• DocumentCode
    60418
  • Title

    A Scenario-Based Approach for Energy Storage Capacity Determination in LV Grids With High PV Penetration

  • Author

    Hashemi, SayedMasoud ; Ostergaard, Jacob ; Guangya Yang

  • Author_Institution
    Center for Electr. Power & Energy (CEE), Tech. Univ. of Denmark (DTU), Lyngby, Denmark
  • Volume
    5
  • Issue
    3
  • fYear
    2014
  • fDate
    May-14
  • Firstpage
    1514
  • Lastpage
    1522
  • Abstract
    In this paper a new method is proposed to determine the minimum energy storage required to be installed at different locations of a low voltage (LV) grid in order to prevent the overvoltage due to high residential photovoltaic (PV) penetration. The method is based on the voltage sensitivity analysis of feasible scenarios associated with the net injected power into the grid by customers. A new concept is defined based on the remaining power curve (RPC) associated with the local generation and consumption, and the uncertainties related to PV output and load consumption are modeled in some RPCs with different occurrence probabilities without involving the time-series studies problems. The proposed method is capable of modeling output power of PV panels with different orientations as well as different electric vehicle (EV) charging patterns.
  • Keywords
    electric vehicles; photovoltaic power systems; power consumption; power grids; EV charging pattern; LV grids; RPC; electric vehicle charging pattern; energy storage capacity determination; high residential photovoltaic penetration; load consumption; low voltage grids; minimum energy storage; net injected power; remaining power curve; time-series; voltage sensitivity analysis; Energy storage; Load modeling; Mathematical model; Power generation; Sensitivity analysis; Uncertainty; Voltage control; Energy storage; LV grids; high PV penetration; overvoltage; uncertainty;
  • fLanguage
    English
  • Journal_Title
    Smart Grid, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1949-3053
  • Type

    jour

  • DOI
    10.1109/TSG.2014.2303580
  • Filename
    6782335