• DocumentCode
    2090289
  • Title

    Reconfiguration of Distribution Network with Dispersed Generators Based on Improved Forward-Backward Sweep Method

  • Author

    Wang Jia-jia ; Lu Lin ; Liu Jun-Yong ; Zhong Sheng

  • Author_Institution
    Sch. of Electr. Inf., Sichuan Univ., Chengdu, China
  • fYear
    2010
  • fDate
    28-31 March 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper presented an improved forward-backward sweep method and applied the hybrid particle swarm algorithm to solving the distribution network reconfiguration (DNR) with the distribution of power generation units through network simplification. This method can improve the convergence ability and global optimization ability of the traditional PSO. Solution procedure applied the decimal code to simplify encoding process, and proposed an improved forward-backward sweep method using the node-layer incident matrix to calculate the power flow. Finally a typical example of 33 bus system was simulated. The results showed that the method can adapt to the dynamic power flow solution of power and doubled the speed of the flow calculation. Moreover, the introduction of the DG can decrease network loss and enhance the node voltage.
  • Keywords
    distribution networks; particle swarm optimisation; PSO; convergence ability; dispersed generators; distribution network reconfiguration; dynamic power flow; forward-backward sweep method; global optimization ability; hybrid particle swarm algorithm; incident matrix; power generation units; Distributed power generation; Hybrid power systems; Load flow; Network topology; Optimization methods; Particle swarm optimization; Power generation; Roads; Switches; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference (APPEEC), 2010 Asia-Pacific
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-4812-8
  • Electronic_ISBN
    978-1-4244-4813-5
  • Type

    conf

  • DOI
    10.1109/APPEEC.2010.5448310
  • Filename
    5448310