Rameshar, VikashSharma, GulshanBokoro, Pitshou N.Celik, EmreÖztürk, Nihat2024-08-232024-08-2320231532-50081532-5016https://doi.org/10.1080/15325008.2023.2200778https://hdl.handle.net/20.500.12684/14201The micro-grid (mu-grid) has picked up momentum worldwide with the ability to supply cost-effective, clean, and reliable electrical power to the present-day demand. The practical mu-grids are comprised of non-conventional and conventional sources such as wind turbine generators (WTG) and diesel generators (DG). Due to the encouragement of wind power which is exceedingly sporadic in nature and thus the frequency of the mu-grid is exceedingly vulnerable due to the erratic nature of wind speed. Variations in the load demand have also added to the vulnerability of the mu-grid at distinctive moments of time. Consequently, this paper appears to be a novel plan that utilizes artificial neuro-fuzzy inference system (ANFIS) within the built frequency regulation of the mu-grid. The proposed research has been employed within the mu-grid, and the application outcomes have taken all possibilities, such as load variety at the distinctive moment of time, modification of the load demand on the mu-grid, and step alteration of the wind input. The achieved results are coordinated with a few of the most recent results, which presents the ANFIS ahead over other strategies. Although there is a probable scope for improvement which subsequently involves the fuel cell (FC) with a hydrogen aqua electrolyzer (HAE) unit, as well as a redox flow battery (RFB), that is introduced one at a time in the mu-grid and the results of mu-grid are calculated for various working conditions to show the impact that the ANFIS technology has upon storage devices with regards to the mu-grid architecture.en10.1080/15325008.2023.2200778info:eu-repo/semantics/closedAccessmicrogriddiesel generatorwind turbine generatorhydrogen aqua electrolyzerfuel cellredox flow batteryAutomatic-Generation ControlPower-SystemStorageControllerManagementCellsArticle5115158415962-s2.0-85153486479WOS:000974699700001Q3Q3