Competency of improved artificial ecosystem optimizer in parameters identification of small and medium sized distribution transformers

Accurate modelling of distribution transformers (TXs) is crucial to identify their operating characteristics across several power system applications. Consequently, this paper employs an improved version of the artificial ecosystem optimizer (called IAEO) in parameters estimation of distribution TXs...

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Bibliographic Details
Published in:	Scientific reports Vol. 15; no. 1; pp. 32421 - 21
Main Authors:	Draz, Abdelmonem, Ashraf, Hossam, El Shamy, Ahmed R., El-Fergany, Attia A.
Format:	Journal Article
Language:	English
Published:	London Nature Publishing Group UK 12.09.2025 Nature Publishing Group Nature Portfolio
Subjects:	639/166 639/166/987 Accuracy Algorithms Artificial ecosystem optimizer Behavior Distribution transformers Efficiency Exploitation Genetic algorithms Humanities and Social Sciences Metaheuristic algorithms parameters estimation multidisciplinary Normal distribution Objective function Optimization algorithms Optimization techniques Parameter estimation Parameter identification Science Science (multidisciplinary) Statistical analysis Artificial ecosystem optimizer Statistical analysis Metaheuristic algorithms parameters estimation Distribution transformers
ISSN:	2045-2322, 2045-2322
Online Access:	Get full text
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