Energy optimization algorithms integrated in residential microgrid with PV, storage and EVS

The development of microgrids integrated into residential buildings is a crucial solution for the deployment of renewable energy sources (RES) even on a small scale. In this perspective it is necessary to develop advanced and intelligent models of energy flow management within microgrids that benefit both users and the power system. This paper explores typical models of residential microgrids. Initially, a simpler model consisting only of a photovoltaic (PV) system and household loads is proposed, and then progressively to a more comprehensive model that also includes battery energy storage systems (BESSs) and electric vehicles (EVs) with vehicle-to-grid (V2G) capabilities. For each of the proposed models, an ad hoc algorithm was developed to manage local resources, with the goals of maximizing self-consumption and self-sufficiency while affecting the grid as little as possible. These algorithms, validated through simulations of real scenarios, can contribute to the development of methods and strategies for managing domestic energy resources.