Journals / Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi / 2009 / Cilt: 24 - Sayı: 1

A pattern recognition application for distance protection

Mesafe koruma için bir örüntü tanıma uygulaması

Pages
51–61
Publication Date
2022-10-18
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

In the implemented digital relay application, it is shown that SVM classifies faults occurred on transmission line with very high performance level.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In this paper, a method based on Support Vector Machines (SVM) as pattern classifier is presented for distance protection operation.
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Key Findings & Data:The proposed method generates an output by determining faults occurred at different location of power transmission line for relay operation.
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Conclusion & Impact:In the implemented digital relay application, it is shown that SVM classifies faults occurred on transmission line with very high performance level.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

In this paper, a method based on Support Vector Machines (SVM) as pattern classifier is presented for distance protection operation. The proposed method generates an output by determining faults occurred at different location of power transmission line for relay operation. The approach utilizes three-phase current and voltage information. The current and voltage information which are used in training and testing of SVM are obtained from a transmission line simulation which is performed by Alternative Transient Program (ATP). In the implemented digital relay application, it is shown that SVM classifies faults occurred on transmission line with very high performance level.

Özet

Bu makalede, mesafe koruma işlevi için örüntü sınıflandırıcısı olarak Destek Vektör Makineler (DVM) yöntemini kullanan bir yöntem sunulmuştur. Önerilen yöntem enerji iletim hattının farklı noktalarında meydana gelen arızaları algılayarak röle işlevi için bir çıkış üretilmektedir. Yöntem, üç faz akım ve gerilim bilgilerinden faydalanmaktadır. DVM’nin eğitiminde ve test edilmesinde kullanılan akım ve gerilim bilgileri Alternative Transient Program (ATP) ile gerçekleştirilen bir iletim hattı benzetiminden elde edilmiştir. Gerçekleştirilen dijital röle uygulamasında, DVM’nin oldukça yüksek bir başarı oranı ile iletim hattında meydana gelen arızaları sınıflandırdığı görülmüştür.

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Cite This Article

EKİCİ, S., POYRAZ, M., YILDIRIM, S. (2022). A pattern recognition application for distance protection. Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi, Cilt: 24 - Sayı: 1, 51–61. https://ajindex.com/articles/523830

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