Optimal Design of Direct-Driven Wind Generator Using Mesh Adaptive Direct Search(MADS)

Autor:	Ji-Seong Park, Cheol-Gyun Lee, Jong-Wook Kim, Young-Jun An, Sang-Yong Jung
Rok vydání:	2009
Předmět:	Optimal design Engineering business.industry Computation Control engineering Statistical model GeneralLiterature_MISCELLANEOUS Wind speed Finite element method Control theory Genetic algorithm Direct search business Energy (signal processing)
Zdroj:	Journal of the Korean Institute of Illuminating and Electrical Installation Engineers. 23:48-57
ISSN:	1229-4691
DOI:	10.5207/jieie.2009.23.12.048
Popis:	This paper presents optimal design of direct-driven PM wind generator using MADS (Mesh Adaptive Direct Search). Optimal design of the direct-driven PM Wind Generator, combined with MADS and FEM (Finite Element Method), has been performed to maximize the Annual Energy Production (AEP) over the whole wind speed characterized by the statistical model of the wind speed distribution. In particular, the newly applied MADS contributes to reducing the computation time when compared with Genetic Algorithm (GA) implemented with the parallel computing method.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::a7b86c4009cd34eddc697af457bedd0f https://doi.org/10.5207/jieie.2009.23.12.048 Zobrazit plný text záznamu