Optimization of Dry-Type Transformer Parameters with Different Methods and FEA Analysis

Seda KÜL; Suleyman Sungur TEZCAN; Huseyin DUYSAK; Seyit Alperen CELTEK

doi:https://doi.org/10.31590/ejosat.1084380

Article Details

Optimization of Dry-Type Transformer Parameters with Different Methods and FEA Analysis

Authors:

Seda KÜL | Suleyman Sungur TEZCAN | Huseyin DUYSAK | Seyit Alperen CELTEK

Publisher:

Osman SAĞDIÇ

Main Topics:

Applied physics

Journal:

European Journal of Science and Technology 2022 Vol. Issue 34, pp.701-704

Document Type:

Article

Publication Date:

3/2022

Document Language:

English

Document ID (Org No.):

2000915713

Frequency:

Quarterly

eISSN:

2148-2683

DOI:

https://doi.org/10.31590/ejosat.1084380

Keywords:

Abstract:

 

Due to the importance of correct optimization of transformer design parameters and efficiency, six design variables are used in this study for the optimization of a dry type three-phase transformer based on FEA analysis. Optimization was carried out using the variables of an iron cross-section acceptability (C), the current density of primary and secondary windings (s), magnetic flux density (B), and primary and secondary windings cross-section area (q1, q2). For efficiency optimization, particle swarm optimization (PSO) and Artificial Bee Colony (ABC) algorithms are used and magnetic flux distribution and loss values are obtained with ANSYS/MAXWELL. As a result of the optimization, 98.67% and 98.69% efficiency, 1096.56 and 1108.45 W power gains were obtained with PSO and ABC. In addition, the change in magnetic flux distribution according to the cross-sectional area determined according to the C value obtained as a result of the optimization is shown.

 

Trafo tasarım parametrelerinin ve verimliliğin doğru optimizasyonunun öneminden dolayı, bu çalışmada, FEA analizine dayalı olarak kuru tip üç fazlı bir transformatörün optimizasyonu için altı tasarım değişkeni kullanılmıştır. Optimizasyon işlemi, bir demir kesit kabul edilebilirliği (C), birincil ve ikincil sargıların (s) akım yoğunluğu, manyetik akı yoğunluğu (B) ve birincil ve ikincil sargı kesit alanı (q1, q2) değişkenleri kullanılarak gerçekleştirilmiştir. Verimlilik optimizasyonu için partikül sürü optimizasyonu (PSO) ve Yapay Arı Kolonisi (ABC) algoritmaları kullanılıp, ANSYS/MAXWELL ile manyetik akı dağılımı ve kayıp değerleri elde edilir. Optimizasyon sonucunda PSO ve ABC ile %98.67 ve %98.69 verim, 1096,56 ve 1108,45 W güç kazancı elde edilmiştir. Ayrıca optimizasyon sonucunda elde edilen C değerine göre belirlenen kesit alanına göre manyetik akı dağılımındaki değişim gösterilmektedir.

Article Details

Optimization of Dry-Type Transformer Parameters with Different Methods and FEA Analysis

Authors:

Seda KÜL | Suleyman Sungur TEZCAN | Huseyin DUYSAK | Seyit Alperen CELTEK

Publisher:

Osman SAĞDIÇ

Main Topics:

Applied physics

Journal:

European Journal of Science and Technology 2022 Vol. Issue 34, pp.701-704

Document Type:

Article

Publication Date:

3/2022

Document Language:

English

Document ID (Org No.):

2000915713

Frequency:

Quarterly

eISSN:

2148-2683

DOI:

https://doi.org/10.31590/ejosat.1084380

PSO

Power transformer

optimization

PSO

Artificial bee colony

FEA

Issues

Article Details

Optimization of Dry-Type Transformer Parameters with Different Methods and FEA Analysis

Authors: Seda KÜL | Suleyman Sungur TEZCAN | Huseyin DUYSAK | Seyit Alperen CELTEK

Publisher: Osman SAĞDIÇ

Main Topics: Applied physics

Journal: European Journal of Science and Technology 2022 Vol. Issue 34, pp.701-704

Document Type: Article

Publication Date: 3/2022

Document Language: English

Document ID (Org No.): 2000915713

Frequency: Quarterly

eISSN: 2148-2683

DOI: https://doi.org/10.31590/ejosat.1084380

PSO

Power transformer

optimization

PSO

Artificial bee colony

FEA

Issues

Authors:

Seda KÜL | Suleyman Sungur TEZCAN | Huseyin DUYSAK | Seyit Alperen CELTEK

Publisher:

Osman SAĞDIÇ

Main Topics:

Applied physics

Journal:

European Journal of Science and Technology 2022 Vol. Issue 34, pp.701-704

Document Type:

Article

Publication Date:

3/2022

Document Language:

English

Document ID (Org No.):

2000915713

Frequency:

Quarterly

eISSN:

2148-2683

DOI:

https://doi.org/10.31590/ejosat.1084380