Digital Twin Technology for Smart Grid

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The traditional power grid has been revolutionized in recent years, and its different domains are improving to form a new smart grid. To better understand smart electricity grid and recommend how its domains function best, a comprehensive look at the power system in parallel with digitalization revolution is required. Recent digital twin (DT) technology promises to enhance industries, including smart grids, and this book studies DT architecture and its applications and benefits. Coverage includes DT solutions for smart grid domains and subsystems and describes advantages of employing DT in the smart grid. The book's concept is based on merging DT technology with smart grid applications. Its structure follows an understanding of DT concepts and applications in smart grid domains.

Digital Twin Technology for Smart Power Grid will be a valuable reference for power industry practitioners, researchers, and students. It explains the new digital twin technology and how it can enhance the current electricity system toward a smarter power grid.

Explains digital twin technology Includes a view of digital twin pros and cons for industry Explores and describes digital twin solutions for smart power grid applications

Autorentext

Sabrieh Choobkar, Ph.D., is an Assistant Professor at Niroo Research Institute (NRI). She received her Ph.D. from King's College, London, in 2015. Dr. Choobkar's research interests include communication studies in smart grid domains, digital twin applications, microgrids, and the industrial internet of things (IIoT).

Dr. Seyed Mohsen Hashemi Ph.D., is an Assistant Professor at Niroo Research Institute (NRI). He received his Ph.D.in Electrical and Electronics Engineering from Shahid Beheshti University, in 2019. His research interests include smart grids, power markets, and energy planning.


Inhalt

Digital Twin Overview.- Digital Twin in Industry.- Digital Twin Solutions for Smart Grid Applications.- Industrial Experience.- Conclusion.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783031900983
    • Lesemotiv Verstehen
    • Genre Thermal Engineering
    • Sprache Englisch
    • Anzahl Seiten 53
    • Herausgeber Springer
    • Größe H4mm x B155mm x T235mm
    • Jahr 2025
    • EAN 9783031900983
    • Format Kartonierter Einband
    • ISBN 978-3-031-90098-3
    • Titel Digital Twin Technology for Smart Grid
    • Autor Sabrieh Choobkar , Seyed Mohsen Hashemi
    • Untertitel SpringerBriefs in Energy - Computational Modeling of Energy Systems
    • Gewicht 119g

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