QoE Metrics for Automatic Tuning of Predictive Control for Renewable Microgrids

Abstract

We propose an automatic tuning approach for MPC schemes acting as energy management systems for renewable microgrids. In particular, we assess how Quality of Experience (QoE) metrics can be used to adapt the predictive control law. The practical interest of the approach is that the local operator can adapt the microgrid coordination with respect to high-level goals, without any re-synthesis step of technical knowledge on MPC. Simulation results of a H2 microgrid are provided to show the advantages of the technique.