Show simple item record

dc.contributor.advisorAravinthan, Visvakumar
dc.contributor.authorShek, Chak Lam
dc.descriptionThesis (M.S.)-- Wichita State University, College of Engineering, Dept. of Electrical Engineering and Computer Science
dc.description.abstractIn recent years, the number of electric vehicles has increased dramatically, and the forecast shows that this speed of growth will accelerate even more over the next ten years. The significant growth in the number of electric vehicles indicates a large energy demand in the power distribution system. Without a well-organized schedule for charging electric vehicles, users will typically apply immediate charging, which burdens the system and damages equipment. To reduce the peak demand of the system, a process of scheduling electric vehicle charging should be established for reducing the peak demand. This thesis proposes a distributed computing process for solving the electric vehicle charging schedule problem. This process models the electric vehicle charging availability to determine the charging rate. Also, this process can ensure that the charging schedule meets the energy demand of individual vehicles and the power limit of the power distribution system.
dc.format.extentxi, 41 pages
dc.publisherWichita State University
dc.rightsCopyright 2020 by Chak Lam Shek All Rights Reserved
dc.subject.lcshElectronic dissertations
dc.titleOptimization of electric vehicle charging schedule using distributed network computing

Files in this item


This item appears in the following Collection(s)

  • CE Theses and Dissertations
    Doctoral and Master's theses authored by the College of Engineering graduate students
  • EECS Theses and Dissertations
    Collection of Master's theses and Ph.D. dissertations completed at the Dept. of Electrical Engineering and Computer Science
  • Master's Theses
    This collection includes Master's theses completed at the Wichita State University Graduate School (Fall 2005 --)

Show simple item record