• DocumentCode
    187840
  • Title

    The optimal placing of energy storages in Germany in 2020 — An implementation of a DC-load flow model

  • Author

    Mobius, Thomas ; Gunkel, David

  • Author_Institution
    Dept. of Energy Econ., Tech. Univ. Dresden (TU Dresden), Dresden, Germany
  • fYear
    2014
  • fDate
    28-30 May 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In this paper we address the optimal placing of storage power plants within the German electricity transmission system. The DC-load flow model ELMOD formulated as a cost minimization problem is applied. The resulting nodal prices provide incentives for storage investments. The calculations are performed for the years 2012 and 2020 to consider the German nuclear phase-out and increasing share of renewable energy sources (RES). As a central result, the model calculations identify economically superior locations for storage plants. Furthermore, an effect on the total costs and the several nodal prices can be observed. Particularly congested transmission lines and an increase of wind power in Northern Germany have a significant impact on the optimal location planning for storage capacities.
  • Keywords
    energy storage; load flow; minimisation; power transmission economics; power transmission lines; wind power; DC-load flow model ELMOD; German electricity transmission system; Northern Germany; RES; cost minimization problem; energy storage investments; optimal location planning; renewable energy sources; storage power plants; transmission lines; wind power; Economics; Electricity; Electricity supply industry; Energy storage; Investment; Wind power generation; Germany; electricity market; energy storage; investment placing; optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    European Energy Market (EEM), 2014 11th International Conference on the
  • Conference_Location
    Krakow
  • Type

    conf

  • DOI
    10.1109/EEM.2014.6861248
  • Filename
    6861248