| Issue |
E3S Web Conf.
Volume 204, 2020
2020 International Conference of Recent Trends in Environmental Sustainability and Green Technologies (ICRTEG 2020)
|
|
|---|---|---|
| Article Number | 02013 | |
| Number of page(s) | 7 | |
| Section | Green Energy and Power Engineering | |
| DOI | https://doi.org/10.1051/e3sconf/202020402013 | |
| Published online | 03 November 2020 | |
A New Approach to the Application of Condition-based Maintenance Technology of Power Equipment in Smart Grid
1 State Grid Heilongjiang Electric Power Co., Ltd. Electric Power Research Institute, Harbin 150001, China
2 State Grid Heilongjiang Electric Power Co., Ltd. Harbin 150001, China
* Corresponding author: uniquecharm@live.cn
a guoyuenan0619@126.com
b sunwei19850525@163.com
c 806715124@qq.com
d lilin77@yeah.net
e 418337933@qq.com
With the deepening of the reform of power enterprises, it is imperative for the maintenance of power equipment to be replaced by conditional maintenance. Therefore, combining the advantages of the expert system and the comprehensive analysis technology of multiple fault diagnosis algorithms, an intelligent power equipment condition maintenance system is designed. The system is mainly composed of modules such as data management, status evaluation, risk assessment, fault diagnosis, monitoring and early warning, and decision-making suggestions. Each module is independent and interconnected. Secondly, combined with the information collected by the Internet of Things to determine the maintenance plan, and then introduced the application of the Internet of Things technology in the full cycle management of power equipment, and finally compared and analysed the status maintenance and general maintenance based on the Internet of Things technology.
Key words: Smart Grid / Power Equipment / Condition Maintenance / Internet of Things
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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