| dc.contributor.author | Horrillo Quintero, Pablo | |
| dc.contributor.author | García Triviño, Pablo | |
| dc.contributor.author | Hosseini, Ehsan | |
| dc.contributor.author | García Vázquez, Carlos Andrés | |
| dc.contributor.author | Sánchez Sainz, Higinio | |
| dc.contributor.author | Fernández Ramírez, Luis Miguel | |
| dc.contributor.other | Ingeniería Eléctrica | es_ES |
| dc.date.accessioned | 2026-04-24T06:50:21Z | |
| dc.date.available | 2026-04-24T06:50:21Z | |
| dc.date.issued | 2025 | |
| dc.identifier.issn | 1939-9367 | |
| dc.identifier.issn | 0093-9994 | |
| dc.identifier.uri | http://hdl.handle.net/10498/39390 | |
| dc.description.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%. | es_ES |
| dc.format | application/pdf | es_ES |
| dc.language.iso | eng | es_ES |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | es_ES |
| dc.rights | Atribución 4.0 Internacional | * |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
| dc.source | IEEE Transactions on Industry Applications - 2025 | es_ES |
| dc.subject | Multi-energy microgrid | es_ES |
| dc.subject | electricity | es_ES |
| dc.subject | hydrogen | es_ES |
| dc.subject | thermal | es_ES |
| dc.subject | coordinated operation | es_ES |
| dc.title | Coordinated Operation of Electricity, Hydrogen, and Thermal Systems in a Residential Multi-Energy Microgrid | es_ES |
| dc.type | journal article | es_ES |
| dc.rights.accessRights | open access | es_ES |
| dc.identifier.doi | 10.1109/TIA.2025.3618782 | |
| dc.relation.projectID | info:eu-repo/grantAgreement/ERDF//PID2021-123633OB-C32 | es_ES |
| dc.relation.projectID | info:eu-repo/grantAgreement/ERDF//MCIN/AEI/10.13039/501100011033/FEDER | es_ES |
| dc.type.hasVersion | VoR | es_ES |