| Issue |
MATEC Web Conf.
Volume 173, 2018
2018 International Conference on Smart Materials, Intelligent Manufacturing and Automation (SMIMA 2018)
|
|
|---|---|---|
| Article Number | 02031 | |
| Number of page(s) | 4 | |
| Section | Automation and Nontraditional Manufacturing | |
| DOI | https://doi.org/10.1051/matecconf/201817302031 | |
| Published online | 19 June 2018 | |
Early Warning of Electric Characteristic Parameters on Electric Power System Based on Embedded System
Chongqing College of Electronic Engineering, University City, Chongqing, China
Corresponding author : 547634524@qq.com
In order to avoid the operation accidents of power system caused by the influences of various artificial or nature factors, the paper explored the early warning of characteristic parameters on power system based on embedded system. In the paper, it taken a 110kV substation as an example, studied on therelated algorithm of the electric characteristic parameters, constructed the hardware and software platformbased on embedded microprocessor, and designed the hardware circuit and software control program. The commissioning test demonstrated that it could accurately judge the latent fault of related devices, and send correctly the trip command to make the isolation between the fault device and the power system so as to protect the system from being damaged. The experiment results show that it is effective and available to early warning of power system.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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