高电压技术2026，Vol.52Issue(4)：1501-1517,17.DOI:10.13336/j.1003-6520.hve.20251291
面向电力设备智慧运维的数字孪生关键技术研究现状与展望
Research Status and Prospects of Digital Twin Key Technologies for Intelligent Operation and Maintenance of Power Equipment
摘要
Abstract
A power system comprises five major segments as follows:generation,transmission,transformation,distribu-tion,and consumption,involving a wide variety and large quantity of equipment.Intelligent operation and maintenance(IOM)is therefore essential to ensuring the system's safe and stable operation.As an emerging technology,digital twin can provide strong supports for IOM of power equipment.This paper first analyzes the business requirements of IOM and reviews the relevant concepts,characteristics,and application framework of digital twins.Then,this paper systematically reviews the research status of six key technologies,including multi-dimensional sensing of equipment operating states,real-time data transmission and cyber-physical interaction,twin data storage and preprocessing,twin model construction and lightweighting,digital twin-driven IOM services,and digital-twin maturity assessment.On this basis,a refined appli-cation architecture and a maturity assessment system are proposed.Finally,by taking gas insulated switchgear(GIS)operation and maintenance as a case study,the proposed framework is validated,and the major challenges and future re-search directions of digital twins for IOM of power equipment are systematically summarized.关键词
电力设备/智慧运维/数字孪生/孪生特征/应用框架/成熟度评价Key words
power equipment/intelligent operation and maintenance/digital twin/twin attributes/application framework/maturity assessment引用本文复制引用
齐冬莲,李启,陈毅,郭炳延,刘夏雨,闫云凤..面向电力设备智慧运维的数字孪生关键技术研究现状与展望[J].高电压技术,2026,52(4):1501-1517,17.基金项目
浙江省科技计划(2025C01058 （）
2022C01056).Project supported by Science and Technology Project of Zhejiang Province(2025C01058,2022C01056). （2025C01058,2022C01056）
