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Browsing by Author "Kul, Seda"

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    Citation Count: Iskender, Ires; Kul, Seda; Balci, Selami, "FEA Simulation of the Electromagnetic Effects on the Flux Distribution of the Joints in the Transformer Core Structure", 2018 2nd International Symposium on Multidiscipliary Studies and Innovative Technologies (ISMSIT), pp. 88-92, (2018).
    FEA Simulation of the Electromagnetic Effects on the Flux Distribution of the Joints in the Transformer Core Structure
    (IEEE, 2018) Kul, Seda; İskender, İres; Balcı, Selami; 133746
    In the manufacturing of the transformer the occurrence of air gaps at the joints of the legs and yokes of the core lamination stacking of the transformers is inevitable. The air-gap in the core joints affects the magnetic flux density and the magnetic flux distribution in the core. The location, shape, length and number of air-gaps all are different from each other. The increase in air-gap of transformer core will increase the reluctance of the core causing a reduction in the total magnetic flux value. The effects of the air-gap in joints cannot be exactly analyzed mathematically. However, the electromagnetic modeling using the finite element method provides facility to simulate and analyze such a problem. In this study, the effects of air-gaps with different shapes and length in the transformer legs on the stray magnetic are compared with using Finite Element Analysis (FEA) software.
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    Citation Count: 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.
    Metaheuristic Algorithms Based Approaches For Efficiency Analysis Of Three-Phase Dry-Type Transformers
    (2021) Kul, Seda; Celtek, Seyit Alperen; İskender, İres; 133746
    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%.