Detection and Classification of Transmission Line Faults using Modified F-SVM

被引：0

作者：

Keshri, Jay Prakash ^{[1
]}

Tiwari, Harpal ^{[1
]}

机构：

[1] Malaviya Natl Inst Technol Jaipur, Elect Engn Dept, Jaipur, Rajasthan, India

来源：

2018 IEEE INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ELECTRICAL ENGINEERING AND 2018 IEEE INDUSTRIAL AND COMMERCIAL POWER SYSTEMS EUROPE (EEEIC / I&CPS EUROPE) | 2018年

关键词：

Support Vector Machine; Feature Extraction; Feature Selection; Multi-Class Classification etc; LOCATION; SELECTION;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The restoration of power after fault needs a proper protection scheme which involves different element such as, relay and circuit breaker. The supportive actions of these elements necessitate correctly identifying and isolating faulty section. The fault or an unwanted disturbance can create transient in the system which, if not identified and consequently not been removed, can cause serious damage to the various system components. This paper considers a synchronized phasor measurement based protection scheme which first identifies faulty section then classifies different types of fault. This will provide a quick solution to isolate a faulty section. The proposed algorithm is investigated on 39-bus New England system and the results obtained are found to be promising.

引用

页数：8

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