• DocumentCode
    648110
  • Title

    Start-up sequence of generators in power system restoration avoiding the backtracking algorithm

  • Author

    Chongru Liu ; Minhao Wu ; Yingsong Deng

  • Author_Institution
    State Key Lab. for Alternate Electr. Power Syst. with Renewable Energy Sources, North China Electr. Power Univ., Beijing, China
  • fYear
    2013
  • fDate
    21-25 July 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Generator start-up sequence is critical to power system restoration. A new algorithm to optimize the start-up sequence of generators based on Dijkstra method is proposed in this paper. First, a combined weight is proposed for the Dijkstra method to balance various optimization objects. Based on the modified weights, a priority index considering the branch weight, generator start-up requirement and ramping rate is proposed to optimize the generator start-up sequence. Second, we analyze the backtracking algorithm in detail and found its limitation and disadvantages, which leads a large amount of calculation and start-up failure. A new algorithm to calculate the start-up sequence is proposed. It can avoid the repetition calculation of Dijkstra and reduce the computation cost by avoiding backtracking. Finally, the IEEE 30-Bus system and Guangdong power grid system are used to validate the proposed algorithm. Simulation results show that the proposed method is efficiency and it can decrease the restoration time significantly.
  • Keywords
    optimisation; power generation faults; power system restoration; Dijkstra method; Guangdong power grid system; IEEE 30-bus system; backtracking algorithm; generator ramping rate; generator start-up failure; generator start-up sequence; optimization object; power system restoration; Computational modeling; Conferences; avoid backtracking; dijkstra algorithm; generator start-up sequencing; power system restoration; priority index;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting (PES), 2013 IEEE
  • Conference_Location
    Vancouver, BC
  • ISSN
    1944-9925
  • Type

    conf

  • DOI
    10.1109/PESMG.2013.6672678
  • Filename
    6672678