Residential Power Scheduling under Day-Ahead Market (DAM) Pricing Based On HEMS

The proper utilization of power generation from PV in conjunction with the battery can contribute towards the prevention of a global temperature rise of more than 1.5 degrees. With the home energy management system (HEMS) deployment, residents can schedule their power usage with optimal coordination of PV and battery. This paper introduces the architecture of the HEMS using PV, batteries, and main grid electricity. This work proposed Day-Ahead-Market-Pricing (DAMP) for profitable scheduling to reduce overall electricity costs. The home load is categorized into two types: Must Run Home Load and Shiftable Home Load. The complete simulation is performed using MATLAB2022a/Simulink.