Applications of Novel Heuristic Algorithms in Design Optimization of Energy-Efficient Distribution Transformer

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dc.authoridHashemi, Mohammad Hassan/0000-0003-0866-6061
dc.authorscopusid58070637300
dc.authorscopusid37461539100
dc.authorscopusid58070575600
dc.contributor.authorHashemi, Mohammad Hassan
dc.contributor.authorKilic, Ulas
dc.contributor.authorDikmen, Selim
dc.date.accessioned2024-08-25T18:51:00Z
dc.date.available2024-08-25T18:51:00Z
dc.date.issued2023
dc.departmentEge Üniversitesien_US
dc.description.abstractTransformers are crucial and expensive assets of power grids. Reducing power losses in power and distribution transformers is important because it increases the efficiency of the transformer, which in turn reduces the costs for the utility company and consumers. Losses in the transformer generate heat, which can reduce the lifespan of the transformer and require additional cooling. Additionally, reducing losses can help to decrease greenhouse gas emissions associated with the generation of electricity. This study presents an optimization method for transformer design problem using variables that have a great impact on the performance of a transformer. Due to the non-convex nature of the transformer design problems, the empirical methods fail to find the optimal solution and the design process is very tedious and time-consuming. Considering No Free Lunch (NFL) theorem, the design problem is solved using four novel heuristic optimization algorithms, the Firefly Optimization Algorithm (FA), Arithmetic Optimization Algorithm (AOA), Grey Wolf Optimization Algorithm (GWO), and Artificial Gorilla Troops Optimizer Algorithm (GTO) and the results are compared to an already manufactured 1000 kVA eco-friendly distribution transformer using the empirical methods. The outcome of the optimization shows that the suggested method along with the algorithms mentioned leads to a notable decrease in power losses by up to 3.5%, and a reduction in transformer weight by up to 8.3%. This leads to an increase in efficiency, decreased costs for materials, longer lifespan and a reduction in emissions. The developed model is capable of optimally designing oil-immersed distribution transformers with different power ratings and voltage levels.en_US
dc.description.sponsorshipScientific and Technological Research Council of Turkey (TUBITAK); Research and Development Department, Eltas Transformator A.S. [119C127]en_US
dc.description.sponsorshipThis work was supported in part by the Scientific and Technological Research Council of Turkey (TUBITAK); and in part by the Research and Development Department, Eltas Transformator A.S., under Grant 119C127.en_US
dc.identifier.doi10.1109/ACCESS.2023.3245327
dc.identifier.endpage15980en_US
dc.identifier.issn2169-3536
dc.identifier.scopus2-s2.0-85149167027en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage15968en_US
dc.identifier.urihttps://doi.org/10.1109/ACCESS.2023.3245327
dc.identifier.urihttps://hdl.handle.net/11454/102424
dc.identifier.volume11en_US
dc.identifier.wosWOS:000944799300001en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIeee-Inst Electrical Electronics Engineers Incen_US
dc.relation.ispartofIEEE Accessen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.snmz20240825_Gen_US
dc.subjectOil insulationen_US
dc.subjectOptimizationen_US
dc.subjectCostsen_US
dc.subjectPower transformer insulationen_US
dc.subjectTransformer coresen_US
dc.subjectHeuristic algorithmsen_US
dc.subjectFinite element analysisen_US
dc.subjectEcodesignen_US
dc.subjectTransformersen_US
dc.subjectEco-design transformeren_US
dc.subjectenergy efficiencyen_US
dc.subjectoptimizationen_US
dc.subjectpower lossesen_US
dc.subjecttransformer designen_US
dc.titleApplications of Novel Heuristic Algorithms in Design Optimization of Energy-Efficient Distribution Transformeren_US
dc.typeArticleen_US

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