李旭斌, 田付强, 郭亦可. 新型电力系统中电力设备健康管理与智能运维关键技术探究[J]. 电网技术, 2023, 47(9): 3710-3726. DOI: 10.13335/j.1000-3673.pst.2022.2451
引用本文: 李旭斌, 田付强, 郭亦可. 新型电力系统中电力设备健康管理与智能运维关键技术探究[J]. 电网技术, 2023, 47(9): 3710-3726. DOI: 10.13335/j.1000-3673.pst.2022.2451
LI Xubin, TIAN Fuqiang, GUO Yike. Key Technologies for Health Management and Intelligent Operation and Maintenance of Power Equipment in New Power Systems[J]. Power System Technology, 2023, 47(9): 3710-3726. DOI: 10.13335/j.1000-3673.pst.2022.2451
Citation: LI Xubin, TIAN Fuqiang, GUO Yike. Key Technologies for Health Management and Intelligent Operation and Maintenance of Power Equipment in New Power Systems[J]. Power System Technology, 2023, 47(9): 3710-3726. DOI: 10.13335/j.1000-3673.pst.2022.2451

新型电力系统中电力设备健康管理与智能运维关键技术探究

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

  • 摘要: 为保证以新能源为主的新型电力系统的安全可靠运行,提高电力设备的缺陷预警能力,对电力设备的健康管理和运维模式进行数字化和智能化的转型迫在眉睫。因此,在新型电力系统背景下,首先构建了电力设备新型的健康管理和智能运维体系架构,并对涉及其中的内容和技术进行了详细的阐述,包括边云协同技术、数字孪生模型的构建技术和知识图谱的构建技术及其典型应用。然后,基于现有的研究工作,明确了实现电力设备状态评估、故障预警和智能运维的关键方法,并对其中还需解决的问题进行了相应的阐述和探究,最后对未来实现电力设备健康管理和智能运维的发展趋势进行了展望。

     

    Abstract: 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.

     

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