Performance Analysis of Ann-Based Multi-Input Hybrid Power Conversion System

This paper presents an ANN-based multi-input boost converter. A boost converter converts a DC voltage to a higher input DC voltage. A multi-input boost converter raises voltage as well, it has three inputs, two of which are unidirectional and one of which is bidirectional. The two different unidirectional ports connect renewable energy sources like a fuel cell and a solar cell, whereas the bidirectional port connects to a battery. Photovoltaic cells are the principal power source used for the generation of input power. For tracking the Maximum Power Point Tracking (MPPT) Perturb and Observe technique is used. The system's secondary source is a fuel cell with no negative environmental impact. If the other sources cannot give the desired output, the battery is used as the power input source. The output of the proposed system is constant voltage and current. The proposed converter is compared to a traditional and interleaved boost converter in terms of efficiency, component counts, and stability. The results are obtained using MATLAB/ Simulink, demonstrating that the proposed converter outperforms the conventional and interleaved boost converters.