• DocumentCode
    3729717
  • Title

    Optimizing and testing of batteries for a smart grid

  • Author

    Ali Arefi;Gerard Ledwich;Richard Taylor;Alan Louis;Mithulan Nadarajah

  • Author_Institution
    Queensland University of Technology
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper presents optimization and testing processes for the deployment of batteries in rural networks. The injection of real power in the single wire earth return (SWER) networks offers advantages of reduced voltage drop and increased loadability. This paper shows how the sizing and location of battery systems can be designed and how the battery system for control of voltage can be tested. The optimal size and location of batteries is found through discrete particle swarm optimization (DPSO). It is seen that each kVA of batteries increases loadability of SWER network by 2kVA. The testing of such a smart battery system has been accomplished through use of a real timer hardware-in-the-loop simulator (OPAL-RT) interfaced to the full battery system.
  • Keywords
    "Batteries","Voltage control","Regulators","Decision support systems","Optimization","Testing","Wires"
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference (APPEEC), 2015 IEEE PES Asia-Pacific
  • Type

    conf

  • DOI
    10.1109/APPEEC.2015.7381015
  • Filename
    7381015