Energies (Jul 2023)

Research on the Collaborative Optimization of the Power Distribution Network and Traffic Network Based on Dynamic Traffic Allocation

  • Baoqun Zhang,
  • Cheng Gong,
  • Yan Wang,
  • Longfei Ma,
  • Dongying Zhang,
  • Shiwei Xia

DOI
https://doi.org/10.3390/en16145259
Journal volume & issue
Vol. 16, no. 14
p. 5259

Abstract

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With the increasing penetration rate of electric vehicles, the spatiotemporal coupling relationship between the power distribution network and traffic network is stronger than ever before. Under the dynamic wireless charging mode, traffic jam charging is introduced and the dynamic loading process of traffic flow is described using a cellular transmission model. The charging load is related to traffic flow and serves as a bond between the power distribution network and traffic network. The traffic flow achieves balanced allocation under dynamic user equilibrium conditions, and cooperatively optimizes the power flow of the power distribution network in conjunction with charging loads. Numerical analysis shows that this model can accurately depict the congestion situation during peak travel periods, and alleviate traffic congestion and distribution network voltage out of range.

Keywords