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Coordinated Operation of Electricity, Hydrogen, and Thermal Systems in a Residential Multi-Energy Microgrid

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URI: http://hdl.handle.net/10498/39390

DOI: 10.1109/TIA.2025.3618782

ISSN: 1939-9367

ISSN: 0093-9994

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Coordinated_Operation_of_Electricity_Hydrogen_and_Thermal_Systems_in_a_Residential_Multi-Energy_Microgrid.pdf (2.308Mb)
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Author/s
Horrillo Quintero, PabloAuthority UCA; García Triviño, PabloAuthority UCA; Hosseini, EhsanAuthority UCA; García Vázquez, Carlos AndrésAuthority UCA; Sánchez Sainz, HiginioAuthority UCA; Fernández Ramírez, Luis MiguelAuthority UCA
Date
2025
Department
Ingeniería Eléctrica
Source
IEEE Transactions on Industry Applications - 2025
Abstract
Multi-energy microgrids (MEMGs) represent a specific typology of microgrids that combine multiple energy carriers—including electricity, heat, cooling, and hydrogen—within a coordinated framework. Existing studies emphasize energy dispatch optimization and often neglect real-time dynamic control. This paper presents a novel fuzzy-logic control method for the coordinated operation of electricity, hydrogen, and thermal systems in a residential MEMG. A photovoltaic (PV) power plant serves as the primary renewable energy source, while thermal sources include an electric boiler and a chiller. Additionally, a gas boiler is integrated to manage the hot water circuit. A hybrid energy storage system (HESS), comprising a battery and a hydrogen system, enhances operational flexibility. The fuzzy logic-based energy management system (FL-EMS) dynamically coordinates the interaction among energy systems based on renewable energy input and the state of energy (SOE) of the HESS. The proposed method is evaluated through simulations and hardware-in-the-loop (HIL) testing using OPAL-RT4512 and dSPACE MicroLabBox. The results show that the MEMG operates autonomously, with effective storage coordination and accurate thermal regulation. A sensitivity analysis confirms the robustness and adaptability of the FL-EMS, validating its suitability for real-time MEMG control. Compared to a machine-state-based EMS, the FL-EMS reduces the integral time-weighted squared error (ITSE) for temperature control by 49.38%, operating costs by 12.78%, and energy consumption by 15.05%.
Subjects
Multi-energy microgrid; electricity; hydrogen; thermal; coordinated operation
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This work is under a Creative Commons License Atribución 4.0 Internacional

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