Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)
- 2008.04c
- /
- Pages.59-61
- /
- 2008
Optimal design of Direct-Driven PM Wind Generator Using Dynamic Encoding Algorithm for Searches(DEAS)
DEAS(Dynamic Encoding Algorithm for Searches)를 이용한 풍력발전기 최적설계
- Jung, Ho-Chang (Electrical Engineering, Dong-A University) ;
-
Lee, Cheol-Gyun
(Electrical Engineering, Dong-Eui University)
;
-
Kim, Jong-Wook
(Electronics Engineering, Dong-A University)
;
- Kim, Eun-Su (Electronics Engineering, Dong-A University) ;
-
Jung, Sang-Yong
(Electrical Engineering, Dong-A University)
- Published : 2008.04.25
Abstract
Optimal design of the direct-driven PM Wind Generator, combined with DEAS(Dynamic Encoding Algorithm for Searches) and FEM(Finite Element Method), has been proposed to maximize the Annual Energy Production(AEP) over the whole wind speed characterized by the statistical model of wind speed distribution. In particular, DEAS has been contributed to reducing the excessive computing time for the optimization process.
Keywords