• DocumentCode
    3392924
  • Title

    Impact of PMUs on state estimation accuracy in active distribution grids with large PV penetration

  • Author

    Macii, David ; Barchi, Grazia ; Moser, David

  • Author_Institution
    Univ. of Trento, Trento, Italy
  • fYear
    2015
  • fDate
    9-10 July 2015
  • Firstpage
    72
  • Lastpage
    77
  • Abstract
    The growing penetration of photovoltaic (PV) systems as well as the increasing presence of time-varying loads exacerbate the variability of electrical quantities in distribution networks, thus posing new challenges for grid monitoring and management. Among the various problems that may originate from the intermittent, periodic and generally random nature of PV generation and dynamic load conditions, the uncertainty affecting Distribution System State Estimation (DSSE) techniques might be particularly critical as it could lead to false or missed alarms (e.g. in fault detection) or to improper control actions. In this paper, the accuracy of the well-known Weighted Least Squared (WLS) state estimator is analyzed under the effect of different levels of PV penetration and loading. The reported simulation results can be useful to provide some general guidelines on how to improve state estimation accuracy in active distribution networks.
  • Keywords
    distribution networks; least squares approximations; phasor measurement; photovoltaic power systems; power system state estimation; DSSE techniques; PMU; PV systems; WLS state estimator; active distribution grids; active distribution networks; distribution networks; distribution system state estimation; grid monitoring; large PV penetration; photovoltaic systems; state estimation accuracy; time-varying loads; weighted least squared state estimator; Accuracy; Current measurement; Phasor measurement units; Reactive power; State estimation; Uncertainty; Voltage measurement; Smart grids; distribution system state estimation; energy monitoring; photovoltaic systems; uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Environmental, Energy and Structural Monitoring Systems (EESMS), 2015 IEEE Workshop on
  • Conference_Location
    Trento
  • Print_ISBN
    978-1-4799-8214-1
  • Type

    conf

  • DOI
    10.1109/EESMS.2015.7175855
  • Filename
    7175855