• DocumentCode
    2740650
  • Title

    Deadline scheduling for large scale charging of electric vehicles with renewable energy

  • Author

    Chen, Shiyao ; Ji, Yuting ; Tong, Lang

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Cornell Univ., Ithaca, NY, USA
  • fYear
    2012
  • fDate
    17-20 June 2012
  • Firstpage
    13
  • Lastpage
    16
  • Abstract
    The problem of scheduling for the large scale charging of electric vehicles with renewable sources is considered. A new online charging algorithm referred to as Threshold Admission with Greedy Scheduling (TAGS) is proposed by formulating the charging problem as one of deadline scheduling with admission control and variable charging capacities. TAGS has low computation cost and requires no prior knowledge on the distributions of arrival traffic, battery charging (service) time, and available energy from renewable sources. It has a reserve dispatch algorithm designed to compensate the intermittency of renewable sources. Performance of TAGS is compared with benchmark scheduling algorithms such as the Earliest Deadline First (EDF) and the First Come First Serve (FCFS) with aggressive and conservative reserve dispatch algorithms.
  • Keywords
    battery powered vehicles; greedy algorithms; hybrid electric vehicles; load dispatching; renewable energy sources; scheduling; EDF; EV-PHEV charging; FCFS; TAGS; admission control; aggressive reserve dispatch algorithm; arrival traffic distributions; battery charging time; benchmark scheduling algorithms; conservative reserve dispatch algorithms; deadline scheduling; earliest deadline first; electric vehicle large scale charging; first come first serve; online charging algorithm; plug-in hybrid electric vehicles; renewable energy resources; threshold admission with greedy scheduling; variable charging capacity; Admission control; Optimal scheduling; Renewable energy resources; Schedules; Scheduling; Scheduling algorithms; EV/PHEV charging; deadline scheduling; demand response; renewable energy; smart grid;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sensor Array and Multichannel Signal Processing Workshop (SAM), 2012 IEEE 7th
  • Conference_Location
    Hoboken, NJ
  • ISSN
    1551-2282
  • Print_ISBN
    978-1-4673-1070-3
  • Type

    conf

  • DOI
    10.1109/SAM.2012.6250449
  • Filename
    6250449