Multi-energy Microgrid Scheduling: A multi-vector demonstrator case study

Abstract

The aim of this paper, is to provide a day-ahead optimal scheduling scheme for a multi-energy microgrid (MEM) which represents a real-world multi-vector demonstrator. The optimal scheduling scheme is tested against data from the multi-vector demonstrator in five different scenarios of the day-ahead demand and market prices. The assets of the multi-vector demonstrator include: a combined heat and power (CHP) plant, a central gas boiler, an energy storage system (ESS), a solar PV, an electric heater, and an electric vehicle (EV) filling station. The optimal scheduling scheme has been formed in order to capture the energy flows of the MEM. The problem is mathematically formulated as a mixed integer linear programming problem. A numerical case study verifies the effectiveness of the proposed scheduling scheme.