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

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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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  -