13 / 2020-09-23 17:32:17
Relationship between Power Flow Transferring and Path Length using Graph Theory
Power flow, power transferring, complex network, the shortest path
Final Paper
Jiawei Yu / Huazhong University of Science and Technology
Ziqian Yang / Huazhong University of Science and Technology
Meng Zhan / Huazhong University of Science and Technology
Unexpected power changes may lead to transmission line overload and even evolve into cascading breakout. To avoid this, the key is to analyze how the power flow transfers after disturbance. When the scale of the system is large, the accurate calculation of power flow transferring will require a lot of calculation and become more difficult. From the perspective of complex network, we build a bridge between path length and power correlation rate. The former is an inherent property of the network, and the latter is an electrical quantity for a specific power disturbance. We find that power, similar to liquids, tends to flow along the fast-moving path, that is, the path with short path length. Finally, the results are verified in radial and ring network respectively. It is hoped that this will provide an intuitive understanding for power system operators.
Important Date
  • Conference Date

    Nov 02

    2020

    to

    Nov 04

    2020

  • Oct 27 2020

    Draft paper submission deadline

  • Nov 03 2020

    Contribution Submission Deadline

  • Nov 04 2020

    Registration deadline

  • Nov 17 2020

    Final Paper Deadline

Sponsored By
IEEE IAS Student Chapter of Huazhong University of Science and Technology (HUST)
Organized By
Huazhong University of Science and Technology
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