An Energy Management System for a Residential Microgrid using Convex Optimization

The field of energy management has recently gained prominence with the proliferation of renewable energies in residential microgrids. Traditionally, decision-making for energy management operations was performed by utilities. In the residential case, however, this process must be self-handled. This work presents an energy management system (EMS) for a residential microgrid using convex optimization to achieve optimal decisions. The results obtained show that the proposed model is three times faster than an EMS based on mixed-integer programming.