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Robust Operation of Flexible Distribution Network With Large-Scale EV Charging Loads

  • Jinli Zhao
  • , Jiahui Qu
  • , Haoran Ji*
  • , Jing Xu
  • , Hany M. Hasanien
  • , Rania A. Turky
  • , Peng Li
  • *Corresponding author for this work
  • Tianjin University
  • State Grid Tianjin Electric Power Company
  • Ain Shams University
  • Future University in Egypt

Research output: Contribution to journalArticlepeer-review

Abstract

The increasing integration of electric vehicles (EVs) significantly challenges the efficient operation of distribution networks. With the rapid development of power electronic devices represented by soft open point (SOP), flexible distribution networks (FDNs) provide a promising opportunity for integrating large-scale EVs. In this article, a robust operation method is proposed to improve the economy of EVs and ensure the flexible operation of FDN. First, an EVs-aggregator (EVs-AGG) model is formulated to incorporate diverse charging behaviors. The EVs-AGG is efficiently integrated into FDN through the dc link of multiterminal SOP. Then, optimal operation strategies are obtained by coordinating EVs charging/discharging power with the regulation of multiterminal SOP. Furthermore, considering the uncertainties of EVs and photovoltaics, a robust operation framework is established to deal with uncertainties. Finally, case studies based on a practical distribution network indicate that through the interactive power regulation between multiterminal SOP and EVs-AGG, the proposed method alleviates the negative impacts caused by large-scale EVs integration and improves the operational flexibility of FDN.

Original languageEnglish
Pages (from-to)2207-2219
Number of pages13
JournalIEEE Transactions on Transportation Electrification
Volume10
Issue number1
DOIs
Publication statusPublished - 1 Mar 2024
Externally publishedYes

Keywords

  • Distributionally robust optimization (DRO)
  • electric vehicles (EVs)
  • flexible distribution network (FDN)
  • multiterminal soft open point (SOP)
  • uncertainty

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