• DocumentCode
    73225
  • Title

    Optimal Microgrid Control and Power-Flow Study With Different Bidding Policies by Using PowerWorld Simulator

  • Author

    Dong Zhang ; Shuhui Li ; Peng Zeng ; Chuanzhi Zang

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Alabama, Tuscaloosa, AL, USA
  • Volume
    5
  • Issue
    1
  • fYear
    2014
  • fDate
    Jan. 2014
  • Firstpage
    282
  • Lastpage
    292
  • Abstract
    For a microgrid (MG) to participate in a real-time and demand-side bidding market, high-level control strategies aiming at optimizing the operation of the MG are necessary. One of the difficulties for research of a competitive MG power market is the absence of efficient computational tools. Although many commercial power system simulators are available, these power system simulators are usually not directly applicable to solve the optimal power dispatch problem for an MG power market and to perform MG power-flow study. This paper analyzes the typical MG market policies and investigates how these policies can be converted in such a way that one can use commercial power system software for MG power market study. The paper also develops a mechanism suitable for the power-flow study of an MG containing inverter-interfaced distributed energy sources. The extensive simulation analyses are conducted for grid-tied and islanded operations of a benchmark MG network.
  • Keywords
    demand side management; distributed power generation; power control; power markets; bidding policies; demand-side bidding market; distributed energy sources; grid-tied operations; high-level control strategies; islanded operations; optimal microgrid control; power system simulators; power-flow study; powerworld simulator; Density estimation robust algorithm; Generators; Load modeling; Optimization; Power markets; Reactive power; Demand-side bidding; PowerWorld simulator; distributed generation; microgrid (MG); modeling and simulation; optimization;
  • fLanguage
    English
  • Journal_Title
    Sustainable Energy, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1949-3029
  • Type

    jour

  • DOI
    10.1109/TSTE.2013.2281811
  • Filename
    6650083