IET Generation, Transmission & Distribution (Jan 2023)

Digital twin‐based online tools for electric power communication system training: Online digital twin power communication system

  • Shiqi Guan,
  • Wenshan Hu,
  • Zhongcheng Lei,
  • Hong Zhou

DOI
https://doi.org/10.1049/gtd2.12670
Journal volume & issue
Vol. 17, no. 1
pp. 146 – 160

Abstract

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Abstract Electric power information has garnered particular interest in conventional electrical power systems because it plays a crucial role in the electric power industry. Additionally, electric power communication networks ensure the overall power system's reliability and safety. The concepts and techniques used in digital twin (DT)‐based online tools for electric power communication networks are introduced in this paper. Moreover, online DT tools are proposed as daily learning and training resources for both new staff and communication commissioners, which can be used for the internet and the company intranets. Users can control DT and physical equipment simultaneously, and device status can be seen in real time. The design, modelling, control principles, data collection, and visual display of the DT tools are all covered in this study. To validate the applicability of the proposed framework, a case study for optical fibre damage and the recovery process in a typical communication interruption malfunction is investigated. The research presented in this paper has the potential to provide useful tools and new paradigms for designing online DT training and education systems.

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