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

Loading...
Thumbnail Image
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.
Table of content
Keywords
Publisher
AIM
Date
2019-06-03
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