Optimal design of direct-driven PM wind generator applying parallel computing genetic algorithm

Abstract

Optimal design of the direct-driven PM wind generator, coupled with F.E.A(finite element analysis) and genetic algorithm(GA), has been performed to maximize the annual energy production(AEP) over the whole wind speed characterized by the statistical model of wind speed distribution. Internet distributed computing is proposed for the real world and complex optimization such as optimal design of direct-driven PM wind generator. Particularly, the parallel computing via internet web service has been applied to loose excessive computing times for optimization.