Similarly, Teo et al. (2020) implemented a fuzzy-based energy management system in hybrid AC and DC microgrids to optimize battery charging/discharging and minimize peak load. Dhara et al. (2024) implemented a superconducting fault current limiter (SFCL) and fuzzy-based inverter to address the power quality issues in MGs.
Arcos-Aviles et al. (2021) introduced a fuzzy-based power management system in grid-connected microgrids to maintain a stable power balance. The proposed control mechanism ensured smooth operation by dynamically adjusting the power flow from PV, wind, and battery storage units.
PSO, Genetic Algorithm, and MBA are some of the optimization algorithms used in the existing works. In some approaches, different types of controllers are used with optimization strategies to obtain the best performance with optimal size and cost. Some of the suggestions and recommendations for future works based on microgrids are given below:
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