• DocumentCode
    3396437
  • Title

    Optimization Method for Unit Restarting during Power System Black-Start Restoration

  • Author

    Zhong, Huirong ; Gu, XuePing ; Zhu, Xuedong

  • Author_Institution
    Sch. of Electr. & Electron. Eng., North China Electr. Power Univ., Baoding, China
  • fYear
    2012
  • fDate
    27-29 March 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Unit restarting is the basis of the whole restoration control and is also the guarantee for the fast network reconfiguration and load recovery during power system black-start restoration. In this paper, an optimization method for unit restarting during power system black-start restoration is studied. An hierarchical optimal strategy is proposed based on the layered feature of unit restarting which treated the unit restarting process as two-layer restoration process - the network-layer unit restarting and the plant-layer unit restarting, the hierarchical optimal model of unit restarting is built on analyzing the mutual influence of network-layer unit restarting and the plant-layer unit restarting, then the algorithm of backtracking was adopted to determine the best unit restarting sequences. The proposed optimization method can determine the restarting sequence of all the units, so it can eliminate the shortcomings of the previous in which a power plant is treated as a single unit or only one unit of each plant is considered, and it also realizes the coordinative optimization of network reconfiguration and plant unit restarting. The effectiveness of the proposed method is validated by the numerical results of a restoration example based on the New England 10-unit 39-bus power system.
  • Keywords
    optimal control; optimisation; power system control; power system restoration; New England 10-unit 39-bus power system; coordinative optimization method; hierarchical optimal strategy; load recovery; plant-layer unit restarting; power system black-start restoration control; two-layer restoration process; Algorithm design and analysis; Optimization methods; Power generation; Power system restoration; Time factors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference (APPEEC), 2012 Asia-Pacific
  • Conference_Location
    Shanghai
  • ISSN
    2157-4839
  • Print_ISBN
    978-1-4577-0545-8
  • Type

    conf

  • DOI
    10.1109/APPEEC.2012.6307525
  • Filename
    6307525