贺兴;艾芊;朱天怡;邱才明;张东霞;

• 1:大数据工程技术与人工智能研究中心(上海交通大学)
• 2:中国电力科学研究院有限公司

摘要(Abstract)：

电力数字孪生系统(digitaltwinofpowersystems,PSDT)旨在充分利用电力物联网所承载的数据流,通过实时态势感知、超实时虚拟推演2种手段来认知电力系统继而辅助电网运管调控的决策制定。不同于现行的仿真软件,PSDT具备数据驱动、实时交互和闭环反馈3大特点。围绕上述2种手段和3大特点,从工程和科学2个视角剖析了PSDT提出的背景和目的,并阐述了其建设的思路和特色,进一步设计了PSDT的实现框架并探究了其建设所面临的关键问题和核心技术。最后,阐明了PSDT在电力系统多个领域的应用现状与前景。文中的工作也是数字孪生(digitaltwin,DT)在电力领域的早期系统性探索,其研究一方面可为电力物联网的建设提供借鉴;另一方面,也会推动DT技术和数据科学在工程中的应用。

关键词(KeyWords)： 数字孪生;数据驱动;认知;大数据分析;建模

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金项目(51907121)~~

作者(Author): 贺兴;艾芊;朱天怡;邱才明;张东霞;

Email:

DOI: 10.13335/j.1000-3673.pst.2019.1983

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