https://doi.org/10.1051/epjconf/202533003008
Intelligent Energy Management in an Isolated DC Microgrid using Fuzzy Logic
Engineering and Aplied Physics Research Teams (EAP) High Scool of Technologies, Sultan Moulay Slimane University, Beni Mellal, Morocco
* Abdelaziz Youssfi: abdelaziz.youssfi@usms.ma
Published online: 30 June 2025
An intelligent management system based on fuzzy logic is proposed in this work to optimize energy management in a DC microgrid. The main objective is to guarantee the continuous supply of a DC load, to favor the use of energy produced by renewable sources, and to optimize the operation of the storage unit. The microgrid studied consists of a distributed generation unit in the PV modules and an ESS using a Lithium-Ion battery, both connected to the load. The PV system is controlled by a MPPT method implementing the INC algorithm, while the storage system is managed by a PI controller to control battery charging and discharging. A detailed explanation of the system is followed by a Matlab/Simulink simulation, which validates the proposal. Simulation results demonstrate the system's reliability, high performance and fast dynamics. More specifically, the performance indicators show a significant improvement in energy efficiency, a reduction in energy losses, and increased stability of the microgrid. These features confirm the effectiveness of the proposed control strategy for energy management in an isolated DC microgrid.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
