State Evaluation and Fault Prediction of Distribution Automation Terminal Equipment Based on Digital Twins

被引：0

作者：

Liu H. ^{[1
]}

Shao J. ^{[1
]}

Wang X. ^{[2
]}

Han X. ^{[3
]}

Liu X. ^{[2
]}

Liu S. ^{[1
]}

机构：

[1] School of Electrical Engineering and Automation, Wuhan University, Wuhan

[2] State Grid Hubei Electric Power Corporation, Wuhan

[3] State Grid Beijing Electric Power Corporation, Xicheng District, Beijing

来源：

Dianwang Jishu/Power System Technology | 2022年 / 46卷 / 04期

关键词：

Digital twin; Distribution automation terminal equipment; Fault prediction; State evaluation;

D O I：

10.13335/j.1000-3673.pst.2021.0661

中图分类号：

学科分类号：

摘要：

The digital twin aims to construct the mapping of physical entities from the real space to the virtual model. Through the real-time closed-loop drive of the two-way interactive data, the real-time status and dynamic characteristics of the physical entities are simulated. As an important component in the power system, the distribution automation equipment will cause major economic losses to the power system if it fails. Based on the digital twin technology, this paper realizes the functions of information interaction, fault prediction, and early maintenance between the distribution automation terminal equipment and the distribution master station. The status evaluation comment set, the evaluation weight and the fault set are constructed and corrected in real time in the digital twin system through statistical analysis of the historical data and fault handling information collected byat the distribution automation terminals in a certain area. At the same time, an intelligent state evaluation and failure prediction model is built to provide a reference for the real-time monitoring of the state of distribution automation terminal equipment and a guidance for the distribution network operation and maintenance. © 2022, Power System Technology Press. All right reserved.

引用

页码：1605 / 1613

页数：8

共 27 条

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