GRFO Optimization-Based Multi-Port Hybrid Converter for Microgrid

The complexity of maintaining and operating a hybrid power supply system that adapts to dynamic conditions could lead to higher maintenance and operational costs. A reliable and efficient power supply system that can adapt to dynamic conditions and support both grid stability and electric vehicle charging infrastructure. According to this paper, a hybrid converter uses an optimization approach to combine a DC-DC converter with a DC-AC inverter under dynamic situations to give a steady power supply for the grid and charging system. Here, the novel optimization of Garra Rufa fish optimization (GRFO) is developed to minimize operating costs along with the impacts of micro grids on the environment. The GRFO method is utilized to analyze a multi-port energy stabilization system when satisfying the load power demand. Load demands with technical and economic information design parameters are deemed as input to the controller. GRFO provides significant advancements in voltage range operation, control and protection, marking a substantial innovation in hybrid converters. With this innovative control, the system is able to balance power and maintain DC voltage functioning under several states thereby improving the power supply system's overall reliability and efficacy. The proposed system is carried out on MATLAB/Simulink and their outcomes are analyzed by various existing systems. The MAPE, RMSE and MBE of the proposed system under 50 numbers of trials are 4.2, 9.3 and 2.8. After 100 trials, the proposed technique's RMSE, MAPE and MBE are 13.6, 3.9 and 5.8. The proposed system's mean, median and standard deviation are 0.9681, 0.9062 and 0.1099. The proposed approach has an elapsed time of 30.15 s. The proposed approach is less expensive than the existing ones, costing $120, and has a power loss of 32.21 watts.