DocumentCode :
2023662
Title :
Network extension planning considering the uncertainty of feed-in from renewable energies
Author :
Liebenau, Volker ; Schwippe, Johannes ; Kuch, Stefan ; Rehtanz, Christian
Author_Institution :
Inst. of Energy Syst., Energy Efficiency & Energy Econ., Tech. Univ. Dortmund, Dortmund, Germany
fYear :
2013
fDate :
16-20 June 2013
Firstpage :
1
Lastpage :
6
Abstract :
The integration of fluctuating renewable energy sources is a challenge for grids on all voltage levels. The feed-in of these energy sources is difficult to forecast and lies in certain limits of variation. Renewable energy plants are built at locations with a high potential e.g. high wind speeds that allow high utilization factors. However, grid constraints caused by the construction of energy plants are not considered for the choice of the location. The increasing amount of installed renewable energy plants causes the need for network reinforcements. For network planning, the grid operators have to anticipate the highest possible electricity feed-in. But this scenario only happens very rarely when several types of fluctuating generation, such as wind and photovoltaic, are installed. This paper presents a new approach for determining scenarios for an efficient network planning process which depends on the allowed feed-in from renewable energies. The reduction of the injected power and energy of renewable energies in relation to a reduction of network extension costs is discussed.
Keywords :
power generation planning; power grids; solar power stations; wind power plants; electricity feed-in; grid constraints; high utilization factors; high wind speeds; injected power reduction; network extension cost reduction; network extension planning process; network reinforcements; renewable energy plants; renewable energy sources; solar power generation; voltage levels; wind power generation; Planning; Renewable energy sources; Time series analysis; Wind power generation; Wind speed; power grids; power system economics; power system planning; solar power generation; wind power generation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
PowerTech (POWERTECH), 2013 IEEE Grenoble
Conference_Location :
Grenoble
Type :
conf
DOI :
10.1109/PTC.2013.6652382
Filename :
6652382
Link To Document :
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