Scientific Results

  • ID:
    publications-5151
  • Type:
    Conference paper
  • Year:
    2023
  • Authors:
    Mori J.; Saito Y.; Kaji H.
  • Title:
    Study on Reduced-Order Modeling Technique of Three-Phase Voltage Imbalance Model
  • Venue/Journal:
    2023 62nd Annual Conference of the Society of Instrument and Control Engineers, SICE 2023
  • DOI:
    10.23919/SICE59929.2023.10354199
  • Research type:
  • Water System:
  • Technical Focus:
  • Abstract:
    When using digital twins to create a simulation in the cyber space, their plant models must sequentially predict physical phenomena such as energy and water. However, increase in calculation costs renders their execution in real time challenging in case of a large scale, and they must be executed with high accuracy. Employing the mainstream technique of reducing the computational cost involves data-driven modeling, which suffers limited extrapolation accuracy as it does not have a physical structure. This study derived the simultaneous physical equations of the microgrid electric power network for three-phase voltage imbalance of AC electric power. Further, simulations were performed based on the equations. Using this power network model, we demonstrated that reduced-order modeling techniques with physical structure can offer better accuracy than models without a physical structure. Β© 2023 Society of Instrument and Control Engineers - SICE.
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