Design and experimental implementation of skewed stator structured PM generator using Multi-Objective Genetic Algorithm for gearless direct driven wind system

This study presents the electromagnetic design, analysis, optimization with Multi-Objective Genetic Algorithm (MOGA) and implementation of a permanent magnet (PM) generator for gearless direct-driven wind turbine applications. The main purposes of this study are to achieve a cost-effective system, c...

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Vydáno v:Ain Shams Engineering Journal Ročník 15; číslo 12; s. 103067
Hlavní autoři: Topaloglu, Ismail, Bektaş, Enes, Yiğit, Mahmud Esad, Korkmaz, Fatih
Médium: Journal Article
Jazyk:angličtina
Vydáno: Elsevier B.V 01.12.2024
Elsevier
Témata:
Genetic Algorithm
MOGA
Skewed stator PM generator
Wind power
MOGA
Skewed stator PM generator
Wind power
Genetic Algorithm
ISSN:2090-4479
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Popis
Shrnutí:This study presents the electromagnetic design, analysis, optimization with Multi-Objective Genetic Algorithm (MOGA) and implementation of a permanent magnet (PM) generator for gearless direct-driven wind turbine applications. The main purposes of this study are to achieve a cost-effective system, create compact design with improved cogging torque and obtain high efficiency design. Two output objective functions (cost and efficiency) are improved by using geometric dimensions parameters of the generator in MOGA optimization. Simulation and experimental results have been compared and obtained as very close to each other. Both the simulations and experimental study have demonstrated that the efficiency of the proposed structure is achieved at the desired level. The efficiency of the wind power system has been improved and hardware cost is reduced via the proposed MOGA-based optimization approach for skewed stator PM generator.
ISSN:2090-4479
DOI:10.1016/j.asej.2024.103067