• DocumentCode
    45803
  • Title

    Consensus Based Approach for Economic Dispatch Problem in a Smart Grid

  • Author

    Shiping Yang ; Sicong Tan ; Jian-Xin Xu

  • Author_Institution
    Grad. Sch. for Integrative Sci. & Eng., Nat. Univ. of Singapore, Singapore, Singapore
  • Volume
    28
  • Issue
    4
  • fYear
    2013
  • fDate
    Nov. 2013
  • Firstpage
    4416
  • Lastpage
    4426
  • Abstract
    Economic dispatch problem (EDP) is an important class of optimization problems in the smart grid, which aims at minimizing the total cost when generating certain amount of power. In this work, a novel consensus based algorithm is proposed to solve EDP in a distributed fashion. The quadratic convex cost functions are assumed in the problem formulation, and the strongly connected communication topology is sufficient for the information exchange. Unlike centralized approaches, the proposed algorithm enables generators to collectively learn the mismatch between demand and total amount of power generation. The estimated mismatch is then used as a feedback mechanism to adjust current power generation by each generator. With a tactical initial setup, eventually, all generators can automatically minimize the total cost in a collective sense.
  • Keywords
    convex programming; power generation dispatch; power generation economics; quadratic programming; smart power grids; EDP; consensus based approach; economic dispatch problem; feedback mechanism; information exchange; optimization problems; power generation; quadratic convex cost functions; smart grid; strongly connected communication topology; Algorithm design and analysis; Cost function; Distributed algorithms; Eigenvalues and eigenfunctions; Generators; Power generation; Smart grids; Consensus; distributed algorithm; multi-agent systems; optimal dispatch;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2013.2271640
  • Filename
    6560423