Collaborative Optimization Method of Power Distribution Network and Urban Transportation Network: A Review

Shijie Yang, Yuhua Du, Lei Wang, Zelong Zhang, Yigeng Huangfu, Zhipeng Li

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The over-reliance on fossil energy sources has resulted in massive greenhouse gas emissions. Research on the utilization of renewable energy has been widely encouraged. However, the extensive application of distributed renewable energy (DER) brings much operating pressure to the power distribution network (PDN). Meanwhile, the rapid development of electric vehicles (EVs) brings additional charging demand to PDN as well as traffic flows to urban transportation network (UTN). This paper reviews the optimization methods of PDN and regulation methods of UTN, and introduces a management structure named distribution-transportation coordinated network (DTN) that could be used to optimize PDN and UTN collaboratively. Under this structure, the DER generations in PDN could be consumed locally by EVs in UTN, which promotes the operating efficiency of PDN; on the other hand, optimized allocations of DERs in PDN could in turn improve the traffic flow of UTN. In the future, as hydrogen technology becomes more mature, this method would play a greater role in the onsite consumption of renewable energy.

Original languageEnglish
Title of host publication2024 IEEE 19th Conference on Industrial Electronics and Applications, ICIEA 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350360868
DOIs
StatePublished - 2024
Event19th IEEE Conference on Industrial Electronics and Applications, ICIEA 2024 - Kristiansand, Norway
Duration: 5 Aug 20248 Aug 2024

Publication series

Name2024 IEEE 19th Conference on Industrial Electronics and Applications, ICIEA 2024

Conference

Conference19th IEEE Conference on Industrial Electronics and Applications, ICIEA 2024
Country/TerritoryNorway
CityKristiansand
Period5/08/248/08/24

Keywords

  • electric vehicle
  • onsite consumption
  • power distribution network
  • renewable energy
  • urban transportation network

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