• DocumentCode
    2614359
  • Title

    A Heuristic Approach to Local Load Shedding Scheme for Reliability Assessment of Bulk Power Systems

  • Author

    Zhao, Yuan ; Zhou, Nianchen ; Zhou, Jiaqi ; Xie, Kaigui ; Liu, Yang ; Kuang, Jun

  • Author_Institution
    Electr. Power Dept., Chongqing Univ.
  • fYear
    2005
  • fDate
    2005
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    To improve the calculation efficiency of reliability assessment, this paper presents a heuristic approach to local load shedding scheme. The basic ideas of the proposed method are to search the node sets to conduct load curtailment which can alleviate system problems effectually according to local load shedding principle and through power flow tracing in the vicinity of the failed system components. The proposed model is very efficient because it avoids the global optimization of the whole system to get the optimal load shedding amount. The RBTS and IEEE-RTS79 power systems are evaluated by the developed algorithm. From the results, we conclude that the algorithm can effectively reduce the calculation demand while keeping the required accuracy, and provide an excellent solution to alleviate the calculation bottleneck of reliability assessment
  • Keywords
    load flow; power system analysis computing; power system reliability; IEEE-RTS79 power systems; RBTS; bulk power systems; heuristic rules; load curtailment; local load shedding; power flow tracing; reliability assessment; Feeds; Load flow; Power engineering computing; Power generation; Power system analysis computing; Power system modeling; Power system reliability; Propagation losses; Reactive power; Voltage; Reliability assessment; bulk power systems; load shedding scheme;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Transmission and Distribution Conference and Exhibition: Asia and Pacific, 2005 IEEE/PES
  • Conference_Location
    Dalian
  • Print_ISBN
    0-7803-9114-4
  • Type

    conf

  • DOI
    10.1109/TDC.2005.1546961
  • Filename
    1546961