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
Link To Document :
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