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能源互联网中的数字孪生技术体系、应用与挑战

刘曌 孙庆凯 许泽凯 吴潇雨 王小君 吕金玲

中国电力2024,Vol.57Issue(1):230-243,14.
中国电力2024,Vol.57Issue(1):230-243,14.DOI:10.11930/j.issn.1004-9649.202303037

能源互联网中的数字孪生技术体系、应用与挑战

System,Applications and Challenges of Digital Twin Technology in Energy Internet

刘曌 1孙庆凯 1许泽凯 1吴潇雨 2王小君 1吕金玲1

作者信息

  • 1. 北京交通大学电气工程学院,北京 100044
  • 2. 国网能源研究院有限公司,北京 102209
  • 折叠

摘要

Abstract

With the gradual upgrading and transformation of traditional energy interconnection system to energy Internet,it is difficult to describe its high dimensionality,nonlinear and multi energy coupling characteristics if only based on the mechanism modeling method.Digital twin technology can accurately map the real system to the virtual space,which is of great significance to the realization of the feature description,operation analysis,monitoring optimization and intelligent decision-making of the energy Internet.Firstly,from the development of digital twin technology,an analysis is made on the digital twin technology system in the energy Internet,and a hierarchical technology system framework is proposed,which covers"multi-source data acquisition-model building-platform support-intelligent interaction"and the application value of digital twin technology in the energy Internet is elaborated.Secondly,the typical applications of the digital twin technology in energy Internet and the current development bottleneck are introduced in detail.Finally,the development route of the digital twin technology in energy internet is summarized and envisaged.

关键词

能源互联网/数字孪生/技术框架/典型应用/难点与展望

Key words

energy Internet/digital twin/technology framework/typical application/difficulties and prospects

引用本文复制引用

刘曌,孙庆凯,许泽凯,吴潇雨,王小君,吕金玲..能源互联网中的数字孪生技术体系、应用与挑战[J].中国电力,2024,57(1):230-243,14.

基金项目

国家自然科学基金面上资助项目(基于群智进化的分布式能源系统群演化模型与优化引导方法,51977005).This work is supported by General Program of National Natural Science Foundation of China(Research on Evolutionary Model and Optimization Method of Distributed Energy System Group Based on Agents Group Evolution,No.51977005). (基于群智进化的分布式能源系统群演化模型与优化引导方法,51977005)

中国电力

OA北大核心CSTPCD

1004-9649

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