• DocumentCode
    676739
  • Title

    Source-grid-load interaction research in power system

  • Author

    Jieyu Xie ; Xingying Chen ; Kun Yu ; Yingchen Liao ; Lijie Wu ; Jianguo Yao

  • Author_Institution
    Hohai Univ., Nanjing, China
  • fYear
    2013
  • fDate
    22-25 Oct. 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The large-scale access of flexible equipment and the in-depth development of electricity market form a two-way transmission of energy and information among source side, grid side and load side in future power system, which leads to an extensive source-grid-load interaction. A well-established source-grid-load interaction research will provide a theoretical basis to control the future power system and to guide its development. In this paper, the interactive system is further analyzed, the mathematical models of interaction excitation and interaction cost are proposed, the power balance in power system is expressed by probabilistic indexes, and eventually an optimal interaction framework is formed, a typical source-grid-load interaction process analysis shows that this framework can be used to find the optimal interaction strategy.
  • Keywords
    load management; power grids; power markets; power system economics; electricity market; flexible equipment; interaction cost; interaction excitation; interactive system; mathematical model; optimal interaction strategy; power balance; power system; probabilistic index; source-grid-load interaction research; two way transmission; Indexes; Interactive systems; Load modeling; Power system reliability; Probabilistic logic; Reliability; interaction cost; interaction excitation; interaction strategy; interactive system; source-grid-load interaction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    TENCON 2013 - 2013 IEEE Region 10 Conference (31194)
  • Conference_Location
    Xi´an
  • ISSN
    2159-3442
  • Print_ISBN
    978-1-4799-2825-5
  • Type

    conf

  • DOI
    10.1109/TENCON.2013.6718942
  • Filename
    6718942