New method for Fault Classification in TCSC Compensated Transmission Line using GA Tuned SVM

被引：0

作者：

Tripathi, Pushkar ^{[1
]}

Pillai, G. N. ^{[1
]}

Gupta, H. O. ^{[1
]}

机构：

[1] Indian Inst Technol, Dept Elect Engn, Roorkee, Uttar Pradesh, India

来源：

2012 IEEE INTERNATIONAL CONFERENCE ON POWER SYSTEM TECHNOLOGY (POWERCON) | 2012年

关键词：

Fault Classification; Genetic Algorithm (GA); Support Vector Machine (SVM); Thyristor-Controlled Series Compensator (TCSC); ADAPTIVE PROTECTION SCHEME;

D O I：

暂无

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

Presence of TCSC (Thyristor-Controlled Series Compensator) compensated transmission lines is increasing in modern power systems due to their benefits like increased power flow capacity but these benefits come at the cost of difficulty in protection of the transmission line. This paper presents a new method using SVM (Support Vector Machine) for fault classification in such line. This method is compared with existing SVM based methods and higher classification accuracy has been achieved. The improved accuracy is achieved by changing the architecture and input of the classifier. Genetic Algorithm (GA) is used to search globally optimum value of SVM parameters. Effect of sampling frequency and data window length on proposed scheme is also analyzed.

引用

页数：6

共 19 条

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