• DocumentCode
    3387366
  • Title

    Decentralizing the economic dispatch problem using a two-level incremental cost consensus algorithm in a smart grid environment

  • Author

    Ziang Zhang ; Xichun Ying ; Mo-Yuen Chow

  • Author_Institution
    Dept. of Electr. & Comput. Eng., North Carolina State Univ., Raleigh, NC, USA
  • fYear
    2011
  • fDate
    4-6 Aug. 2011
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    In a smart grid, effective distributed control algorithms could be embedded in distributed controllers to properly allocate electrical power among connected buses autonomously. By selecting the incremental cost of each generation unit as the consensus variable, the Incremental Cost Consensus (ICC) algorithm can solve the economic dispatch problem in a distributed manner instead of using conventional centralized approaches. In this paper, we further decrease the requirement of the communication network by using an average consensus algorithm to acquire the system power mismatch information. The mathematical formulation of the algorithms is also presented in this paper. In addition, the results of several case studies are presented to show the convergence rate of the ICC algorithm and the comparison between the previous ICC and the new two-level ICC algorithm.
  • Keywords
    distributed control; multi-agent systems; power engineering computing; power generation dispatch; power generation economics; smart power grids; ICC algorithm; average consensus algorithm; distributed control algorithm; economic dispatch problem decentralization; electrical power allocation; generation unit; multiagent system; smart grid environment; system power mismatch information acquisition; two-level incremental cost consensus algorithm; Convergence; Generators; Heuristic algorithms; Integrated circuits; Network topology; Smart grids; Topology; Distributed control; consensus; economic dispatch; multi-agent system; smart grid;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    North American Power Symposium (NAPS), 2011
  • Conference_Location
    Boston, MA
  • Print_ISBN
    978-1-4577-0417-8
  • Electronic_ISBN
    978-1-4577-0418-5
  • Type

    conf

  • DOI
    10.1109/NAPS.2011.6025103
  • Filename
    6025103