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José C. G. Andrade
Departamento de Sistemas e Energia, Faculdade de Engenharia Elétrica e de Computação, Universidade Estadual de Campinas, Campinas-SP, 13083-970
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Anderson D. Parreira
Centro de Pesquisa e Desenvolvimento em Telecomunicações (cpqd), Campinas-SP, 13086-902
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Bruno C. Souza
Departamento de Sistemas e Energia, Faculdade de Engenharia Elétrica e de Computação, Universidade Estadual de Campinas, Campinas-SP, 13083-970
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Bruno P. Cancian
Departamento de Sistemas e Energia, Faculdade de Engenharia Elétrica e de Computação, Universidade Estadual de Campinas, Campinas-SP, 13083-970
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Caio Santos
Departamento de Sistemas e Energia, Faculdade de Engenharia Elétrica e de Computação, Universidade Estadual de Campinas, Campinas-SP, 13083-970
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Walmir Freitas
Departamento de Sistemas e Energia, Faculdade de Engenharia Elétrica e de Computação, Universidade Estadual de Campinas, Campinas-SP, 13083-970
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Guilherme F. Rissi
CPFL Energia, Campinas-SP, 13088-900
Keywords:
Charging station, economic analysis, electric distribution system, electric vehicle, transportation system
Abstract
Electric mobility is a trending topic and motivated, among other factors, by concerns about climate change. The worldwide fleet of electric vehicles (EVs) surpassed 16-million units, a 60% increase over 2020. To support this growth, a wide, robust, and sustainable charging infrastructure becomes necessary. One of the key elements to this future is the adequate deployment of charging stations (CSs) installed in places of public access. However, the planning of this infrastructure requires a balance between the capital cost (investment), the impacts on the electric grid (upgrades), and the loss of productivity by the population (longer travel times). Therefore, this paper details the development of a computational tool with integrated technic-economic holistic analyses of electric and transportation systems. By employing real- world databases, results from a case study covering the Campinas metropolitan region show that, while the capital cost increases with the number of CSs installed, the impacts on the transportation and electric grid are reduced. Consequently, the tool helps the interested CS stakeholder to identify a cost-effective solution according to his interest.
