Curtin University Homepage
  • Library
  • Help
    • Admin

    espace - Curtin’s institutional repository

    JavaScript is disabled for your browser. Some features of this site may not work without it.
    View Item 
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item

    Fuzzy Approach for Online Coordination of Plug-In Electric Vehicle Charging in Smart Grid

    228147_228147.pdf (1.348Mb)
    Access Status
    Open access
    Authors
    Masoum, A.
    Deilami, Sara
    Abu-Siada, Ahmed
    Masoum, Mohammad Sherkat
    Date
    2015
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Masoum, A. and Deilami, S. and Abu-Siada, A. and Masoum, M. 2015. Fuzzy Approach for Online Coordination of Plug-In Electric Vehicle Charging in Smart Grid. IEEE Transactions on Sustainable Energy. 6 (3): pp. 1112-1121.
    Source Title
    IEEE Transactions on Sustainable Energy
    DOI
    10.1109/TSTE.2014.2327640
    ISSN
    1949-3029
    School
    Department of Electrical and Computer Engineering
    Remarks

    Copyright © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

    URI
    http://hdl.handle.net/20.500.11937/36645
    Collection
    • Curtin Research Publications
    Abstract

    This paper proposes an online fuzzy coordination algorithm (OL-FCA) for charging plug-in electric vehicles (PEVs) in smart grid networks that will reduce the total cost of energy generation and the associated grid losses while maintaining network operation criteria such as maximum demand and node voltage profiles within their permissible limits. A recently implemented PEV coordination algorithm based on maximum sensitivity selection (MSS) optimization is improved using fuzzy reasoning. The proposed OL-FCA considers random plug-in of vehicles, time-varying market energy prices, and PEV owner preferred charging time zones based on priority selection. Impacts of uncoordinated, MSS, and fuzzy coordinated charging on total cost, gird losses, and voltage profiles are investigated by simulating different PEV penetration levels on a 449-node network with three wind distributed generation (WDG) systems. The main advantage of OL-FCA compared with the MSS PEV coordination is the reduction in the total cost it introduces within the 24h.

    Related items

    Showing items related by title, author, creator and subject.

    • Real-time charging coordination of plug-in electric vehicles based on hybrid fuzzy discrete particle swarm optimization
      Hajforoosh, S.; Masoum, Mohammad Sherkat; Islam, Syed (2015)
      The main impact of uncoordinated plug-in electric vehicle (PEV) charging is adding new time-variant loads that can increase the strains on the generation units, transmission and distribution systems that may result in ...
    • Fuzzy Approach for Online Coordination of Plug-In Electric Vehicle Charging in Smart Grid
      Masoum, A.; Deilami, Sara; Abu-Siada, Ahmed; Masoum, M. (2014)
      This paper proposes an online fuzzy coordination algorithm (OL-FCA) for charging plug-in electric vehicles (PEVs) in smart grid networks that will reduce the total cost of energy generation and the associated grid losses ...
    • Optimal dispatch of shunt capacitors and load tap changers in distorted distribution systems using ant colony algorithms
      Deilami, Sara (2010)
      This thesis investigates the performances of a class of intelligent system algorithms in solving the volt/VAr/THD control problem for large distribution systems. For this purpose, optimal dispatch of Load Tap Changers ...
    Advanced search

    Browse

    Communities & CollectionsIssue DateAuthorTitleSubjectDocument TypeThis CollectionIssue DateAuthorTitleSubjectDocument Type

    My Account

    Admin

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    Follow Curtin

    • 
    • 
    • 
    • 
    • 

    CRICOS Provider Code: 00301JABN: 99 143 842 569TEQSA: PRV12158

    Copyright | Disclaimer | Privacy statement | Accessibility

    Curtin would like to pay respect to the Aboriginal and Torres Strait Islander members of our community by acknowledging the traditional owners of the land on which the Perth campus is located, the Whadjuk people of the Nyungar Nation; and on our Kalgoorlie campus, the Wongutha people of the North-Eastern Goldfields.