• DocumentCode
    1803818
  • Title

    Demand response in radial distribution networks: Distributed algorithm

  • Author

    Na Li ; Lijun Chen ; Low, S.H.

  • Author_Institution
    Div. of Eng. & Appl. Sci., California Inst. of Technol., Pasadena, CA, USA
  • fYear
    2012
  • fDate
    4-7 Nov. 2012
  • Firstpage
    1549
  • Lastpage
    1553
  • Abstract
    Demand response has recently become a topic of active research. Most of work however considers only the balance between aggregate load and supply, and abstracts away the underlying power network. In this paper, we study demand response in a radial distribution network, by formulating it as an optimal power flow problem that maximizes the aggregate user utilities and minimizes the supply cost and the power line losses, subject to the power flow constraints and operating constraints. We propose a fully distributed algorithm for the users to coordinate their demand response decisions through local communication with their neighbors so as to achieve the optimum. Numerical examples with the real-world distribution circuits are provided to complement our theoretical analysis.
  • Keywords
    costing; demand side management; distributed algorithms; load flow; numerical analysis; power distribution economics; power distribution lines; aggregate user utility maximization; demand response; distributed algorithm; operating constraints; optimal power flow problem; power flow constraints; power line losses; radial distribution networks; real-world distribution circuits; supply cost minimization; theoretical analysis; Branch flow model; Demand response; Distributed algorithm; Distribution networks; Optimal power flow problem;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers (ASILOMAR), 2012 Conference Record of the Forty Sixth Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA
  • ISSN
    1058-6393
  • Print_ISBN
    978-1-4673-5050-1
  • Type

    conf

  • DOI
    10.1109/ACSSC.2012.6489288
  • Filename
    6489288