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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

Spatial connection cost minimization of EV fast charging stations in electric distribution networks using local search and graph theory

Texto completo
Autor(es):
Morro-Mello, Igoor [1, 2] ; Padilha-Feltirn, Antonio [3, 1] ; Melo, Joel D. [4] ; Heymann, Fabian [5]
Número total de Autores: 4
Afiliação do(s) autor(es):
[1] Univ Estadual Paulista UNESP, Ilha Solteira - Brazil
[2] Inst SENAI Tecnol Automacao IST Automacao, Goiania, Go - Brazil
[3] Univ Estadual Campinas UNICAMP, Campinas - Brazil
[4] Univ Fed ABC UFABC, Santo Andre, SP - Brazil
[5] Inst Syst & Comp Engn Technol & Sci INESC TEC, Porto - Portugal
Número total de Afiliações: 5
Tipo de documento: Artigo Científico
Fonte: ENERGY; v. 235, NOV 15 2021.
Citações Web of Science: 1
Resumo

Fast charging stations for electric vehicles require a high-power demand, meaning that electricity distribution companies must define the connection locations within the distribution network to guarantee adequate power supply levels. Due to electric vehicle users' driving patterns and equipment's high costs, these stations must be concentrated in certain regions. This paper presents a methodology for assisting electricity distribution companies in identifying candidate connection points for fast charging stations to reduce new installations and network reinforcement investments. First, possible connection points are analyzed with graph theory to find the least costly connection; this strategy prioritizes the current network elements' unused capacity. As a second step, the electric distribution network is analyzed after fast-charging stations have been connected, evaluating the networks' operational limits. The methodology is applied in a Brazilian city combining spatial information with a realistic representation of the network and network total supply capability to connect new loads. Model outcomes are spatial maps that help identify suitable connection locations, determine new capacity values, and calculate the necessary investment. We compare the proposed methodology with other conventional approaches, demonstrating how the developed methodology can assist distribution companies in reducing overall investment and operational costs of fast charging stations for electric vehicles. (c) 2021 Elsevier Ltd. All rights reserved. (AU)

Processo FAPESP: 15/21972-6 - Otimização do planejamento e da operação de sistemas de transmissão e de distribuição de energia elétrica
Beneficiário:Rubén Augusto Romero Lázaro
Linha de fomento: Auxílio à Pesquisa - Temático
Processo FAPESP: 17/22577-9 - Sistemas de informação geográfica como ferramenta de auxílio ao planejamento das redes de distribuição de energia elétrica
Beneficiário:Joel David Melo Trujillo
Linha de fomento: Auxílio à Pesquisa - Regular
Processo FAPESP: 17/01909-3 - Professor visitante na Engenharia Elétrica da UFABC
Beneficiário:Alfeu Joãozinho Sguarezi Filho
Linha de fomento: Auxílio à Pesquisa - Pesquisador Visitante - Brasil
Processo FAPESP: 19/00466-6 - Planejamento espacial de micro redes considerando energia renováveis e veículos elétrico
Beneficiário:Joel David Melo Trujillo
Linha de fomento: Auxílio à Pesquisa - Regular