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Digital Twin-Based Forecasting Framework for Power Transmission Management
  • +2
  • Kerry Sado,
  • Jarrett Peskar,
  • Austin Downey,
  • Jamil Khan,
  • Kristen Booth
Kerry Sado
Dept. of Electrical Engineering, University of South Carolina, Columbia, USA

Corresponding Author:[email protected]

Author Profile
Jarrett Peskar
Dept. of Mechanical Engineering, University of South Carolina, Columbia, USA
Austin Downey
Dept. of Mechanical Engineering, Dept. of Civil and Environmental Engineering, University of South Carolina, Columbia, USA
Jamil Khan
Dept. of Mechanical Engineering, Dept. of Civil and Environmental Engineering, University of South Carolina, Columbia, USA
Kristen Booth
Dept. of Electrical Engineering, University of South Carolina, Columbia, USA

Abstract

Detailed design requirements and foundational assumptions for forecasting digital twins in the context of power systems are explored and used in real-time forecasting in this study. Experimental validation of the forecasting methodology is demonstrated via an electro-thermal digital twin of power distribution cables for onboard power systems. The digital twin has the capability to forecast the thermal profile of cables by utilizing sensor measurements from the physical twin. When the predicted temperature reaches specific thresholds, the digital twin informs a decision maker to proactively adjust the power flow within the system to prepare for and avoid upcoming thermal constraints in the cable. This adjustment ensures that the physical cable does not reach specific thermal constraints, thereby enhancing system reliability. This proactive management will be essential to ensuring mission-critical power demand and avoiding load shedding. The concept has been experimentally verified using a three-bus configuration. The developed digital twin is computationally efficient, forecasting only when necessary, and offering an adjustable forecasting time-frame to accommodate a variety of operational scenarios.
31 Jan 2024Submitted to TechRxiv
05 Feb 2024Published in TechRxiv