• DocumentCode
    23475
  • Title

    Method for evaluating the importance of power grid nodes based on PageRank algorithm

  • Author

    Canbing Li ; Wencan Liu ; Yijia Cao ; Hao Chen ; Baling Fang ; Wei Zhang ; Haiqing Shi

  • Author_Institution
    Coll. of Electr. & Inf. Eng., Hunan Univ., Changsha, China
  • Volume
    8
  • Issue
    11
  • fYear
    2014
  • fDate
    11 2014
  • Firstpage
    1843
  • Lastpage
    1847
  • Abstract
    Cascading failures can easily occur and cause a major blackout in power grid when an important node breaks down. It is an essential problem to evaluate the importance of nodes in power system planning and operation. In this study, a method for evaluating the importance of power grid nodes based on PageRank (PR) algorithm is proposed. First, according to the comparison of the internet and power grid topology, a directed graph is established. Second, based on the directed graph, an index is proposed to estimate the importance of power grid nodes based on PR algorithm. Then, according to the characteristics of power grid, a modified algorithm, which takes the importance of nodal load, nodal load capacity and network topology into account, is proposed. Finally, case study shows the necessity of considering the factors to evaluate the importance of power grid nodes and the effective of index and algorithm to identify critical nodes in this study.
  • Keywords
    Internet; directed graphs; power engineering computing; power grids; power system reliability; Internet; PR algorithm; PageRank algorithm; cascading failures; directed graph; network topology; nodal load capacity; power grid nodes; power grid topology; power system planning;
  • fLanguage
    English
  • Journal_Title
    Generation, Transmission & Distribution, IET
  • Publisher
    iet
  • ISSN
    1751-8687
  • Type

    jour

  • DOI
    10.1049/iet-gtd.2014.0051
  • Filename
    6942381