Multi-objective particle swarm optimization of wind turbine directly connected PMSG

Annual yield energy, compact design and cost of active material as permanent magnet (PM) cost are the fundamental design aspects that permanent magnet synchronous generators (PMSGs) designer should consider. The complexity of the electric machine structure is a challenging task, which requires an optimal design approach. The use of intelligent optimization techniques is widely considered as an appropriate tool in this context. This paper adopts Particle Swarm Optimization (PSO) for the design of PMSG, optimizing for three different optimization functions. The optimization is achieved through the lumped element model of the generator. Then aided with finite element method software, the results from the PSO are verified and compared. The results highlighted that each optimization function serves a different purpose.