Design and application of a novel Improved Fire Hawk Optimization technique-tuned ANFIS for optimal regulation of energy of a composite microgrid system

The operation of hybrid microgrid systems without sufficient control can result in system synchronization issues within renewable energy sources (RESs) and the power network. This impact on the synchronization can drastically affect the whole equilibrium, stability, and reliability. Hence, to eliminate such issues, this paper has focussed on the development of a novel, improved fire hawk optimization technique (IFHOT) for preparing three ANFIS regulators for a stable energy management system of a utility network-connected hybrid non-conventional system. The hybrid system features the combination of a battery unit + wind power generator (W) + photovoltaic (PV) array + fuel cell (FC) stack. The IFHOT-trained ANFIS-based monitoring control system determines the switching of the various RESs, thereby regulating the power they generate. Load power requirement, grid power need, and condition of the battery, also known as SOC, are considered for the operation of the ANFIS-based management system. The research work carried out here aims to optimize the switching and power generation of the various RESs. It also ensures fast instability mitigation that can be observed from the voltage, current, and power graphs. Furthermore, successful comparisons with other intelligent controllers, such as fire hawk optimization technique (FHOT) tuned ANFIS and circle search algorithm (CSA) tuned ANFIS, are executed in the proposed work. Concerning voltage, current, power control and harmonics alleviation, IFHOT-tuned ANFIS has yielded superior results compared to FHOT-tuned ANFIS and CSA-tuned ANFIS. All the experiments have been performed on the MATLAB/SIMULINK platform.