous techniques in Home Energy Management Systems (HEMS) lacked efficiency in handling dynamic energy scenarios, optimizing battery control, and achieving a cost-effective yet sustainable approach. This study proposes cost-efficient solutions that enhance the durability of Energy Storage Systems (ESS) while promoting environmentally sustainable energy consumption. To make the PV, batteries, EVs and the grid interactive, this study decomposes the full HEMS as elucidated below. As such, the suggested methodology means the detailed system characterization and mathematical modeling of PVs, batteries, and EVs, further, along with the effective approaches to the optimal flow and scheduling of appliances. GTO is used in the study to ensure that critical factors such as battery capacity and DoD are fine tuned to justify the life, viability, and affordability of the system. The proposed system incurs a cost of 3.899 EUR, experiences an energy loss of 0.423 kWh, and extends battery longevity to 7.940 years.