Integrating Device-Level Flexibility in Home Energy Management Systems for Prosumers

This is the authors' abstract. We don't add key points for this paper.

The increasing integration of renewable energy sources (RES) introduces significant uncertainty in power supply, posing challenges to the stability of energy distribution systems. The demand for efficient energy utilization in smart grids has motivated many end-users to adopt home energy management system (HEMS), while power utilities seek to optimize grid operations. This study investigates the flexibility of devices within households to help prosumers realize the most flexible asset within their premises. By modeling and managing these flexibilities, we provide extensive predictive modeling and scheduling solutions to help the distribution system. A case study involving ten prosumers with flexible devices connected to a top-pole transformer is presented. Our findings demonstrate measurable time and energy flexibility, enabling the prediction of load and flexibility at the device level. This work contributes to the efficient and cost-effective integration of renewable energy sources into the power grid, promoting sustainable energy solutions.