Bayrak, GökayYılmaz, AlperDemirci, Eren2024-06-242024-06-242023-12-2503603199https://hdl.handle.net/20.500.12885/2273This paper presents an intelligent adaptive neuro-fuzzy inference (ANFIS)-based control method for increasing the Fault Ride-Through (FRT) capability of hydrogen energy-based distributed generators. The static synchronous compensator (STATCOM) system is integrated into the modeled power system with the Solid Oxide Fuel Cell system. To investigate the FRT capability of the proposed method, fault scenarios under different grid conditions are generated. The proposed ANFIS-based method is compared with the conventional PI-based STATCOM model and the system without any flexible AC transmission system devices. When the obtained results are analyzed, with the developed intelligent control method, an improvement of at least 8% and a maximum of 12.6% is achieved in the voltage value, depending on the type of failure that occurs. Besides, there is an improvement of at least 10% and at most 16.6% in the settling time values. The voltage fluctuations and sudden peaks in the system with the proposed method are less than in the other systems and it provides voltage support to the system successfully. The transient response of the Solid Oxide Fuel Cell system provides sustainable and stable reactive power support to the grid. Besides, the proposed method not only contributes to the FRT capability of system but also minimizes voltage changes that may reduce the life of the distributed generator or cause it to malfunctioneninfo:eu-repo/semantics/closedAccessAdaptive neuro-fuzzy inference system (ANFIS)FACTSFault resilience capabilityHydrogen energySolid oxide fuel cell (SOFC)Article10.1016/j.ijhydene.2023.06.27448993944239462WOS:001114391200001Q1Q1