• DocumentCode
    797549
  • Title

    Algorithm for improving the restorability of power supply in distribution systems

  • Author

    Deng, Youman ; Cai, Le ; Ni, Yixin

  • Author_Institution
    Dept. of Electr. Eng., Tsinghua Univ., Beijing, China
  • Volume
    18
  • Issue
    4
  • fYear
    2003
  • Firstpage
    1497
  • Lastpage
    1502
  • Abstract
    In this paper, a new concept of restorability of power supply (RPS) and the corresponding performance indices are suggested. Load transfer algorithm is used for enhancing the RPS of distribution systems. Feeder incidence diagram (FID) is proposed for analyzing the rules for load transfer. The performance indices, maximal interrupted power (MIP), and maximal number of interrupted customers (MNIC), is calculated before the restoration operation or apparatus maintenance. These indices can serve for evaluating the operation status of feeders, estimating the impact of load transfer and switch operation, and assessing the RPS. They can also be used to optimize the allocation of tie-breakers in a meshed network. The work is of great significance in distribution system reconstruction in China.
  • Keywords
    distribution networks; load (electric); power system restoration; switching; China; apparatus maintenance; distribution system reconstruction; distribution systems; feeder incidence diagram; load transfer algorithm; load transfer operation; load transfer rules analysis; maximal interrupted power; maximal number of interrupted customers; meshed network; performance indices; power supply; restorability improvement; restoration operation; switch operation; Distributed computing; Fault diagnosis; Genetic algorithms; Load flow; Power supplies; Power system planning; Power system reliability; Power system restoration; Statistical distributions; Switches;
  • fLanguage
    English
  • Journal_Title
    Power Delivery, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8977
  • Type

    jour

  • DOI
    10.1109/TPWRD.2003.817805
  • Filename
    1234711