Proceedings of the 2019 International Conference on Modeling, Simulation, Optimization and Numerical Techniques (SMONT 2019)

Fault type Identification of Distribution Network Based on Transient Current Sequence Component

Authors
Xiaoqing Chen, Xingang Chen, Yuxuan Feng, Hao Luo, Shuai Wang
Corresponding Author
Xiaoqing Chen
Available Online April 2019.
DOI
10.2991/smont-19.2019.58How to use a DOI?
Keywords
distribution network; fault type; fault characteristic quantity; neural network; fault identification
Abstract

Aiming at the occurrence of line fault in distribution network, an intelligent identification method of fault type is developed, which is of great significance for rapid fault line selection and location. When different types of faults occur in the 35kV low-current grounding system, different transient currents will be generated. Therefore, a fault identification method based on transient current monitoring is proposed. FTU (Feeder Terminal Unit) was used to obtain transient current, and then symmetric component method was used to decompose transient current. The amplitude of positive, negative and zero sequence current obtained was used to construct probability neural network (PNN) for training. The test samples are brought into the PNN network, and the simulation results show that the fault identification method has high accuracy.

Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2019 International Conference on Modeling, Simulation, Optimization and Numerical Techniques (SMONT 2019)
Series
Advances in Intelligent Systems Research
Publication Date
April 2019
ISBN
978-94-6252-712-6
ISSN
1951-6851
DOI
10.2991/smont-19.2019.58How to use a DOI?
Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Xiaoqing Chen
AU  - Xingang Chen
AU  - Yuxuan Feng
AU  - Hao Luo
AU  - Shuai Wang
PY  - 2019/04
DA  - 2019/04
TI  - Fault type Identification of Distribution Network Based on Transient Current Sequence Component
BT  - Proceedings of the 2019 International Conference on Modeling, Simulation, Optimization and Numerical Techniques (SMONT 2019)
PB  - Atlantis Press
SP  - 262
EP  - 265
SN  - 1951-6851
UR  - https://doi.org/10.2991/smont-19.2019.58
DO  - 10.2991/smont-19.2019.58
ID  - Chen2019/04
ER  -