Stochastic Generation of Aggregated Charging Profiles of PEVs for the Operation Analysis of Low Voltage Networks

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CIRED 2019 - 21.pdf (1.58 MB)

Paper number

21

Working Group Number

Conference name

CIRED 2019

Conference date

3-6 June 2019

Conference location

Madrid, Spain

Peer-reviewed

Yes

Short title

Convener

Authors

Cortes, Andres, University of the Basque Country, Spain
Merino, Julia, Tecnalia, Spain
Torres, Esther, University of the Basque Country, Spain

Abstract

The increasing deployment of plug-in electric vehicle (PEV) in electrical networks is bringing new challenges to power system operators due to the high load concentration and their stochastic behaviour. Therefore, it becomes necessary to foresee the impact when connecting them to the grid. In this sense, this paper discusses the results of a thorough statistical analysis of a real PEV fleet data to identify their commuting and charging patterns, the number of connections by charging level and the charging frequency per week as main parameters to understand how they will influence the network. In that regard, a methodology based on the Poisson process and the Monte Carlo method to generate a random series of aggregated charging profiles in case of unavailability of real data that can be used to perform network studies is proposed. Finally, the methodology is validated through a series of simulations and the outcomes are discussed.

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Keywords

Publisher

AIM

Date

2019-06-03

Published in

CIRED 2019 Conference

Permanent link to this record

https://cired-repository.org/handle/20.500.12455/448
http://dx.doi.org/10.34890/671

ISSN

2032-9644

ISBN

978-2-9602415-0-1