Energy Management System for Renewable Distributed Generation and Energy Storage

In recent years, a massive number of inverter-based distributed generations (DGs) and battery-based storage devices have been penetrated in domestic residential areas, and real-time pricing (RTP) schemes of electricity are adopted in many nations. In such context, the residents are able to deploy the domestic energy management system to provide an efficient energy dispatch in advance (e.g. one-day ahead) through appropriate control and scheduling of power loads and energy storage units based on the predicted system operational states. This chapter presents an algorithmic solution to investigate the potential economic benefits of improving matching between domestic DG generation and power loads with explicitly consideration of the real-time pricing information. The proposed energy dispatch solution is evaluated and validated using a set of operational scenarios through numerical simulations. The obtained experimental result clearly demonstrates that the domestic energy can be appropriately controlled to meet the required domestic demand with significantly improved resource utilization efficiency and reduced purchase cost. The robustness of the solution under inaccurate prediction information is also validated considering the presence of inaccurate prediction of RTP and DG generation.