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