• DocumentCode
    676863
  • Title

    Ring main distribution state estimation through optimal meter placement

  • Author

    Ramesh, L. ; Chowdhury, S.P. ; Chowdhury, Shuvro ; Chakraborty, Nilanjan

  • Author_Institution
    Jadavpur Univ., Kolkata, India
  • fYear
    2012
  • fDate
    27-29 Dec. 2012
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    The driving force for decision making in power distribution system is the accurate estimate of the distribution states. Immense research work is being carried out on power system state estimation. In the modern scenario, the need of state estimation in distribution system is very essential. To accommodate that, this paper proposes two algorithms, one for placement of measurement and other for estimating bus voltage magnitude .The PSO and ANN are used for executing the algorithms and these are tested with IEEE and TNEB benchmark systems.
  • Keywords
    neural nets; particle swarm optimisation; power distribution; power engineering computing; power system measurement; power system state estimation; ANN; IEEE benchmark system; PSO; TNEB benchmark system; artificial neural network; bus voltage magnitude estimation; decision making; driving force; optimal meter placement; particle swarm optimization; power distribution system; power system state estimation; ring main distribution state estimation; Meter Placement; Particle Swarm Optimization; Power Distribution Systems; State Estimation;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Sustainable Energy and Intelligent Systems (SEISCON 2012), IET Chennai 3rd International on
  • Conference_Location
    Tiruchengode
  • Electronic_ISBN
    978-1-84919-797-7
  • Type

    conf

  • DOI
    10.1049/cp.2012.2236
  • Filename
    6719142