论文信息 - Optimal Design of Direct-Driven Wind Generator Using Dynamic Encoding Algorithm for Searches(DEAS)

Optimal Design of Direct-Driven Wind Generator Using Dynamic Encoding Algorithm for Searches(DEAS)

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 contributes to reducing the excessive computing time for the optimization process.

Sang-Yong Jung | Eun-Su Kim | Hochang Jung | Cheol-Gyun Lee | Jong-Wook Kim

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