| Title |
Optimal Design of Permanent Magnet Wind Generator for Maximum Annual Energy Production |
| Authors |
정호창(Jung, Ho-Chang) ; 정상용(Jung, Sang-Yong) ; 한성진(Hahn, Sung-Chin) ; 이철균(Lee, Cheol-Gyun) |
| Keywords |
Annual Energy Production(AEP) ; Genetic Algorithm(GA) ; parallel computing ; PM wind generator ; Finite Element Method(F.E.M) |
| Abstract |
The wind generators have been installed with high output power to increase the energy production and efficiency. Hence, Optimal design of the direct-driven PM wind generator, coupled with F.E.M(Finite Element Method) 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. Particularly, the parallel computing via internet web service has been applied to loose excessive computing times for optimization. The results of the optimal design of Surface-Mounted Permanent Magnet Synchronous Generator(SPMSG) are compared with each other candidates to verify the usefulness of the maximizing AEP model. |