Stacked Auto-Encoder Based Fault Location in VSC-HVDC
This paper presents an end-to-end approach for locating faults on high-voltage dc (HVDC) transmission lines. Different from traditional methods which rely on communications between different measuring units or feature extraction of post fault transients, the proposed algorithm takes the raw data of...
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doaj-7350651a64314f27ae00f5e70254f7ff2021-03-29T21:05:46ZengIEEEIEEE Access2169-35362018-01-016332163322410.1109/ACCESS.2018.28488418387831Stacked Auto-Encoder Based Fault Location in VSC-HVDCGuomin Luo0https://orcid.org/0000-0003-2273-0787Changyuan Yao1Yinglin Liu2Yingjie Tan3Jinghan He4Kai Wang5School of Electrical Engineering, Beijing Jiaotong University, Beijing, ChinaSchool of Electrical Engineering, Beijing Jiaotong University, Beijing, ChinaSchool of Electrical Engineering, Beijing Jiaotong University, Beijing, ChinaSchool of Electrical Engineering, Beijing Jiaotong University, Beijing, ChinaSchool of Electrical Engineering, Beijing Jiaotong University, Beijing, ChinaCloudMinds Technologies Inc., Beijing, ChinaThis paper presents an end-to-end approach for locating faults on high-voltage dc (HVDC) transmission lines. Different from traditional methods which rely on communications between different measuring units or feature extraction of post fault transients, the proposed algorithm takes the raw data of locally detected traveling current surges as the only-input and outputs the fault locations directly. Especially, the stacked auto-encoder (SAE) is utilized to model the relationship between fault currents and fault locations. The SAE-based method is performed in time domain and tested with a simulated HVDC transmission line modeled in PSCAD/EMTDC. The simulation results show that this method is effective in locating faulted points and robust against attenuation, overlapping of traveling surges, and various ground resistances.https://ieeexplore.ieee.org/document/8387831/VSC-HVDCfault locationstacked auto-encoderdeep learning |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Guomin Luo Changyuan Yao Yinglin Liu Yingjie Tan Jinghan He Kai Wang |
spellingShingle |
Guomin Luo Changyuan Yao Yinglin Liu Yingjie Tan Jinghan He Kai Wang Stacked Auto-Encoder Based Fault Location in VSC-HVDC IEEE Access VSC-HVDC fault location stacked auto-encoder deep learning |
author_facet |
Guomin Luo Changyuan Yao Yinglin Liu Yingjie Tan Jinghan He Kai Wang |
author_sort |
Guomin Luo |
title |
Stacked Auto-Encoder Based Fault Location in VSC-HVDC |
title_short |
Stacked Auto-Encoder Based Fault Location in VSC-HVDC |
title_full |
Stacked Auto-Encoder Based Fault Location in VSC-HVDC |
title_fullStr |
Stacked Auto-Encoder Based Fault Location in VSC-HVDC |
title_full_unstemmed |
Stacked Auto-Encoder Based Fault Location in VSC-HVDC |
title_sort |
stacked auto-encoder based fault location in vsc-hvdc |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2018-01-01 |
description |
This paper presents an end-to-end approach for locating faults on high-voltage dc (HVDC) transmission lines. Different from traditional methods which rely on communications between different measuring units or feature extraction of post fault transients, the proposed algorithm takes the raw data of locally detected traveling current surges as the only-input and outputs the fault locations directly. Especially, the stacked auto-encoder (SAE) is utilized to model the relationship between fault currents and fault locations. The SAE-based method is performed in time domain and tested with a simulated HVDC transmission line modeled in PSCAD/EMTDC. The simulation results show that this method is effective in locating faulted points and robust against attenuation, overlapping of traveling surges, and various ground resistances. |
topic |
VSC-HVDC fault location stacked auto-encoder deep learning |
url |
https://ieeexplore.ieee.org/document/8387831/ |
work_keys_str_mv |
AT guominluo stackedautoencoderbasedfaultlocationinvschvdc AT changyuanyao stackedautoencoderbasedfaultlocationinvschvdc AT yinglinliu stackedautoencoderbasedfaultlocationinvschvdc AT yingjietan stackedautoencoderbasedfaultlocationinvschvdc AT jinghanhe stackedautoencoderbasedfaultlocationinvschvdc AT kaiwang stackedautoencoderbasedfaultlocationinvschvdc |
_version_ |
1724193543900102656 |