Optimization of Multi-Energy Resources in a Hybrid Prosumer Building: a Smart EMS Approach

The present paper proposes an Energy Management System (EMS), based on a Mixed-Integer Linear Programming (MILP) optimization problem, aiming to optimally manage a hybrid prosumer building, located in the north of Italy. The facility is connected to the Low-Voltage (LV) distribution network by a single Point of Delivery (POD) and is equipped with Photovoltaic (PV) and Wind Turbine (WT) units, a Combined Heat and Power (CHP) system, a heat pump, smart and manageable loads, and a charging station for an Electric Vehicle (EV) enabled to provide Vehicle-to-Everything (V2X) service. The objective function of the EMS considers the net operating costs of the building related to the power exchange with the network, the curtailment costs associated with the production from PV and WT units and the fuel costs for the CHP unit. The paper describes the mathematical model of the EMS and, in the results section, a sensitivity analysis on the prices for selling energy to the network has been conducted, showing a 6.6% decrease in the overall costs of the facility and a 51% reduction in the energy bought from the network.