Equivalent Circuit Based Design Approach of Axial-Flux Induction Generator for Wind Turbines

Bati Eren Ergun; Mehmet Onur Gulbahce; Guven Onur; Derya Ahmet Kocabas; Serkan Dusmez

doi:10.1109/ACEMP-OPTIM57845.2023.10287065

Equivalent Circuit Based Design Approach of Axial-Flux Induction Generator for Wind Turbines

Bati Eren Ergun, Mehmet Onur Gulbahce, Guven Onur, Derya Ahmet Kocabas, Serkan Dusmez

Department of Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In this study, an equivalent circuit based systematic design approach was proposed for an axial-flux induction generator (AFIG). As initial step, analytical design equations were derived based on equivalent circuit parameters. An AFIG with 12 poles, 3-kW, 132. 79V/60 Hz is designed using the proposed approximation. Finite element based 3D transient magnetic modeling was used to validate calculated analytical design parameters. By comparing the finite element analysis (FEA) with results from the analytical approach, the consistency of the approach was demonstrated. In order to minimize the computational time, an analytical approach that is significantly faster than FEA-based tools was developed.

Original language	English
Title of host publication	2023 International Aegean Conference on Electrical Machines and Power Electronics and 2023 International Conference on Optimization of Electrical and Electronic Equipment, ACEMP-OPTIM 2023
Publisher	Transilvania University of Brasov 1
ISBN (Electronic)	9798350311495
DOIs	https://doi.org/10.1109/ACEMP-OPTIM57845.2023.10287065
Publication status	Published - 2023
Event	2023 International Aegean Conference on Electrical Machines and Power Electronics and 2023 International Conference on Optimization of Electrical and Electronic Equipment, ACEMP-OPTIM 2023 - Istanbul, Turkey Duration: 1 Sept 2023 → 2 Sept 2023

Publication series

Name	Proceedings of the International Conference on Optimisation of Electrical and Electronic Equipment, OPTIM
ISSN (Print)	1842-0133

Conference

Conference	2023 International Aegean Conference on Electrical Machines and Power Electronics and 2023 International Conference on Optimization of Electrical and Electronic Equipment, ACEMP-OPTIM 2023
Country/Territory	Turkey
City	Istanbul
Period	1/09/23 → 2/09/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

Axial flux induction generator
equivalent circuit based design
finite element method
induction generators
wind turbines

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/ACEMP-OPTIM57845.2023.10287065

Cite this

Ergun, B. E., Gulbahce, M. O., Onur, G., Kocabas, D. A., & Dusmez, S. (2023). Equivalent Circuit Based Design Approach of Axial-Flux Induction Generator for Wind Turbines. In 2023 International Aegean Conference on Electrical Machines and Power Electronics and 2023 International Conference on Optimization of Electrical and Electronic Equipment, ACEMP-OPTIM 2023 (Proceedings of the International Conference on Optimisation of Electrical and Electronic Equipment, OPTIM). Transilvania University of Brasov 1. https://doi.org/10.1109/ACEMP-OPTIM57845.2023.10287065

Ergun, Bati Eren ; Gulbahce, Mehmet Onur ; Onur, Guven et al. / Equivalent Circuit Based Design Approach of Axial-Flux Induction Generator for Wind Turbines. 2023 International Aegean Conference on Electrical Machines and Power Electronics and 2023 International Conference on Optimization of Electrical and Electronic Equipment, ACEMP-OPTIM 2023. Transilvania University of Brasov 1, 2023. (Proceedings of the International Conference on Optimisation of Electrical and Electronic Equipment, OPTIM).

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abstract = "In this study, an equivalent circuit based systematic design approach was proposed for an axial-flux induction generator (AFIG). As initial step, analytical design equations were derived based on equivalent circuit parameters. An AFIG with 12 poles, 3-kW, 132. 79V/60 Hz is designed using the proposed approximation. Finite element based 3D transient magnetic modeling was used to validate calculated analytical design parameters. By comparing the finite element analysis (FEA) with results from the analytical approach, the consistency of the approach was demonstrated. In order to minimize the computational time, an analytical approach that is significantly faster than FEA-based tools was developed.",

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Ergun, BE, Gulbahce, MO, Onur, G, Kocabas, DA & Dusmez, S 2023, Equivalent Circuit Based Design Approach of Axial-Flux Induction Generator for Wind Turbines. in 2023 International Aegean Conference on Electrical Machines and Power Electronics and 2023 International Conference on Optimization of Electrical and Electronic Equipment, ACEMP-OPTIM 2023. Proceedings of the International Conference on Optimisation of Electrical and Electronic Equipment, OPTIM, Transilvania University of Brasov 1, 2023 International Aegean Conference on Electrical Machines and Power Electronics and 2023 International Conference on Optimization of Electrical and Electronic Equipment, ACEMP-OPTIM 2023, Istanbul, Turkey, 1/09/23. https://doi.org/10.1109/ACEMP-OPTIM57845.2023.10287065

Equivalent Circuit Based Design Approach of Axial-Flux Induction Generator for Wind Turbines. / Ergun, Bati Eren; Gulbahce, Mehmet Onur; Onur, Guven et al.
2023 International Aegean Conference on Electrical Machines and Power Electronics and 2023 International Conference on Optimization of Electrical and Electronic Equipment, ACEMP-OPTIM 2023. Transilvania University of Brasov 1, 2023. (Proceedings of the International Conference on Optimisation of Electrical and Electronic Equipment, OPTIM).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Equivalent Circuit Based Design Approach of Axial-Flux Induction Generator for Wind Turbines

AU - Ergun, Bati Eren

AU - Gulbahce, Mehmet Onur

AU - Onur, Guven

AU - Kocabas, Derya Ahmet

AU - Dusmez, Serkan

PY - 2023

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N2 - In this study, an equivalent circuit based systematic design approach was proposed for an axial-flux induction generator (AFIG). As initial step, analytical design equations were derived based on equivalent circuit parameters. An AFIG with 12 poles, 3-kW, 132. 79V/60 Hz is designed using the proposed approximation. Finite element based 3D transient magnetic modeling was used to validate calculated analytical design parameters. By comparing the finite element analysis (FEA) with results from the analytical approach, the consistency of the approach was demonstrated. In order to minimize the computational time, an analytical approach that is significantly faster than FEA-based tools was developed.

AB - In this study, an equivalent circuit based systematic design approach was proposed for an axial-flux induction generator (AFIG). As initial step, analytical design equations were derived based on equivalent circuit parameters. An AFIG with 12 poles, 3-kW, 132. 79V/60 Hz is designed using the proposed approximation. Finite element based 3D transient magnetic modeling was used to validate calculated analytical design parameters. By comparing the finite element analysis (FEA) with results from the analytical approach, the consistency of the approach was demonstrated. In order to minimize the computational time, an analytical approach that is significantly faster than FEA-based tools was developed.

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Ergun BE, Gulbahce MO, Onur G, Kocabas DA, Dusmez S. Equivalent Circuit Based Design Approach of Axial-Flux Induction Generator for Wind Turbines. In 2023 International Aegean Conference on Electrical Machines and Power Electronics and 2023 International Conference on Optimization of Electrical and Electronic Equipment, ACEMP-OPTIM 2023. Transilvania University of Brasov 1. 2023. (Proceedings of the International Conference on Optimisation of Electrical and Electronic Equipment, OPTIM). doi: 10.1109/ACEMP-OPTIM57845.2023.10287065

Equivalent Circuit Based Design Approach of Axial-Flux Induction Generator for Wind Turbines

Abstract

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Bibliographical note

Keywords

UN SDGs

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