Power-to-volume of the High Speed Generators

The high-speed generators offer superior power-to-volume ratio and highly compact structure comparing with their lower speed counterparts. These advantages make high-speed machines eligible for distributed generating application with microturbine that one of the distributed power generation that produced electric in the remote and disastrous zones where grid power is unavailable. To achieve higher power-to-volume ratio, it is offer to use optimization methods. In this paper, two powerful optimization algorithms, i.e. genetic algorithm and Particle Swarm Optimization (PSO) are considered. The model of machine with loss calculations is prepared for this optimization. It will be shown the power-to-volume ratio of the High-speed Axial Flux Generator (HSAFG) can be increased two times by using PSO. Key word: High-speed machine • axial-flux generator • power-to-volume ratio • optimization • genetic algorithm • PSO