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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| Published in: | Ain Shams Engineering Journal Vol. 15; no. 12; p. 103067 |
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| Main Authors: | , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Elsevier B.V
01.12.2024
Elsevier |
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| ISSN: | 2090-4479 |
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| Abstract | 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. |
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| AbstractList | 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. |
| ArticleNumber | 103067 |
| Author | Topaloglu, Ismail Yiğit, Mahmud Esad Bektaş, Enes Korkmaz, Fatih |
| Author_xml | – sequence: 1 givenname: Ismail surname: Topaloglu fullname: Topaloglu, Ismail email: ismail.topaloglu@glasgow.ac.uk organization: James Watt Engineering Faculty, University of Glasgow, Glasgow, UK – sequence: 2 givenname: Enes surname: Bektaş fullname: Bektaş, Enes email: enesbektas@karatekin.edu.tr organization: Faculty of Engineering, Department of Electrical and Electronics Engineering, Çankırı Karatekin University, Çankırı, Turkiye – sequence: 3 givenname: Mahmud Esad surname: Yiğit fullname: Yiğit, Mahmud Esad email: eyigit@karatekin.edu.tr organization: Faculty of Engineering, Department of Electrical and Electronics Engineering, Çankırı Karatekin University, Çankırı, Turkiye – sequence: 4 givenname: Fatih surname: Korkmaz fullname: Korkmaz, Fatih email: fkorkmaz@karatekin.edu.tr organization: Faculty of Engineering, Department of Electrical and Electronics Engineering, Çankırı Karatekin University, Çankırı, Turkiye |
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| Issue | 12 |
| Keywords | MOGA Skewed stator PM generator Wind power Genetic Algorithm |
| Language | English |
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| Title | Design and experimental implementation of skewed stator structured PM generator using Multi-Objective Genetic Algorithm for gearless direct driven wind system |
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