Dergiler / Cankaya University Journal of Science and Engineering / 2026 / Volume: 17 Issue: 1

Protection of Transformers with Fuzzy Logic

Sayfa
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Yayın Tarihi
2020-05-01
DOI
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It is understood that the study is successful.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:Power transformers are one of the most expensive and most important elements in the power system.
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Temel Bulgular & Veri:Malfunctions in power transformers result in significant power cuts and, consequently, material damage.
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Sonuç & Katkı:It is understood that the study is successful.
🔬Tür:Research Article
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Transformer protection · power transformers · fuzzy logic

Abstract

Power transformers are one of the most expensive and most important elements in the power system. Malfunctions in power transformers result in significant power cuts and, consequently, material damage. This important problem needs to be solved. Power transformers must be protected from various fault conditions and faults in the power system. In this study, power transformers are significantly protected from failures in power systems. While this process is provided by various protection relays, the differential protection relays are generally used. In this study, protection relays have been controlled by fuzzy logic and protection has been provided in power transformers. The fuzzy based relay algorithm has been composed of flux-differential current derivation curve, harmonic restriction and percentage differential characteristic curves. The fuzzy-based relay algorithm has been coded in Matlab software. The software has been tested on the power transformer control panels at the Erdemli Substation. The electrical and mechanical failures that occurred have been identified in a shorter time. Thus, damage to power transformers is prevented by controlling relays more effectively and faster. This has led to a significant reduction in maintenance and repair costs. It is understood that the study is successful.

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Bu Makaleye Atıf Yap

Zile, M. (2020). Protection of Transformers with Fuzzy Logic. Cankaya University Journal of Science and Engineering, Volume: 17 Issue: 1. https://ajindex.com/articles/1468683

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Kaynakça (8)

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