DSpace@Çankaya

Metaheuristic Algorithms Based Approaches For Efficiency Analysis Of Three-Phase Dry-Type Transformers

Basit öğe kaydını göster

dc.contributor.author Kul, Seda
dc.contributor.author Celtek, Seyit Alperen
dc.contributor.author İskender, İres
dc.date.accessioned 2024-04-25T07:31:48Z
dc.date.available 2024-04-25T07:31:48Z
dc.date.issued 2021
dc.identifier.citation Kul, S.; Celtek, S.S.; İskender, İ. (2021). "Metaheuristic Algorithms Based Approaches For Efficiency Analysis Of Three-Phase Dry-Type Transformers", Konya Mühendislik Bilimleri Dergisi, Vol.9, No.4, pp.889-903. tr_TR
dc.identifier.issn 2667-8055
dc.identifier.uri http://hdl.handle.net/20.500.12416/7926
dc.description.abstract Transformers are considered as the significant contributors to the efficient transmission and distribution of electrical energy. The ability to change the voltage and current levels in inverse proportion help to reduce the conductor losses. However, today’s stringent requirements for more significant efficiency markings turn attention to the efficiency of individual components in a power system. Therefore, a great deal of effort is being placed to maximize the efficiency of the transformers without compromising their fundamental function. This is a complex problem and requires the use of advanced design tools. Metaheuristic methods developed in recent years are being used in electrical engineering, where they provide savings in design time and great success in finding the optimum solution. In this study, we have used the Particle Swarm Optimization (PSO), the Simulated Annealing (SA), and the Tree Seed Algorithm (TSA) methods, respectively. The objective is to develop a design methodology for threephase dry-type transformers and to maximize their efficiency. The results of the three algorithms are compared to validate the optimum solution. For the demonstration of the process, a three-phase 100 kVA dry-type transformer is used. After the mathematical model of the transformer is created, the transformer parameters, current density (s), and transformer iron cross-section acceptability (C) are optimized. As a result, it has been observed that the efficiency of transformers can be increased beyond what is achieved with conventional techniques. The efficiency has been optimized and increased from 97.5% to 98.44%. tr_TR
dc.language.iso eng tr_TR
dc.relation.isversionof 10.36306/konjes.946496 tr_TR
dc.rights info:eu-repo/semantics/openAccess tr_TR
dc.subject Optimization tr_TR
dc.subject Dry-Type Transformer tr_TR
dc.subject Metaheuristic Algorithms tr_TR
dc.subject Transformer Efficiency tr_TR
dc.title Metaheuristic Algorithms Based Approaches For Efficiency Analysis Of Three-Phase Dry-Type Transformers tr_TR
dc.type article tr_TR
dc.relation.journal Konya Mühendislik Bilimleri Dergisi tr_TR
dc.contributor.authorID 133746 tr_TR
dc.identifier.volume 9 tr_TR
dc.identifier.issue 4 tr_TR
dc.identifier.startpage 889 tr_TR
dc.identifier.endpage 903 tr_TR
dc.contributor.department Çankaya Üniversitesi, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümü tr_TR


Bu öğenin dosyaları:

Bu öğe aşağıdaki koleksiyon(lar)da görünmektedir.

Basit öğe kaydını göster