• DocumentCode
    2020653
  • Title

    Use of available power in the LV grid for energy balancing

  • Author

    Groenbaek, Jesper ; Wallentin, Lukas ; Bessler, Sandford ; Sitter, H.

  • Author_Institution
    FTW - Telecommun. Res. Center, Vienna, Austria
  • fYear
    2013
  • fDate
    16-20 June 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Real-time monitoring and automated management of Low Voltage grids is foreseen to bring: a) improved utilization of existing grid capacity, and b) acceptable power quality under large amounts of decentralized production and fluctuating demand. In this work, we introduce a joint photovoltaic (PV) and electrical vehicle (EV) control approach encapsulated in a low voltage grid controller. Central to our approach, is the utilization of measurements from emerging smart meter deployments. The key mechanism applied for control is the estimation of available power. It enables an efficient interplay between production and EV charging control while maintaining fair allocation of grid resources among the users, and practically eliminating grid events. Finally, the impact of the smart metering sampling period is studied on a measurement corrected prediction error model. Results suggest that sampling periods no larger than 2h should be targeted.
  • Keywords
    electric vehicles; photovoltaic power systems; power generation control; power grids; power supply quality; power system measurement; EV charging control; LV grid; automated management; decentralized production; electrical vehicle control; energy balancing; fair allocation; fluctuating demand; grid capacity; grid events; grid resources; joint photovoltaic control; low voltage grid controller; power quality; prediction error model; production control; real-time monitoring; smart meter deployments; smart metering sampling period; Estimation; Photovoltaic systems; Production; Schedules; Sun; E-mobility; EV-charging; Energy management; OPF; PV control; PV generation; low voltage grid;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    PowerTech (POWERTECH), 2013 IEEE Grenoble
  • Conference_Location
    Grenoble
  • Type

    conf

  • DOI
    10.1109/PTC.2013.6652279
  • Filename
    6652279