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Digital Twin Development of a Testing Grid using a Grid Analyzer

  • The recent transformation of the energy sector brings new challenges in areas such as supply security, efficiency, and reliability. Especially the increase of decentralized power plants leads to a more complex energy system and an increasing complexity. This requires expansion and digitization of the power grid as well as an initiative-taking operation of the grid operator. To investigate such complex systems and its phenomena, modern development methods such as real-time simulation or digital twins (DT) can be used. In this approach a digital replica of the real-world system, a grid section, is developed, which can represent or predict the behavior of the real distribution grid. For this, a model of the real-world system is derived and implemented in a co-simulation environment, in which it receives data via an analyzer or measurement system from the grid model. This paper focuses on the development of the digital twin of a testing grid and a grid analyzer for the measurement. With the digital twin of the testing grid, a first approach is achieved in a real-time capable environment showing the functionalities and interactions of a digital twin. Subsequently the development of the digital twin model is explained, and the results are discussed.

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Metadaten
Document Type:Article
Language:English
Author:Derk Gonschor, Jonas Steffen, Juan Alvaro Montoya Perez, Christian Bendfeld, Detlef Naundorf, Philipp Kost, Christian Aigner, Florian Füllgraf, Ron Brandl, Marco Jung
Parent Title (English):IEEE Open Journal of Power Electronics
Volume:5
First Page:1197
Last Page:1208
ISSN:2644-1314
URN:urn:nbn:de:hbz:1044-opus-85401
DOI:https://doi.org/10.1109/OJPEL.2024.3436510
Publisher:IEEE
Publishing Institution:Hochschule Bonn-Rhein-Sieg
Date of first publication:2024/08/02
Copyright:© 2024 The Authors. This work is licensed under a Creative Commons Attribution 4.0 License.
Funding:The authors would like to thank the German Federal Ministry for Economic Affairs and Climate Action as well as the Project Coordinator Jülich for funding the research project CoMap (support code 03EI6080B) leading to this article.
Keyword:Digital Twin; Power system simulation; Power system state estimation; Real time systems; Signal analysis,Power system measurements
Departments, institutes and facilities:Fachbereich Ingenieurwissenschaften und Kommunikation
Institut für Technik, Ressourcenschonung und Energieeffizienz (TREE)
Dewey Decimal Classification (DDC):5 Naturwissenschaften und Mathematik / 53 Physik / 537 Elektrizität, Elektronik
Entry in this database:2024/08/09
Licence (German):License LogoCreative Commons - CC BY - Namensnennung 4.0 International