RT Journal Article
T1 Multi-Objective Fuzzy Logic-Based Energy Management System for Microgrids with Battery and Hydrogen Energy Storage System
A1 Vivas Fernández, Francisco José
A1 Segura Manzano, Francisca
A1 Andújar Márquez, José Manuel
A1 Palacio, Adriana
AB This paper proposes a fuzzy logic-based energy management system (EMS) for microgridswith a combined battery and hydrogen energy storage system (ESS), which ensures the power balanceaccording to the load demand at the time that it takes into account the improvement of the microgridperformance from a technical and economic point of view. As is known, renewable energy-basedmicrogrids are receiving increasing interest in the research community, since they play a key role in thechallenge of designing the next energy transition model. The integration of ESSs allows the absorptionof the energy surplus in the microgrid to ensure power supply if the renewable resource is insufficientand the microgrid is isolated. If the microgrid can be connected to the main power grid, the freedomdegrees increase and this allows, among other things, diminishment of the ESS size. Planning theoperation of renewable sources-based microgrids requires both an efficient dispatching managementbetween the available and the demanded energy and a reliable forecasting tool. The developedEMS is based on a fuzzy logic controller (FLC), which presents different advantages regardingother controllers: It is not necessary to know the model of the plant, and the linguistic rules thatmake up its inference engine are easily interpretable. These rules can incorporate expert knowledge,which simplifies the microgrid management, generally complex. The developed EMS has beensubjected to a stress test that has demonstrated its excellent behavior. For that, a residential-typeprofile in an actual microgrid has been used. The developed fuzzy logic-based EMS, in addition toresponding to the required load demand, can meet both technical (to prolong the devices’ lifespan)and economic (seeking the highest profitability and efficiency) established criteria, which can beintroduced by the expert depending on the microgrid characteristic and profile demand to accomplish.
PB MDPI
SN 2079-9292
YR 2020
FD 2020-06
LK http://hdl.handle.net/10272/18918
UL http://hdl.handle.net/10272/18918
LA eng
NO Vivas Fernández, F. J., Segura Manzano, F., Andújar Márquez, J. M. ... Palacio, A. (2020). Multi-Objective Fuzzy Logic-Based Energy Management System for Microgrids with Battery and Hydrogen Energy Storage System. Electronics, 9(7), 1074. DOI:  https://doi.org/10.3390/electronics9071074
NO This research was funded by “Configuration and management of micro-grid based on renewable energy and hydrogen technology (H2SMART-μGRID)” Spanish Government, grant Ref: PI2017-85540-R.
DS Repositorio Institucional de la Universidad de Huelva
RD 30 may 2026