• DocumentCode
    2317761
  • Title

    A review on evaluation of maximum permissible capacity of distributed generations connected to a smart grid

  • Author

    Yang, Nien-che ; Chen, Tsai-hsiang

  • Author_Institution
    Dept. of Electr. Eng., Yuan Ze Univ., Taoyuan, Taiwan
  • Volume
    4
  • fYear
    2012
  • fDate
    15-17 July 2012
  • Firstpage
    1589
  • Lastpage
    1593
  • Abstract
    In this paper, the validity of the present extreme values deterministic methods for evaluating the possible installed capacities of distributed generations (DGs) interconnected with a smart grid is reviewed. First, the definitions and the related standards of power quality are introduced. Second, the present extreme values deterministic methods to evaluate the steady-state voltage deviations caused by DGs interconnection with a smart grid are presented. Third, the impedance-sensitive and current-sensitive factors affecting the steady-state voltage deviations on smart grids are presented. Forth, the exhaustive search algorithm is proposed to find the all possible combinations of bus loads, power productions of DGs and system topologies within the given ranges of system parameters. Finally, the validity of the present extreme values deterministic methods is diagnosed.
  • Keywords
    distributed power generation; power supply quality; search problems; smart power grids; DG interconnection; DG power productions; current-sensitive factors; distributed generations; exhaustive search algorithm; extreme value deterministic methods; impedance-sensitive factors; maximum permissible capacity; power quality; smart grid; steady-state voltage deviations; Abstracts; Grounding; IEEE standards; Impedance; Silicon; Uninterruptible power systems; Distributed generation; Exhaustive search algorithm; Smart grid; Voltage deviation; Voltage quality;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics (ICMLC), 2012 International Conference on
  • Conference_Location
    Xian
  • ISSN
    2160-133X
  • Print_ISBN
    978-1-4673-1484-8
  • Type

    conf

  • DOI
    10.1109/ICMLC.2012.6359602
  • Filename
    6359602