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

DEAS를 이용한 직접구동형 풍력발전기 최적설계

  • Published : 2008.10.31

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

본 논문에서는 유한요소법(Finite Element Method)을 기반으로 하는 직접 구동형 영구자석 풍력발전기를 DEAS(Dynamic Encoding Algorithm for Searches)를 이용하여 연간 최대에너지 생산량(Annual Energy Production : AEP) 최대화를 목표로 최적설계 하였다. 특히, 풍력발전기의 전 운전영역을 고려하기 위하여 해당풍속에서의 통계적 확률밀도와 연간 운전시간을 적용하여 연간 최대에너지 생산량을 산정 하였으며, 여기서 발생한 과도한 해석수행 연산시간을 줄이기 위해서 전역 최적화 알고리즘인 DEAS를 적용하여 풍력발전기 최적설계를 수행하였다.

Keywords

References

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