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

Authors :
Baoqun Zhang
Cheng Gong
Yan Wang
Longfei Ma
Dongying Zhang
Shiwei Xia
Source :
Energies, Vol 16, Iss 14, p 5259 (2023)
Publication Year :
2023
Publisher :
MDPI AG, 2023.

Abstract

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.

Details

Language :
English
ISSN :
16145259 and 19961073
Volume :
16
Issue :
14
Database :
Directory of Open Access Journals
Journal :
Energies
Publication Type :
Academic Journal
Accession number :
edsdoj.25b496edfdd949a2a6fd6577b0f9b841
Document Type :
article
Full Text :
https://doi.org/10.3390/en16145259