DocumentCode :
3651408
Title :
Evaluation of the impact of electric vehicles on distribution systems combining deterministic and probabilistic approaches
Author :
Franz H. Pereyra Zamora;Henrique Kagan;Marcelo A. Pelegrini;Luiz G. Gardiman;Lucca Zamboni;Márcio Gavazzi;Marco A. P. Fredes;Carlos A. M. Gonçalves;João Paulo Niggli Silva
Author_Institution :
SINAPSIS Inovacao em Energia, Brazil
fYear :
2013
fDate :
6/1/2013 12:00:00 AM
Firstpage :
1
Lastpage :
4
Abstract :
This paper presents a methodology for assessment of the impacts on the distribution network faced with the presence of electric vehicles (EV) and aims at its application in the distribution networks of two power utilities in Brazil. The impact on the electrical system is originated by the loads on the network, which are represented by particular and typical load curves associated to consumers, and theoretical models of load curves of batteries. The allocation of the load associated to EV in the network is made through deterministic and probabilistic algorithms. The assignment of the type of battery to each EV, of the state of charge of battery and time of charging, use probability distribution functions obtained in the field or curves of theoretical probability distribution functions. Regarding to the form of loading to be made by EV are analyzed the possibilities to happen uncontrolled charging at the time of the peak, loading considering a dual tariff and other approach considers the intelligent charging to have better control and use of the network. The impact on distribution networks is determined by the diagnosis of network elements, and systematic monitoring of the loading of feeders, secondary networks and distribution transformers and check the values of the voltage profile, voltage unbalance and loss. The methodological approach enables the computational implementation of a series of modules within a simulation platform.
Publisher :
iet
Conference_Titel :
Electricity Distribution (CIRED 2013), 22nd International Conference and Exhibition on
Type :
conf
DOI :
10.1049/cp.2013.0975
Filename :
6683578
Link To Document :
بازگشت