Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)

The Korean Institute of Electrical Engineers (대한전기학회)
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Optimal Design of PM Wind Generator using Memetic Algorithm

Memetic Algorithms을 적용한 영구자석 풍력발전기 최적설계

  • Park, Ji-Seong (Department of Electrical Engineering, Dong-A University) ;
  • Ahn, Young-Jun (Department of Electrical Engineering, Dong-A University) ;
  • Kim, Jong-Wook (Department of Electronic Engineering, Dong-A University) ;
  • Lee, Chel-Gyun (Department of Electrical Engineering, Dong-Eui University) ;
  • Jung, Sang-Yong (Department of Electrical Engineering, Dong-A University)
  • Published : 2009.04.23
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Abstract

This paper presents the novel implementation of memetic algorithm with GA (Genetic Algorithm) and MADS (Mesh Adaptive Direct Search), which is applied for optimal design methodology of electric machine. This hybrid algorithm has been developed for obtaining the global optimum rapidly, which is effective for optimal design of electric machine with many local optima and much longer computation time. In particular, the proposed memetic algorithm has been forwarded to optimal design of direct-driven PM wind generator for maximizing the Annual Energy Production (AEP), of which design objective should be obtained by FEA (Finite Element Analysis). After all, it is shown that GA combined with MADS has contributed to reducing the computation time effectively for optimal design of PM wind generator when compared with purposely developed GA implemented with the parallel computing method.

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