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Toward unique electrical ladder network model synthesis of a transformer winding high-frequency modeling using K-means and metaheuristic-based method

Abdallah Chanane (Département Automatique et Electrotechnique, Faculté de Technologie, Laboratoire des systèmes électriques et télécommande, Université Blida 1, Blida, Algeria)
Hamza Houassine (Département de Génie Électrique, Université Akli Mohand Oulhadj, Bouira, Algeria)

COMPEL - The international journal for computation and mathematics in electrical and electronic engineering

ISSN: 0332-1649

Article publication date: 16 February 2024

Issue publication date: 1 March 2024

27

Abstract

Purpose

Although, numerous optimization algorithms have been devoted to construct an electrical ladder network model (ELNM), they suffer from some frail points such as insufficient accuracy as well as the majority of them are unconstrained, which result in optimal solutions that violate certain security operational constraints. For this purpose, this paper aims to propose a flexible-constraint coyote optimization algorithm; the novelty lies in these points: penalty function is introduced in the objective function to discard any unfeasible solution, an advanced constraint handling technique and empirical relationship between the physical estimated parameters and their natural frequencies.

Design/methodology/approach

Frequency response analysis (FRA) is very significant for transformer winding diagnosis. Interpreting results of a transformer winding FRA is quite challenging. This paper proposes a new methodology to synthesize a nearly unique ELNM physically and electrically coupled for power transformer winding, basing on K-means and metaheuristic algorithm. To this end, the K-means method is used to cluster the setting of control variables, including the self-mutual inductances/capacitances, and the resistances parameters. Afterward, metaheuristic algorithm is applied to determine the cluster centers with high precision and efficiency.

Findings

FRA is performed on a power transformer winding model. Basing on the proposed methodology, the prior knowledge in selecting the initial guess and search space is avoided and the global solution is ensured. The performance of the abovementioned methodology is compared using evaluation expressions to verify its feasibility and accuracy.

Originality/value

The proposed method could be generalized for diagnosis of faults in power transformer winding.

Keywords

Citation

Chanane, A. and Houassine, H. (2024), "Toward unique electrical ladder network model synthesis of a transformer winding high-frequency modeling using K-means and metaheuristic-based method", COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, Vol. 43 No. 1, pp. 247-266. https://doi.org/10.1108/COMPEL-05-2023-0207

Publisher

:

Emerald Publishing Limited

Copyright © 2024, Emerald Publishing Limited

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