This paper proposes a fuzzy logic-based energy management system (EMS) for microgrids
with a combined battery and hydrogen energy storage system (ESS), which ensures the power balance
according to the load demand at the time that it takes into account the improvement of the microgrid
performance from a technical and economic point of view. As is known, renewable energy-based
microgrids are receiving increasing interest in the research community, since they play a key role in the
challenge of designing the next energy transition model. The integration of ESSs allows the absorption
of the energy surplus in the microgrid to ensure power supply if the renewable resource is insufficient
and the microgrid is isolated. If the microgrid can be connected to the main power grid, the freedom
degrees increase and this allows, among other things, diminishment of the ESS size. Planning the
operation of renewable sources-based microgrids requires both an efficient dispatching management
between the available and the demanded energy and a reliable forecasting tool. The developed
EMS is based on a fuzzy logic controller (FLC), which presents different advantages regarding
other controllers: It is not necessary to know the model of the plant, and the linguistic rules that
make up its inference engine are easily interpretable. These rules can incorporate expert knowledge,
which simplifies the microgrid management, generally complex. The developed EMS has been
subjected to a stress test that has demonstrated its excellent behavior. For that, a residential-type
profile in an actual microgrid has been used. The developed fuzzy logic-based EMS, in addition to
responding 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 be
introduced by the expert depending on the microgrid characteristic and profile demand to accomplish.
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