Estimation of electrical transformer parameters with reference to saturation behavior using artificial hummingbird optimizer

This paper offers an efficient tool to define the unknown parameters of electrical transformers. The proposed methodology is developed based on artificial hummingbird optimizer (AHO) to generate the best values of the transformer’s unknown parameters. At initial stage, the parameters’ extraction of...

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Bibliographic Details
Published inScientific reports Vol. 12; no. 1; p. 19623
Main Authors Kotb, Mohamed F., El-Fergany, Attia A., Gouda, Eid A.
Format Journal Article
LanguageEnglish
Published London Nature Publishing Group UK 15.11.2022
Nature Publishing Group
Nature Portfolio
Subjects
639/166/987
639/4077/4073/4071
639/4077/4073/4099
639/4077/4073/4100
Behavior
Efficiency
Engineering
Genetic algorithms
Humanities and Social Sciences
Investigations
Mathematical functions
multidisciplinary
Optimization
Parameter estimation
Science
Science (multidisciplinary)
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Summary:This paper offers an efficient tool to define the unknown parameters of electrical transformers. The proposed methodology is developed based on artificial hummingbird optimizer (AHO) to generate the best values of the transformer’s unknown parameters. At initial stage, the parameters’ extraction of the transformer electrical equivalent is adapted as an optimization function along with the associated operating inequality constraints. In which, the sum of absolute errors (SAEs) among many variables from nameplate data of transformers is decided to be minimized. Two test cases of 4 kVA and 15 kVA transformers ratings are demonstrated to indicate the ability of the AHO compared to other recent challenging optimizers. The proposed AHO achieves the lowest SAE’s value than other competing algorithms. At advanced stage of this effort, the capture of percentage of loading to achieve maximum efficiency is ascertained. At later stage, the performance of transformers utilizing the extracted parameters cropped by the AHO to investigate the principal behavior at energization of these transformer units is made. At the end, it can be confirmed that the AHO produces best values of transformer parameters which help much in achieving accurate simulations for steady-state and inrush behaviors.
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ISSN:2045-2322
2045-2322
DOI:10.1038/s41598-022-24122-8