• DocumentCode
    2547631
  • Title

    Voltage sag mitigation in distribution systems by using genetically optimized switching actions

  • Author

    Salman, Nesrallh ; Mohamed, Azah ; Shareef, Hussain

  • Author_Institution
    Dept. of Electr., Electron. & Syst. Eng., Univ. Kebangsaan Malaysia, Bangi, Malaysia
  • fYear
    2011
  • fDate
    6-7 June 2011
  • Firstpage
    329
  • Lastpage
    334
  • Abstract
    Network reconfiguration is a switching action process for altering the distribution network structure. It is an efficient method for line loss reduction in power systems and though uncommon, it can also be employed for voltage sag mitigation. In this paper, a method for improving bus voltage magnitude during voltage sag is presented. It is done by applying network reconfiguration to the exposed weak area in distribution systems. In the process of reconfiguration, genetic algorithm with a new encoding method is used to maintain the radial structure of distribution network while reaching the optimal solution. The simulation results show that the proposed method is efficient and feasible for improving the bus voltage profile during voltage sag. The proposed method may assist utility engineers in taking the right decision for network reconfiguration.
  • Keywords
    distribution networks; optimal systems; optimisation; power supply quality; bus voltage profile; distribution network structure; distribution systems; encoding; genetically optimized switching actions; line loss reduction; network reconfiguration; optimal solution; power systems; voltage sag mitigation; Encoding; Genetic algorithms; Optimization; Substations; Switches; System buses; Voltage fluctuations; Voltage sag; distribution system and power quality;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering and Optimization Conference (PEOCO), 2011 5th International
  • Conference_Location
    Shah Alam, Selangor
  • Print_ISBN
    978-1-4577-0355-3
  • Type

    conf

  • DOI
    10.1109/PEOCO.2011.5970398
  • Filename
    5970398