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Digital Twin for Smart Grid: A Survey

Authors: Xu, Jiachen; Li, Yushuai; Zhang, Xiaoyu; Guan, Peiyuan; Zhang, Shiliang; Li, Tianyi;

Digital Twin for Smart Grid: A Survey

Abstract

The synthesis of digital twin (DT) technology into smart grid systems has emerged as a promising approach for enhancing operational efficiency, reliability, and resilience in en-ergy management. DTs offer a virtual representation of physical assets and processes, enabling real-time monitoring, predictive analytics, optimization, and control. This survey paper provides an overview of the recent advances in designing DTs to upgrade the smart grid. We mainly focus on aspects of DT concept, DT empowered economic dispatch, DT empowered prediction and diagnosis, and DT empowered frequency and voltage regulations. Finally, we pinpoint potential challenges and conclude this paper.

Country
Denmark
Keywords

Resilience, Economics, Smart grids, Surveys, Reliability, Digital twins, Digital twin, Electric potential, Voltage control, Process control, survey, smart grid, energy systems, Real-time systems

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Related to Research communities
Energy Research