• DocumentCode
    493226
  • Title

    Optimal Location of Measurement Devices in Active Distribution Networks

  • Author

    Muscas, Carlo ; Pilo, Fabrizio ; Pisano, Giuditta ; Sulis, Sara

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Univ. of Cagliari, Cagliari
  • fYear
    2008
  • fDate
    25-29 May 2008
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    This paper proposes an optimization algorithm suitable to choose the optimal number and position of the measurement devices in active distribution networks. In active distribution networks distributed energy resources may be controlled and the topology modified to optimize power flows and to solve critical contingencies. The proposed algorithm, based on the techniques of the dynamic programming, has the goal to guarantee at the same time, for all the considered topology configurations, the minimum cost and the accuracy required to the measured data needed to operate management and control issues. Both the uncertainty introduced by the measurement devices and the tolerance in the knowledge of the network parameters are taken into account. Random changes of the loads are considered to establish adequate reference conditions. Tests relevant to a small system in several possible configurations are presented to show the validity of the proposed approach.
  • Keywords
    Monte Carlo methods; distribution networks; dynamic programming; state estimation; Monte Carlo methods; active distribution networks; distributed energy resources; distribution state estimation; dynamic programming; measurement devices optimal location; power flows; Costs; Dynamic programming; Electric variables measurement; Heuristic algorithms; Network topology; Position measurement; Power system management; State estimation; System testing; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Probabilistic Methods Applied to Power Systems, 2008. PMAPS '08. Proceedings of the 10th International Conference on
  • Conference_Location
    Rincon
  • Print_ISBN
    978-1-9343-2521-6
  • Electronic_ISBN
    978-1-9343-2540-7
  • Type

    conf

  • Filename
    4912664