Charging coordination of Plug-In electric vehicles in distribution networks with capacity constrained feeder lines

Zhongjing Ma*, Nan Yang, Suli Zou, Yunfeng Shao

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

35 Citations (Scopus)

Abstract

We study the charging control of plug-in electric vehicles in distribution networks with capacity constrained feeder lines. It is usually challenging to design an effective decentralized method to implement the optimal solution for the formulated constrained optimization problems due to the coupling relationship of charging behaviors on the constrained distribution network system. Alternatively, in this brief, in order to avoid possible overloading on the feeder lines, we propose a gradient projection-based decentralized method such that the step size is properly adjusted. We show that by applying the proposed method, the system converges and the implemented solution satisfies the capacity constraints of feeder lines. Simulation results show that the proposed method can effectively avoid possible overloads on the feeder lines in distribution networks.

Original languageEnglish
Article number8004523
Pages (from-to)1917-1924
Number of pages8
JournalIEEE Transactions on Control Systems Technology
Volume26
Issue number5
DOIs
Publication statusPublished - Sept 2018

Keywords

  • Capacity constraints of feeder lines
  • constrained optimization problem
  • decentralized coordination method
  • distribution network
  • gradient projection method
  • plug-in electric vehicles (PEVs)

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