Application of Digital Twin Technology in Intelligent Operation and Maintenance of Converter Station

CHEN Yuhui; FU Tianren; LIN Dan

doi:10.13296/j.1001-1609.hva.2025.06.025

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Application of Digital Twin Technology in Intelligent Operation and Maintenance of Converter Station

Technical Discussion | 更新时间：2025-06-12

- Application of Digital Twin Technology in Intelligent Operation and Maintenance of Converter Station
- High Voltage Apparatus Vol. 61, Issue 6, Pages: 219-227(2025)
- 作者机构：
  
  广东电网有限责任公司广州供电局，广州　 510620
- 作者简介：
- 基金信息：
- DOI：10.13296/j.1001-1609.hva.2025.06.025
  CLC：
- Received：19 November 2024，
  
  Revised：01 March 2025，
  
  Published：16 June 2025
- 稿件说明：
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CHEN Yuhui, FU Tianren, LIN Dan. Application of Digital Twin Technology in Intelligent Operation and Maintenance of Converter Station[J]. High voltage apparatus, 2025, 61(6): 219-227.
DOI：

CHEN Yuhui, FU Tianren, LIN Dan. Application of Digital Twin Technology in Intelligent Operation and Maintenance of Converter Station[J]. High voltage apparatus, 2025, 61(6): 219-227. DOI： 10.13296/j.1001-1609.hva.2025.06.025.

摘要

随着电力系统数字化转型的逐步推进，数字孪生技术在电力系统中多领域得到了应用。文中阐述了通过三维映射设备本体及其运行数据的高度融合，数字孪生技术充分挖掘现有数据价值，搭建了换流站智能运维多业务场景应用平台，实现了换流站运维业务全流程数字化闭环管控。文中分析了数字孪生技术在智能运维方面的多项显著优势，旨在提升运维效能，降低潜在故障风险，优化资源利用，提供更准确的风险预警和决策支持，进而起到提质增效目的，提高了电网的运行可靠性。

Abstract

With the gradual promotion of digital transformation of the power system

the digital twin technology has been applied in multiple fields of the power system. The paper describes how digital twin technology fully exploits the value of existing data through highly integrated 3D mapping equipment ontology and its operational data

builds a multi-service application platform for intelligent operation and maintenance of converter stations

and realizes the full-process digital closed-loop control of converter station operation and maintenance business. Moreover

a number of significant advantages of the digital twin technology in intelligent operation and maintenance is analyzed in this paper with the aim of improving operation and maintenance efficiency

reducing the risk of potential failure

optimizing the usage of resources

providing more accurately risk early warning and decision support

thereby improving the quality and efficiency as well as increasing reliable operation of power system.

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