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
Link To Document