Research of Fault Phase Selection based on the Energy Coefficient of Fault Current Component and PNN

DOI

10.2991/iceep-16.2016.26How to use a DOI?

Keywords

Transmission line; Fault component; Coefficient of energy; Probabilistic neural network; Fault phase selection

Abstract

Fault-phase selection is an important link on corrective actions of high-voltage transmission lines protection, but also an important prerequisite for accurate fault location. The traditional fault phase selection method is only applicable to simple fault, low sensitivity, and easily affected by system operation mode, fault grounding resistance etc.. On the basis of the analysis for fault component of each phase current, this paper gives a definition of fault component energy by the concept of signal energy and presents a new type of fault phase identification method based on fault component energy coefficient. This method directly uses the fault current to extract fault components and calculate the signal energy of fault component for two cycles after fault inception, and the ratio coefficient that fault component energy of each phase current accounts the total energy can be gotten. Then probabilistic neural network of fault phase selection may be established to select fault phase by fault phase identification feature vector.

Copyright

© 2016, 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  - Ying Yang
AU  - Wei Xue
AU  - Xianfeng Tang
PY  - 2016/11
DA  - 2016/11
TI  - Research of Fault Phase Selection based on the Energy Coefficient of Fault Current Component and PNN
BT  - Proceedings of the 2016 5th International Conference on Energy and Environmental Protection (ICEEP 2016)
PB  - Atlantis Press
SP  - 155
EP  - 159
SN  - 2352-5401
UR  - https://doi.org/10.2991/iceep-16.2016.26
DO  - 10.2991/iceep-16.2016.26
ID  - Yang2016/11
ER  -