A Power Swing Detection Scheme in Distance Relays Using Support Vector Machine Based Classifier
محل انتشار: فصلنامه مهندسی برق مدرس، دوره: 11، شماره: 2
سال انتشار: 1390
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 94
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شناسه ملی سند علمی:
JR_MJEEMO-11-2_004
تاریخ نمایه سازی: 21 اسفند 1403
چکیده مقاله:
In power systems, distance relays are utilized widely as main protection of the high voltage transmission lines, and their safe operation has significant effects on health of the components and stability of the system. Power swing is a phenomenon that can cause mal-operation of the distance relays while there is no fault in the system. In this paper, a protection scheme based on Support Vector Machine (SVM) classifier is proposed for the digital distance relays to distinguish between power swings and faults. In this work, simulations are done on a study system and related train and test patterns are generated to analyze performance of the proposed method. Also, the proper structure of the SVM classifier is investigated using the train and test patterns. The train and test patterns contain information of the different power swing conditions and symmetrical and asymmetrical types of faults. The results of the tests and simulations confirm the efficiency of the proposed protection algorithm
کلیدواژه ها:
Transmission Lines ، Distance Protection ، Power Swing ، Short Circuit Fault ، Support Vector Machine (SVM) ، خطوط انتقال ، حفاظت دیستانس ، نوسان توان ، خطای اتصال کوتاه ، ماشین بردار پشتیبان (SVM )
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