Research on Emergency Judgement of Low Voltage Area Based on Classification Technique

DOI

10.2991/ammee-17.2017.35How to use a DOI?

Keywords

low voltage, emergency, classification technique, area.

Abstract

As an important evaluation index of power quality, voltage is the basic condition for guaranteeing power supply service. With the development of industry and the improvement of the living standards, the demand of electricity increases. Low voltage has become a major problem affecting the work, life and entertainment of the people. There are many causes for the low voltage. According to the sudden degree of maintenance and overhaul, such causes can be divided into sudden ones and non-sudden ones. It is of great significance to the daily maintenance of the power grid if the sudden cause can be quickly determined and the maintenance personnel can be sent for site maintenance. In this paper, the classification technique of machine learning is used to analyze the voltage related data in the power grid, and then a method for determining the cause of low voltage in distribution network areas is put forward.

Copyright

© 2017, 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  - Xiaoqiang Zhong
PY  - 2017/06
DA  - 2017/06
TI  - Research on Emergency Judgement of Low Voltage Area Based on Classification Technique
BT  - Proceedings of the Advances in Materials, Machinery, Electrical Engineering (AMMEE 2017)
PB  - Atlantis Press
SP  - 176
EP  - 180
SN  - 2352-5401
UR  - https://doi.org/10.2991/ammee-17.2017.35
DO  - 10.2991/ammee-17.2017.35
ID  - Zhong2017/06
ER  -