NTERFLEX – SIMRIS – TECHNICAL MANAGEMENT OF A GRID-CONNECTED MICROGRID THAT CAN RUN IN AN ISLANDED MODE WITH100% RENEWABLE GENERATION

This paper demonstrates a model predictive control (MPC) approach for microgrids with a significant proportion of renewable energy sources (RES). Forecasts are derived using recurrent neural networks and are included within the MPC. The demonstration is based on E.ON’s microgrid site in Simris, Sweden. E.ON plans to deploy a microgrid that can run with 100% renewable generation. Distributed household PV and battery systems are exploited for the required demand flexibility. A central battery system is used as grid forming unit to balance the microgrid. Simulation results show the effectiveness of the proposed approach