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An optimized EV charging model considering TOU price and SOC curve

  • Yijia Cao
  • , Shengwei Tang
  • , Canbing Li
  • , Peng Zhang
  • , Yi Tan
  • , Zhikun Zhang
  • , Junxiong Li
  • Hunan University

Research output: Contribution to journalArticlepeer-review

696 Scopus citations

Abstract

Large-scale deployment of electric vehicles (EVs) is anticipated in the foreseeable future. Heavy intermittent charging load of EVs will create bottlenecks in supplying capacity and expose power system to severe security risks. In this paper, we propose an intelligent method to control EV charging loads in response to time-of-use (TOU) price in a regulated market. First, an optimized charging model is formulated to minimize the charging cost. Then, a heuristic method is implemented to minimize the charging cost considering the relation between the acceptable charging power of EV battery and the state of charge (SOC). Finally, the charging cost and energy demand in different time intervals are compared for both typical charging pattern and optimized charging pattern. Results show that the optimized charging pattern has great benefit in reducing cost and flatting the load curve if the peak and valley time periods are partitioned appropriately.

Original languageEnglish
Article number5978239
Pages (from-to)388-393
Number of pages6
JournalIEEE Transactions on Smart Grid
Volume3
Issue number1
DOIs
StatePublished - Mar 2012

Keywords

  • Charging facility
  • charging load
  • electric vehicle
  • state of charge
  • time-of-use price

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