• DocumentCode
    3212091
  • Title

    Differential evolution meter location in distribution state estimation

  • Author

    Ramesh, L. ; Chakraborty, N. ; Chowdhury, S.P.

  • Author_Institution
    Dr. MGR Univ., Chennai, India
  • fYear
    2011
  • fDate
    20-22 July 2011
  • Firstpage
    462
  • Lastpage
    467
  • Abstract
    Distribution System monitoring become a very important function in today´s deregulated power markets and thus, state estimators have become the essential tools of choice for the implementation of this function. Determination of the best possible combination of meters for monitoring a given Distribution System is referred to as the optimal meter placement. Whether a new state estimator is put into service or an existing one is being upgraded, placing new meters for improving or maintaining reliability and the observability of the measurement system, is of great concern. This paper proposes an optimization algorithm suitable to choose the optimal number and position of the measurement devices needed to operate management and control issues, such as energy dispatching and protection coordination, in modern electric distribution networks. The intelligent algorithm tested for IEEE and TNEB test systems.
  • Keywords
    distribution networks; optimisation; power meters; power system measurement; state estimation; IEEE test system; TNEB test system; control issue; differential evolution meter location; distribution state estimation; distribution system monitoring; electric distribution networks; energy dispatching; management issue; optimal meter placement; optimization algorithm; protection coordination; state estimator; Differential Evolution; Distribution System; Optimal Meter Placement; State Estimation;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Sustainable Energy and Intelligent Systems (SEISCON 2011), International Conference on
  • Conference_Location
    Chennai
  • Type

    conf

  • DOI
    10.1049/cp.2011.0407
  • Filename
    6143355