Coordinated Operation of Multi-Energy Microgrids Based on Fuzzy-Logic Control

Abstract

The main approach on multi-energy microgrid (MEMG) study have been focused on optimization problems, without considering the dynamic control and real-time energy dispatch. This paper presents a new fuzzy-logic control method for a MEMG consisting of electricity, hydrogen, heating/cooling vectors. A PV power plant is the main renewable energy source selected. The thermal sources comprise an electric boiler and an absorption chiller, supplied by renewable energy. Furthermore, a gas boiler is considered to control the hot water thermal circuit. A hybrid energy storage system (ESS) is incorporated, encompassing a battery and a hydrogen system. The fuzzy-logic based energy management system (FL-EMS) is presented to dynamically perform a coordinated operation between the different energy vectors. Fuzzy logic algorithm is based on the PV energy and state-of-energy (SOE) of the ESS to dynamically assess the temperature control of the thermal sources. To assess the control efficacy and FL-EMS, a simulation lasting 4.5 hours was conducted under diverse operational conditions involving solar irradiance, heating, cooling, and electrical demand. The funding shows the efficacy of the FL-EMS in reducing dependency on the local grid, thus demonstrating the appropriateness of this approach for MEMGs.