• DocumentCode
    1418120
  • Title

    Fast service restoration for large-scale distribution systems with priority customers and constraints

  • Author

    Miu, K.N. ; Chiang, Hsiao-Dong ; Yuan, Bentao ; Darling, Gary

  • Author_Institution
    Sch. of Electr. Eng., Cornell Univ., Ithaca, NY, USA
  • Volume
    13
  • Issue
    3
  • fYear
    1998
  • fDate
    8/1/1998 12:00:00 AM
  • Firstpage
    789
  • Lastpage
    795
  • Abstract
    A fast, effective service restoration method is designed for large-scale distribution systems with priority customers. The service restoration problem is formulated as a constrained multi-objective optimization problem. A ranking-based search method employing analytical information obtained from three-phase power flow simulations is designed to restore service to as many priority customers as possible while maximizing the amount of total load restored and minimizing the number of required switch operations. The proposed method is designed with consideration to networks which have predominantly manual switches. Comprehensive simulation results of the search method, including priority customers, single and multiple faults and multiple out-of-service areas are presented for a 416 bus distribution network
  • Keywords
    distribution networks; load flow; optimisation; power system restoration; switching; 416 bus distribution network; analytical information; constrained multi-objective optimization; constraints; fast service restoration; large-scale distribution systems; manual switches; multiple faults; multiple out-of-service areas; priority customers; ranking-based search method; simulation; single faults; switch operations reduction; three-phase power flow simulations; Analytical models; Constraint optimization; Design methodology; Information analysis; Large-scale systems; Load flow; Load flow analysis; Power system restoration; Search methods; Switches;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/59.708643
  • Filename
    708643