• DocumentCode
    2479694
  • Title

    Probabilistic grid planning with consideration of dispersed generation and electric vehicles

  • Author

    Probst, Andreas ; Tenbohlen, Stefan ; Seel, Matthias ; Braun, Martin

  • Author_Institution
    IEH, Univ. of Stuttgart, Stuttgart, Germany
  • fYear
    213
  • fDate
    10-13 June 213
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    One objective of grid planning for low voltage grids is to determine cable diameters of feeders. This usually involves simulating worst case scenarios to estimate peak loads, although the probability of such scenarios to actually occur is not known. Furthermore, today´s grid planning needs to account for new technologies like dispersed generation and electric vehicles. A worst case approach, for example, would consider generation without any simultaneous load. However, in practical experience there is always a minimum load, which mitigates the effect of voltage rise due to generation. This publication presents a new approach to probabilistic grid planning under the consideration of risks of certain scenarios to occur. This methodology can help to plan grids more efficiently.
  • Keywords
    distributed power generation; electric vehicles; load forecasting; photovoltaic power systems; power grids; power system planning; cable diameters; dispersed generation; electric vehicles; feeders; low voltage grids; peak load estimation; probabilistic grid planning; simultaneous load; voltage rise effect; worst case scenarios;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Electricity Distribution (CIRED 2013), 22nd International Conference and Exhibition on
  • Conference_Location
    Stockholm
  • Electronic_ISBN
    978-1-84919-732-8
  • Type

    conf

  • DOI
    10.1049/cp.2013.1201
  • Filename
    6683804