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A New Procedure for High Frequency Decentralized Modeling Parameters Identification of a Transformer Winding Construction Using Frequency Response Analysis Based on Logistic Chaotic JAYA Algorithm

  • ELECTROMAGNETIC METHODS
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Abstract

Frequency response analysis (FRA) is considered as a reliable method for the diagnosis of the power transformer winding. Despite this popularity, interpretation of FRA signatures has challenges steel. This paper proposes an elegant and a robust decentralized computation methodology based on logistic chaotic JAYA algorithm (LCJAYA) to construct a high frequency mutually coupled equivalent circuit (HF-MCEC) of the transformer winding for diagnosis purposes. The decentralized HF-MCEC is firstly built from three frequency sub-bands (low, medium, and high frequency) separately. Afterwards, the synthesized LCJAYA algorithm with high efficiency and the mathematical model for HF-MCEC are elaborated. As well, the optimisation methods have difficulties in identifying the nearly unique equivalent circuit parameter in a large search space area. The proposed methodology uses two main strategies. At first, a logistic chaotic to enhance the population diversity and to improve the exploration search areas. Then, a chaotic mutation strategy to improve the exploration and the exploitation at different search process. The success of the proposed study can be imputed to a careful physical correlation between the inductances, capacitances, resistances parameters and their natural frequencies. FRA measurements has been conducted on transformer winding models. The performance of the proposed method is evaluated and compared under different cases.

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ACKNOWLEDGMENTS

The authors would like to thank the General Directorate for Scientific Research and Technological Development, Algeria (Direction Générate de la Recherche Scientifique et du Développement Technologique “DGRSDT,” Algerie), for the resources provided for scientific research and development.

Funding

This work was supported by regular institutional funding, and no additional grants were obtained.

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Authors and Affiliations

  1. Laboratoire des systèmes électriques et télécommande, Faculté de Technologie, Université Blida 1, BP 270, route de Soumaa, Blida, Algerie

    Abdallah Chanane & Messaoud Belazzoug

  2. Université Akli Mohand Oulhadj, Bouira, Algerie

    Hamza Houassine

Authors
  1. Abdallah Chanane
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  2. Messaoud Belazzoug
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  3. Hamza Houassine
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Correspondence to Abdallah Chanane, Messaoud Belazzoug or Hamza Houassine.

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Chanane, A., Belazzoug, M. & Houassine, H. A New Procedure for High Frequency Decentralized Modeling Parameters Identification of a Transformer Winding Construction Using Frequency Response Analysis Based on Logistic Chaotic JAYA Algorithm. Russ J Nondestruct Test 59, 456–467 (2023). https://doi.org/10.1134/S1061830923600041

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