Yusupov, Z.Yaghoubi, E.Yaghoubi, E.2024-09-292024-09-292023979-835036049-3https://doi.org/10.1109/ELECO60389.2023.10416016https://hdl.handle.net/20.500.14619/945714th International Conference on Electrical and Electronics Engineering, ELECO 2023 -- 30 November 2023 through 2 December 2023 -- Virtual, Bursa -- 197135In contemporary smart distribution microgrids, both AC and DC loads and sources are consistently accessible, often operating at varying voltage levels simultaneously. Consequently, the typical scenario in today's microgrids involves a hybrid microgrid setup, necessitating the integration of inverters to facilitate power sharing between the AC and DC sections. Hence, this paper introduces a solution for active power control within an integrated AC/DC microgrid incorporating decentralized photovoltaic sources. The proposed solution employs a fuzzy neural controller to manage power generation, including the complexities of tracking the maximum power point during partial shading conditions. This approach effectively addresses the challenges posed by the combined microgrid configuration. The simulation results provide clear evidence of the success of the proposed method in controlling the active power managed by the DC microgrid and transferring it to the AC section. © 2023 IEEE.eninfo:eu-repo/semantics/closedAccessControllersElectric loadsElectric power system controlFuzzy inferenceFuzzy neural networksMicrogridsPower controlSmart power gridsAC and DC loadsActive powerActive power controlDC sourcesFuzzy-neural controllersMicrogridPhotovoltaic systemsPower sharingPowerpointVoltage levelsElectric power distributionConference Object10.1109/ELECO60389.2023.104160162-s2.0-85185833605N/A