Systemic optimal design of wind energy generator based on combined analytical-finite element method using genetic algorithms

IF 1.5 Q4 ENERGY & FUELS Wind Engineering Pub Date : 2024-04-07 DOI:10.1177/0309524x241237734
S. Tounsi
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Abstract

This work deals with optimal systemic design of wind energy generator based on an Integrated Optimal Design (IOD) methodology of a full passive wind turbine system. The originality of the study resides in the use of DC model of wind turbine the make the integration of this model to Genetics Algorithms method possible. The optimization problem concerns the association of the DC model of the wind turbine with a developed Genetics Algorithms to optimize conjointly the global power system mass and total power system energy losses with several constraints. The generator is designed by analytical method validated by finite element method.
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基于遗传算法的分析-有限元组合法的风能发电机系统优化设计
这项研究基于全被动风力涡轮机系统的集成优化设计(IOD)方法,探讨了风能发电机的最优系统设计。这项研究的独创性在于使用了风力涡轮机的直流模型,使该模型与遗传算法的整合成为可能。优化问题涉及将风力涡轮机的直流模型与所开发的遗传算法结合起来,在多个约束条件下共同优化全球电力系统质量和电力系统总能量损失。发电机的设计采用分析方法,并通过有限元方法进行验证。
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来源期刊
Wind Engineering
Wind Engineering ENERGY & FUELS-
CiteScore
4.00
自引率
13.30%
发文量
81
期刊介绍: Having been in continuous publication since 1977, Wind Engineering is the oldest and most authoritative English language journal devoted entirely to the technology of wind energy. Under the direction of a distinguished editor and editorial board, Wind Engineering appears bimonthly with fully refereed contributions from active figures in the field, book notices, and summaries of the more interesting papers from other sources. Papers are published in Wind Engineering on: the aerodynamics of rotors and blades; machine subsystems and components; design; test programmes; power generation and transmission; measuring and recording techniques; installations and applications; and economic, environmental and legal aspects.
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