基于用户驾驶行为特性的电动汽车有序充电策略

Translated title of the contribution: Ordered charging strategy of electric vehicles based on users' driving behavior
  • Su Su
  • , Ziqi Liu
  • , Shidan Wang
  • , Tiantian Yang
  • , Yong Hu
  • , Renzun Zhang
  • , Yujing Li

Research output: Contribution to journalArticlepeer-review

21 Citations (Scopus)

Abstract

Electric vehicle users are focused on the convenience of charging, which may cause some problems for power grid at the same time. So how to take both users' convenience and security of power grid into account is an urgent problem to be solved. Aiming at this problem, an ordered charging strategy of electric vehicles based on users' driving behavior is proposed. The principal component analysis and fuzzy clustering algorithm are used to study the electric vehicle users' driving behavior and predict the driving distance, based on which to calculate the charging power of each charging process and to dispatch the electric vehicles according to the load curves of local distribution network. By simulating electric vehicle users' driving behavior, the load curves of distribution network when electric vehicle disordered charging and ordered charging with different user response rates are analyzed and compared, whose results show that the proposed strategy can reduce the peak valley of distribution network load effectively and can increase the electric vehicle users' motivation to ordered charging.

Translated title of the contributionOrdered charging strategy of electric vehicles based on users' driving behavior
Original languageChinese (Traditional)
Pages (from-to)63-71
Number of pages9
JournalDianli Zidonghua Shebei/Electric Power Automation Equipment
Volume38
Issue number3
DOIs
Publication statusPublished - 10 Mar 2018

Keywords

  • Driving behavior
  • Driving distance prediction
  • Electric vehicles
  • Fuzzy clustering
  • Ordered charging
  • Principal component analysis

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