DocumentCode :
2045309
Title :
A methodology for evaluating PEVs hosting capacity margins in distribution grids
Author :
Baccino, F. ; de Nigris, M. ; Gianinoni, I. ; Grillo, S. ; Massucco, S. ; Tironi, E.
Author_Institution :
Naval Archit. & Electr. Eng. Dept., Univ. di Genova, Genoa, Italy
fYear :
2012
fDate :
22-26 July 2012
Firstpage :
1
Lastpage :
6
Abstract :
The paper describes the definition and the validation of a methodology, based on an extension of the hosting capacity concept, aimed at assessing the effects of plug-in electric vehicles (PEVs) charging on low voltage distribution networks. An index (called time-dependent hosting capacity) is proposed, which enables to include in its formulation the charging duration, in order to point out the grid constraints. The validation of this index was performed through simulations on the CIGRÉ low voltage European reference grid. The simulations consisted in a series of power flow calculations while varying both the load conditions and the number of charging electric vehicles, assuming a constant daily energy need for all vehicles. Moreover, for some simulations the contribution of distributed generation to improve the quality of supply according to EN 50160 was also investigated.
Keywords :
electric vehicles; power distribution; power grids; power supply quality; CIGRÉ; EN 50160; PEV hosting capacity margins; charging electric vehicles; distributed generation; distribution grids; grid constraints; plug-in electric vehicles charging; power flow calculations; quality of supply; time-dependent hosting capacity; voltage European reference grid; Distributed power generation; Electric vehicles; Indexes; Load flow; Load modeling; Low voltage; Distribution networks; distributed generation; electric network studies; plug-in electric vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy Society General Meeting, 2012 IEEE
Conference_Location :
San Diego, CA
ISSN :
1944-9925
Print_ISBN :
978-1-4673-2727-5
Electronic_ISBN :
1944-9925
Type :
conf
DOI :
10.1109/PESGM.2012.6344800
Filename :
6344800
Link To Document :
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