Home Energy Management for a AC/DC Microgrid Using Model Predictive Control

This paper presents a Model Predictive Control (MPC) approach to Home Energy Management (HEM) of microgrid operating with AC/DC bus. The proposed optimization model consists of renewable energy sources, two different storage devices and loads commonly found in the household of Brazilian consumers. In particular, we present a formulation that includes the cost of the electricity, the aging of the components, and the operational constraints. The MPC techniques allow to satisfy user demand, maximizing the economical benefit of the microgrid, minimizing the electricity purchased of the power grid, as well as extend the lifespan of each storage device, fulfilling the different system constraints contributing to the Demand Side Management (DSM). In order to verify the dynamics of the proposed model, results of numerical simulations will be presented.