• DocumentCode
    3244877
  • Title

    Effect of load models on Battery-Switching Station allocation in distribution network

  • Author

    Jamian, J.J. ; Mustafa, M.W. ; Muda, Zaiton ; Mokhlis, H. ; Aman, M.M.

  • Author_Institution
    Fac. of Electr. Eng., Univ. Teknol. Malaysia, Skudai, Malaysia
  • fYear
    2012
  • fDate
    2-5 Dec. 2012
  • Firstpage
    189
  • Lastpage
    193
  • Abstract
    Battery-Switching Station (BSS) is one of the most important components in the growth of electrical vehicle (EV) market. In the distribution network point of view, these BSS units are a new type of load in the distribution system for charging the EV. The charging process consume real power, thus the nature of BSS load is purely resistive. Without proper allocation of BSS units, it might cause the power losses in the distribution system increase dramatically. In the present study, BSS units are located optimally utilizing Artificial Bee Colony (ABC) algorithm. The 33-bus distribution system with three distributed generators (DG) units using different load types is used as a test system. The result shows that the optimal location of BSS units does not affect the load types but has an impact to the power losses and voltage profile value.
  • Keywords
    ant colony optimisation; battery storage plants; distributed power generation; distribution networks; electric vehicles; 33-bus distribution system; ABC algorithm; BSS units; DG units; EV charging process; EV market; artificial bee colony algorithm; battery-switching station allocation; distributed generators; distribution network; electrical vehicle market; load model effect; power losses; test system; voltage profile value; Batteries; Conferences; Educational institutions; Electric vehicles; Load modeling; Power systems; Resource management; Battery Switching Station; Distributed Generation; Load Model; Optimization Method;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy (PECon), 2012 IEEE International Conference on
  • Conference_Location
    Kota Kinabalu
  • Print_ISBN
    978-1-4673-5017-4
  • Type

    conf

  • DOI
    10.1109/PECon.2012.6450203
  • Filename
    6450203