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Cast-Resin Dry-Type Transformer Thermal Modeling Based on Particle Swarm Optimization

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Soft Computing Applications (SOFA 2014)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 356))

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Abstract

In this research paper, a novel approach for dynamic thermal modeling of cast-resin dry-type transformer is introduced. In order to analyze the dynamic behavior of the temperatures in this type of transformer, a new thermal model has been introduced which is based on the particle swarm optimization (PSO) algorithm. Selecting a typical 400 kVA dry-type transformer, the models parameters have been estimated (by employing the PSO) and validated using the experimental data. The PSO is used to estimate the models parameters with a good performance. The estimated second-order model describes the thermal behavior of the cast-resin transformer completely. Using this model, dynamic thermal behavior of the transformer has been analyzed and the effects of load variation on thermal behavior of transformer have been discussed in this paper. It has been shown that the newly introduced thermal model that is estimated using the PSO is an accurate and efficient model for analyzing the dynamic thermal behavior of the cast-resin dry-type transformer.

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Author information

Authors and Affiliations

  1. Department of Electrical Engineering, College of Engineering, Abhar Branch, Islamic Azad University, Abhar, Iran

    Davood Azizian

  2. Department of Electrical Engineering, Zanjan Branch, Islamic Azad University, Zanjan, Iran

    Mehdi Bigdeli

Authors
  1. Davood Azizian
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  2. Mehdi Bigdeli
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Corresponding author

Correspondence to Davood Azizian .

Editor information

Editors and Affiliations

  1. Department of Automation and Applied Informatics, Aurel Vlaicu University of Arad, Arad, Romania

    Valentina Emilia Balas

  2. Faculty of Science and Technology, Data Science Institute, Bournemouth University, Poole, United Kingdom

    Lakhmi C. Jain

  3. University of Belgrade, Belgrade, Serbia

    Branko Kovačević

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Azizian, D., Bigdeli, M. (2016). Cast-Resin Dry-Type Transformer Thermal Modeling Based on Particle Swarm Optimization. In: Balas, V., C. Jain, L., Kovačević, B. (eds) Soft Computing Applications. SOFA 2014. Advances in Intelligent Systems and Computing, vol 356. Springer, Cham. https://doi.org/10.1007/978-3-319-18296-4_12

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  • DOI: https://doi.org/10.1007/978-3-319-18296-4_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-18295-7

  • Online ISBN: 978-3-319-18296-4

  • eBook Packages: EngineeringEngineering (R0)

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