数字孪生及其在未来电力系统中的应用

Digital Twin Pub Date : 2021-09-22 DOI:10.12688/digitaltwin.17435.1

P. Palensky, M. Cvetković, D. Gusain, Arun Joseph

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引用次数: 34

摘要

电力行业是较晚采用数字孪生和循环模式进行运营的行业之一。本文首先回顾了这种数字孪生的历史、基本特性和变体，以及它们与电力系统的关系。其次，首先解释了数字孪生概念在电力和能源业务中的应用。研究表明，在此过程中，跨学科性、不同的时间尺度和所需模型的异质性是主要挑战，而联合模拟和联合建模可以提供帮助。本文将帮助电力系统专业人员进入数字孪生领域，并了解如何在其业务中使用它们。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Digital twins and their use in future power systems

The electric power sector is one of the later sectors in adopting digital twins and models in the loop for its operations. This article firstly reviews the history, the fundamental properties, and the variants of such digital twins and how they relate to the power system. Secondly, first applications of the digital twin concept in the power and energy business are explained. It is shown that the trans-disciplinarity, the different time scales, and the heterogeneity of the required models are the main challenges in this process and that co-simulation and co-modeling can help. This article will help power system professionals to enter the field of digital twins and to learn how they can be used in their business.

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Digital Twin digital twin technologies-

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期刊介绍： Digital Twin is a rapid multidisciplinary open access publishing platform for state-of-the-art, basic, scientific and applied research on digital twin technologies. Digital Twin covers all areas related digital twin technologies, including broad fields such as smart manufacturing, civil and industrial engineering, healthcare, agriculture, and many others. The platform is open to submissions from researchers, practitioners and experts, and all articles will benefit from open peer review.  The aim of Digital Twin is to advance the state-of-the-art in digital twin research and encourage innovation by highlighting efficient, robust and sustainable multidisciplinary applications across a variety of fields. Challenges can be addressed using theoretical, methodological, and technological approaches. The scope of Digital Twin includes, but is not limited to, the following areas:  ● Digital twin concepts, architecture, and frameworks ● Digital twin theory and method ● Digital twin key technologies and tools ● Digital twin applications and case studies ● Digital twin implementation ● Digital twin services ● Digital twin security ● Digital twin standards Digital twin also focuses on applications within and across broad sectors including: ● Smart manufacturing ● Aviation and aerospace ● Smart cities and construction ● Healthcare and medicine ● Robotics ● Shipping, vehicles and railways ● Industrial engineering and engineering management ● Agriculture ● Mining ● Power, energy and environment Digital Twin features a range of article types including research articles, case studies, method articles, study protocols, software tools, systematic reviews, data notes, brief reports, and opinion articles.