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...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Scientific reports Jg. 15; H. 1; S. 32421 - 21
Hauptverfasser:	Draz, Abdelmonem, Ashraf, Hossam, El Shamy, Ahmed R., El-Fergany, Attia A.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Nature Publishing Group UK 12.09.2025 Nature Publishing Group Nature Portfolio
Schlagworte:	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-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!