PPGENE PÓS-GRADUAÇÃO EM ENERGIA FUNDAÇÃO UNIVERSIDADE FEDERAL DO ABC Phone: (11) 4996-0145 http://propg.ufabc.edu.br/ppgene

Banca de QUALIFICAÇÃO: JOSÉ CALIXTO LOPES JÚNIOR

Uma banca de QUALIFICAÇÃO de DOUTORADO foi cadastrada pelo programa.
STUDENT : JOSÉ CALIXTO LOPES JÚNIOR
DATE: 20/06/2023
TIME: 09:00
LOCAL: Sala 205 do Bloco Zeta do Campus de São Bernardo do Campo da Universidade Federal do ABC
TITLE:

LOAD CURVE ESTIMATE FOR ELECTRIC VEHICLE CHARGING INFRASTRUCTURE: A MULTIDISCIPLINARY MODEL


PAGES: 83
BIG AREA: Engenharias
AREA: Engenharia Elétrica
SUBÁREA: Sistemas Elétricos de Potência
SPECIALTY: Transmissão da Energia Elétrica, Distribuição da Energia Elétrica
SUMMARY:

The vehicle electrification is a contemporary phenomenon and means gradually replacing the motor source of the most diverse modes of transport. However, the high cost of electric vehicles (EVs) compared to conventional combustion vehicles, in addition to the lack of charging infrastructure, are impeding factors. Furthermore, despite the many advantages, high EV penetration causes problems in the power distribution network: it worsens quality indices, causes voltage fluctuations, increases harmonic distortion, among others. However, it is in the context of planning the distribution system that the contribution of this thesis is located. Faced with the inevitable, it is necessary to consider the possibility of high simultaneity in the use of the charging infrastructure, which may result in the need for reinforcements in the network. If, on the one hand, there are barriers to the diffusion of EVs, on the other hand, due to the presence of charging stations, their geographic location and the amount of energy withdrawn from the electrical grid, they also pose challenges for planners. EV loading features a peculiar type of load with unique behavior and still unknown to planners. Measurement campaigns are not possible in this case, as the fleet and charging infrastructure are not yet consolidated. For this reason, it is extremely difficult to predict the behavior of demand at a time when penetration is still low or non-existent in many places, with little or no measurement available. Thus, this thesis aims to contribute in this area, proposing a model that estimates demand curves for the charging infrastructure and identifies, graphically and spatially, any needs for reinforcements in the electrical network, showing the periods of peak demand throughout a typical day.


COMMITTEE MEMBERS:
Presidente - Interno ao Programa - 1876380 - THALES SOUSA
Membro Titular - Examinador(a) Interno ao Programa - 1544340 - PATRICIA TEIXEIRA LEITE ASANO
Membro Titular - Examinador(a) Externo ao Programa - 1762419 - CARLOS EDUARDO CAPOVILLA
Membro Suplente - Examinador(a) Interno ao Programa - 1907748 - ALFEU JOAOZINHO SGUAREZI FILHO
Membro Suplente - Examinador(a) Externo ao Programa - 1544371 - JORGE TOMIOKA
Notícia cadastrada em: 23/05/2023 07:59
SIGAA | UFABC - Núcleo de Tecnologia da Informação - ||||| | Copyright © 2006-2024 - UFRN - sigaa-2.ufabc.int.br.sigaa-2-prod