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Design optimization of distribution transformers with nature-inspired metaheuristics: a comparative analysis

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dc.contributor.authors Alhan, L; Yumusak, N;
dc.date.accessioned 2020-01-13T12:15:21Z
dc.date.available 2020-01-13T12:15:21Z
dc.date.issued 2017
dc.identifier.citation Alhan, L; Yumusak, N; (2017). Design optimization of distribution transformers with nature-inspired metaheuristics: a comparative analysis. TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES, 25, 4684-4673
dc.identifier.issn 1300-0632
dc.identifier.uri https://hdl.handle.net/20.500.12619/2876
dc.identifier.uri doi.org/10.3906/elk-1701-231
dc.description.abstract Many economies in the world have adopted energy-efficiency requirements or incentive programs mandating or promoting the use of energy-efficient transformers. On the other hand, increases in transformer efficiency are subject to increases in transformer weight and size, sometimes as much as 50% or more. The transformer manufacturing industry is therefore faced with the challenge to develop truly optimum designs. Transformer design optimization (TDO) is a mixed integer nonlinear programming problem having a complex and discontinuous objective function and constraints, with the objective of detailed calculation of the characteristics of a transformer based on national and/or international standards and transformer user requirements, using available materials and manufacturing processes, to minimize manufacturing cost or total owning cost while maximizing operating performance. This paper gives a detailed comparative analysis of the application of five modern nature-inspired metaheuristic optimization algorithms for the solution of the TDO problem, demonstrated on three test cases, and proposes two algorithms, for which it has been verified that they possess guaranteed global convergence properties in spite of their inherent stochastic nature. A pragmatic benchmarking scheme is used for comparison of the algorithms. It is expected that the use of these two algorithms would have a significant contribution to the reduction of the design and manufacturing costs of transformers.
dc.language English
dc.publisher TUBITAK SCIENTIFIC & TECHNICAL RESEARCH COUNCIL TURKEY
dc.subject Engineering
dc.title Design optimization of distribution transformers with nature-inspired metaheuristics: a comparative analysis
dc.type Article
dc.identifier.volume 25
dc.identifier.startpage 4673
dc.identifier.endpage 4684
dc.contributor.department Sakarya Üniversitesi/Fen Bilimleri Enstitüsü
dc.contributor.saüauthor Alhan, Levent
dc.contributor.saüauthor Yumuşak, Nejat
dc.relation.journal TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES
dc.identifier.wos WOS:000416947200019
dc.identifier.doi 10.3906/elk-1701-231
dc.identifier.eissn 1303-6203
dc.contributor.author Alhan, Levent
dc.contributor.author Yumuşak, Nejat


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