Fault Location Estimation in HVDC Transmission Line Using ANN

被引：6

作者：

Johnson, Jenifer Mariam ^{[1
]}

Yadav, Anamika ^{[1
]}

机构：

[1] Natl Inst Technol, Dept Elect Engn, Raipur 492010, Chhattisgarh, India

来源：

PROCEEDINGS OF FIRST INTERNATIONAL CONFERENCE ON INFORMATION AND COMMUNICATION TECHNOLOGY FOR INTELLIGENT SYSTEMS: VOL 1 | 2016年 / 50卷

关键词：

ANN; Fault location; HVDC transmission line; PSCAD/EMTDC;

D O I：

10.1007/978-3-319-30933-0_22

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents a simple, yet accurate method for fault location in HVDC transmission lines using Artificial Neural Networks. The +/- 500 kV HVDC system has been modelled using PSCAD/EMTDC and further analysis has been done using MATLAB. Single-end AC RMS voltage and DC voltage and current have been used to identify the location of the fault. This method is relatively simple because the standard deviation of the fault data alone gives acceptably accurate results while using ANN.

引用

页码：205 / 211

页数：7

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