• DocumentCode
    1758876
  • Title

    Three-phase power flow calculations by direct ZLOOP method for microgrids with electric vehicle charging demands

  • Author

    Nien-Che Yang

  • Author_Institution
    Dept. of Electr. Eng., Yuan Ze Univ., Chungli, Taiwan
  • Volume
    7
  • Issue
    9
  • fYear
    2013
  • fDate
    Sept. 2013
  • Firstpage
    1002
  • Lastpage
    1010
  • Abstract
    A three-phase power flow solution approach for microgrids with electric vehicle (EV) demands is proposed in this study. Based on the loop frame of reference, a direct iterative approach is adopted. Most of microgrids are essentially unbalanced; hence, the proposed approach is developed based on true phase (a-b-c) frame, rather than the sequence-component frame. Based on the true phase frame, the total dimension of the performance equations of the network is the minimum required to represent the microgrid system. The mathematical component models, such as feeders, capacitors/reactors, transformers, automatic voltage regulators, loads, distributed energy resource units and EV demands can easily be involved in the proposed approach. To examine the validity of the proposed algorithm, four IEEE sample systems and a practical Taiwan Power Company distribution system are used as benchmarks for comparisons. The test results show that the proposed approach is accurate, efficient and robust with minimum memory requirements for three-phase power flow studies.
  • Keywords
    battery powered vehicles; distributed power generation; iterative methods; load flow; power distribution; EV charging demands; EV demands; IEEE benchmark systems; automatic voltage regulators; capacitors-reactors; direct ZLOOP method; direct iterative approach; distributed energy resource units; electric vehicle charging demands; feeders; loop frame; mathematical component models; microgrid system; practical Taiwan Power Company distribution system; sequence-component frame; three-phase power flow calculations; transformers; true phase frame;
  • fLanguage
    English
  • Journal_Title
    Generation, Transmission & Distribution, IET
  • Publisher
    iet
  • ISSN
    1751-8687
  • Type

    jour

  • DOI
    10.1049/iet-gtd.2012.0535
  • Filename
    6584872