Optimized mini notched turbine energy harvesting using resistor emulation approach and Particle Swarm Optimization

This paper proposes a novel mini notched turbine that can be used as a feasible energy source, and a methodology for optimizing the maximum-power-point tracking system needed to improve the efficiency of the DC-DC converter that helps transform the harvested kinetic energy coming from the turbine into useful electrical power. This methodology implemented by using a particle swarm optimization technique, where the converter efficiency is used as the fitness function, leading to optimized inductor and on-time parameter values. The proposed design improves the DC-DC converter efficiency by 9.25% when compared to conventional maximum-power-point tracking systems over a wide range of input power and optimal load resistances, allowing for the harvesting of more energy and greater power delivered to the load. This approach is not limited to ultra-low power applications; it can easily be extended to portable applications to extend battery life.