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

QI Donglian; LI Qi; CHEN Yi; GUO Bingyan; LIU Xiayu; YAN Yunfeng

doi:10.13336/j.1003-6520.hve.20251291

English Version Journal Login

您当前的位置：

首页 >

文章列表页 >

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

更新时间：2026-09-16

- 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
- Vol. 52, Issue 4, Pages: 1501-1517(2026)
- 作者机构：
  
  1. 浙江大学电气工程学院,杭州,310027
  2. 浙江大学海洋学院,舟山,316021
- 作者简介：
- 基金信息：
- DOI：10.13336/j.1003-6520.hve.20251291
  CLC：
- Received：30 April 2026，
  
  Published：2026
- 稿件说明：
移动端阅览
QI Donglian, LI Qi, CHEN Yi, et al. 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]. 2026, 52(4): 1501-1517.
DOI：

QI Donglian, LI Qi, CHEN Yi, et al. 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]. 2026, 52(4): 1501-1517. DOI： 10.13336/j.1003-6520.hve.20251291.

摘要

电力系统涵盖发、输、变、配、用5大环节，涉及设备种类及数量众多，其智慧运维对保障系统安全稳定运行至关重要。数字孪生技术作为新兴技术手段，可为电力设备智慧运维提供重要支撑。该文首先分析电力设备智慧运维业务需求，梳理电力设备智慧运维数字孪生相关概念、特征及应用框架。然后，系统性阐述6大关键技术的研究现状，包括电力设备运行状态多维感知、数据实时传输与虚实交互、孪生数据存储与预处理、孪生模型构建及轻量化、孪生智慧运维服务及孪生体成熟度评价技术，并提炼了细化的孪生系统应用架构及成熟度评价体系。最后，以全封闭式气体绝缘开关(gas insulated switchgear，GIS)设备运维为例开展应用验证，并归纳总结了当前电力设备智慧运维数字孪生面临的主要挑战和未来研究重点方向。

Abstract

A power system comprises five major segments as follows: generation

transmission

transformation

distribution

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 application 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 research directions of digital twins for IOM of power equipment are systematically summarized.

关键词

Keywords

references

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Key Technologies and Application Prospects for Operation and Maintenance of Power Equipment in New Type Power System

基于数字孪生的GIS双断口隔离开关温升快速预测方法

电力设备数智化发展历程与大语言模型智能体应用展望

基于改进注意力机制与对比学习的电力设备缺陷图文融合分类方法

联合剪枝和知识蒸馏的配电线路设备部件检测方法

Related Author

SHENG Gehao

QIAN Yong

LUO Lingen

SONG Hui

LIU Yadong

JIANG Xiuchen

WANG Lijun

HUANG Jinlin

Related Institution

School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University

电工材料电气绝缘全国重点实验室(西安交通大学)

China Southern Power Grid Digital Grid Research Institute Co., Ltd.

State Key Laboratory of Power System Operation and Control, Department of Electrical Engineering, Tsinghua University

College of Electrical and Control Engineering, Liaoning Technical University

AI问答

⁰