Improved Sheep Flock Heredity Algorithm Based Fault Detection and Localization in Power transmission Lines

被引：0
|
作者：
Prasath, C. [1 ]
Subramaniam, N. P. [2 ]
机构：
[1] Sathyabama Univ, Chennai, Tamil Nadu, India
[2] Puduchery Engn Coll, Dept EEE, Puduchery, India
来源：
PROCEEDINGS OF IEEE INTERNATIONAL CONFERENCE ON CIRCUIT, POWER AND COMPUTING TECHNOLOGIES (ICCPCT 2016) | 2016年
关键词：
Fault Detection; Fault Localization; Improved; Sheep Flock Heredity Algorithm; NEURAL-NETWORK; DISTANCE PROTECTION; CLASSIFICATION; DISTURBANCES; LOCATION; MACHINE;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Power transmission is one of the fields drastically growing in the world presently. In this paper, it is aimed to provide a solution for detecting the fault and its location accurately by utilizing ISFHA- [Improved Sheep Flock Heredity Algorithm]. It is necessary to satisfy the customer in terms of power quality transmission. Power quality damages occur due to short circuit, natural disasters and other problems. The estimation of fault and location of the fault can be detected using the local and global searching techniques of ISFH algorithm. Since the ISFHA utilizes the optimization methodology the accuracy of fault detection and localization is high. Also, the effects of ISFHA parameters such as population, crossover and chromosome generation including fitness function to achieve the optimized result. The simulation results are compared with the existing results obtained using GA is compared to evaluating the performance of the ISFHA.
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收藏
页数：6
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