Key Technologies for Health Management and Intelligent Operation and Maintenance of Power Equipment in New Power Systems

被引：0
|
作者：
Li X. [1 ]
Tian F. [1 ]
Guo Y. [1 ]
机构：
[1] College of Electrical Engineering, Beijing Jiaotong University, Haidian District, Beijing
来源：
Dianwang Jishu/Power System Technology | 2023年 / 47卷 / 09期
关键词：
condition assessment; failure warning; health management; intelligent operation and maintenance; new power system; power equipment;
D O I：
10.13335/j.1000-3673.pst.2022.2451
中图分类号：
学科分类号：
摘要：
In order to ensure the safe and reliable operation of the new power system dominated by new energy and improve the early warning capability of the power equipment defects, it is urgent to carry out the digital and intelligent transformation of the health management and the operation and maintenance mode of the power equipment. Therefore, a new architecture of the health management and the intelligent operation and maintenance of the power equipment is constructed under the background of a new power system. The content and technology involved in it are described in detail, including the edge cloud collaboration technology, the digital twin model construction technology, the knowledge map construction technology and its typical applications. Then, the key methods to realize the state assessment, the fault early warning and the intelligent operation and maintenance of the electric power equipment are clarified based on the existing research work. The problems that need to be solved are expounded and explored accordingly. Finally, the development trend of the health management and the intelligent operation and maintenance of the power equipment in the future is expected. © 2023 Power System Technology Press. All rights reserved.
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页码：3710 / 3726
页数：16
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