• DocumentCode
    3400528
  • Title

    Community Mining Voltage Control Partition Based on Energy Information Weighted Complex Networks

  • Author

    Bai Yun ; Li Hua-Qiang

  • Author_Institution
    Sch. of Electr. Eng. & Inf., Sichuan Univ., Chengdu, China
  • fYear
    2012
  • fDate
    27-29 March 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Based on the mathematical model of static energy, an improved mathematical model of branch reactive potential energy was constructed in this paper. Started from branch energy information and combined with complex network theory, a line-weighted factor was proposed to quantify the reactive potential energy. Secondly according to the voltage control problems, a weighted grid topology model based on branch reactive potential energy was established. Then on the basis of community network mining partition theory, the weighted topology network was partitioned with the maximum number of line betweenness method. At last, the simulation results of this method on IEEE-30 bus system demonstrate its validity and feasibility.
  • Keywords
    complex networks; power grids; power system simulation; voltage control; IEEE-30 bus system; branch energy information; branch reactive potential energy; community network mining; complex network theory; line-weighted factor; mathematical model; static energy; voltage control partition; weighted complex networks; weighted grid topology; weighted topology network; Communities; Complex networks; Mathematical model; Potential energy; Power system stability; Reactive power; Voltage control;
  • 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.2012.6307710
  • Filename
    6307710