Optimization of Efficiency and Parameters of Dc-Dc Converter Using Enhanced Jaya Algorithm

This project presents a comparative efficiency optimization of DC-DC power converters using the Jaya and Enhanced Jaya algorithms. DC-DC converters are essential in power electronics, requiring precise tuning of parameters such as switching frequency, duty cycle, inductance, and capacitance to improve efficiency and reduce losses. Traditional optimization methods often face limitations like slow convergence and entrapment in local optima. The Enhanced Jaya algorithm addresses these issues through a dynamic, adaptive search mechanism that improves convergence speed and global optimization performance. It is applied to various DC-DC converter topologies, targeting key performance metrics including efficiency, output ripple, and transient response. Simulation results demonstrate that the Enhanced Jaya algorithm consistently outperforms conventional optimization techniques, achieving better parameter tuning and enhanced overall converter performance. This optimization approach shows strong potential for real-world applications in renewable energy, electric vehicles, and industrial power systems.