Enhanced transformer protection using fuzzy-logic-integrated differential relays: a comparative study with rule-based methods

dc.contributor.authorHussein, Raad Ibrahim Hussein
dc.contributor.authorGökşenli, Nurettin
dc.contributor.authorBektaş, Enes
dc.contributor.authorTeke, Mustafa
dc.contributor.authorTümay, Mehmet
dc.contributor.authorYaseen, Ethar Sulaiman Yaseen
dc.contributor.authorBektaş, Yasin
dc.contributor.authorTaha, Taha A.
dc.date.accessioned2024-09-30T12:28:08Z
dc.date.available2024-09-30T12:28:08Z
dc.date.issued2024
dc.departmentTeknik Bilimler Meslek Yüksekokulu
dc.description.abstractThe power transformers are the important part of electrical networks where transformer reliability and operational lifetime depends on sufficiently accurate and reliable protective means. Other traditional forms of differential protection that were developed initially also suffer from the inability to distinguish between a fault and normal operation such as inrush currents in transformers and CT saturation. This paper presents the development of an improved differential relay augmented by Fuzzy-Logic Control System (FLC), to improve (a) dependability, (b) performance of the existing transformer protection systems, and (c) accuracy in fault identification possible due to uncertainty and non-linearity in transformer operation. They include the proposed methodology compared to the traditional Rule-based current differential method in outlining the protection settings. MATLAB/Simulink model of the power transformer and protection methods suggested in the study form a part of the investigation. Computer simulations show that the presented scheme provides a substantial increase in the speed and resolution of fault detection and fault types identification relating to current differential method based on the Rule. The system’s accuracy rate is the average of 98% for internal faults and 95% for external faults while its response time is 25ms for internal faults and 30ms for external faults. Furthermore, the Fuzzy-Logic-based system has an 90% efficiency in detect the defect and 85% efficiency in identify the inrush currents. The findings of this research prove that the differential relay based on Fuzzy-Logic enhances the flexibility and reliability of transformer protection and opens the road to the introduction of further improvements in the intelligent protection systems in the future.
dc.identifier.doi10.18196/jrc.v5i5.21937
dc.identifier.endpage1310en_US
dc.identifier.issn2715-5056
dc.identifier.issue5en_US
dc.identifier.scopusqualityQ2
dc.identifier.startpage1299en_US
dc.identifier.urihttps:/dx.doi.org/10.18196/jrc.v5i5.21937
dc.identifier.urihttps://hdl.handle.net/20.500.12451/12507
dc.identifier.volume5en_US
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherDepartment of Agribusiness, Universitas Muhammadiyah Yogyakarta
dc.relation.ispartofJournal of Robotics and Control (JRC)
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectDifferential Relays
dc.subjectFault Detection
dc.subjectFuzzy Logic Control
dc.subjectPower System Stability
dc.subjectTransformer Protection
dc.titleEnhanced transformer protection using fuzzy-logic-integrated differential relays: a comparative study with rule-based methods
dc.typeArticle

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