DocumentCode :
1770720
Title :
Impact assessment of energy storage and electric vehicles on smart grids
Author :
Calderaro, Vito ; Galdi, Vincenzo ; Graber, Giuseppe ; Graditi, Giorgio ; Lamberti, Fabrizio
Author_Institution :
Dept. of Ind. Eng., Univ. of Salerno, Fisciano, Italy
fYear :
2014
fDate :
11-13 June 2014
Firstpage :
15
Lastpage :
18
Abstract :
The impact of non-scheduled Renewable Energy Sources on distribution networks and the forecasted deployment of Electric Vehicles can lead up to severe power quality stress (i.e. peak demand), in the next future. In order to alleviate these problems, IPP can offer a peak shaving ancillary service to DNOs by means of Energy Storage Systems (ESSs) integration, which represents a technological promising solution. Here, we analyze the sizing of ESSs, installed at the DG connection bus, by Monte Carlo simulations and assess the solutions for a real Italian MV network taking into account several proposed indices related to the ESS cost and size.
Keywords :
Monte Carlo methods; distributed power generation; distribution networks; electric vehicles; energy storage; smart power grids; DG connection bus; ESS; Italian MV network; Monte Carlo simulations; distribution networks; electric vehicles; energy storage systems; nonscheduled renewable energy sources; peak shaving ancillary service; power quality stress; smart grids; Educational institutions; Electric vehicles; Energy storage; Monte Carlo methods; Renewable energy sources; Smart grids; Ancillary Services; Electric Vehicle; Energy Storage Systems; Renewable Energy Sources; Smart Grid;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electric Power Quality and Supply Reliability Conference (PQ), 2014
Conference_Location :
Rakvere
Print_ISBN :
978-1-4799-5020-1
Type :
conf
DOI :
10.1109/PQ.2014.6866775
Filename :
6866775
Link To Document :
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