• DocumentCode
    1761199
  • Title

    Distributed Bisection Method for Economic Power Dispatch in Smart Grid

  • Author

    Hao Xing ; Yuting Mou ; Minyue Fu ; Zhiyun Lin

  • Author_Institution
    State Key Lab. of Ind. Control Technol. & the Dept. of Control Sci. & Eng., Zhejiang Univ., Hangzhou, China
  • Volume
    30
  • Issue
    6
  • fYear
    2015
  • fDate
    Nov. 2015
  • Firstpage
    3024
  • Lastpage
    3035
  • Abstract
    In this paper, we present a fully distributed bisection algorithm for the economic dispatch problem (EDP) in a smart grid scenario, with the goal to minimize the aggregated cost of a network of generators, which cooperatively furnish a given amount of power within their individual capacity constraints. Our distributed algorithm adopts the method of bisection, and is based on a consensus-like iterative method, with no need for a central decision maker or a leader node. Under strong connectivity conditions and allowance for local communications, we show that the iterative solution converges to the globally optimal solution. Furthermore, two stopping criteria are presented for the practical implementation of the proposed algorithm, for which sign consensus is defined. Finally, numerical simulations based on the IEEE 14-bus and 118-bus systems are given to illustrate the performance of the algorithm.
  • Keywords
    IEEE standards; distributed power generation; iterative methods; minimisation; power generation dispatch; power generation economics; smart power grids; EDP; IEEE 118-bus system; IEEE 14-bus system; aggregated cost minimization; distributed bisection algorithm; economic power dispatch problem; iterative method; numerical simulation; power generation system; sign consensus; smart grid scenario; stopping criteria; Convex functions; Cost function; Distributed algorithms; Iterative methods; Power demand; Power generation dispatch; Smart grids; Consensus; distributed algorithm; distributed convex optimization; economic power dispatch; smart grid;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2014.2376935
  • Filename
    6987376