Fast charging stations placement and electric network connection methodology for electric taxis in urban zones

• Ano de defesa: 2018
• Autor(a) principal: Mello, Igoor Morro
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: eng
• Instituição de defesa: Universidade Estadual Paulista (Unesp)
• Palavras-chave em Português: Charging stations; Electric taxis; Power distribution system planning; Spatial load forecasting; Transportation networks; Urban infrastructures; Estações de recarga; Infraestrutura urbana; Planejamento de sistemas de distribuição de energia; Previsão espacial de carga; Rede de transportes; Táxis elétricos
• Link de acesso: http://hdl.handle.net/11449/155892

In recent years, the use of electric vehicles in urban zones has been intensified. As a policy of increasing the penetration of electric vehicles and reducing air pollution, electric taxis have been introduced into transportation systems. They need special attention because of its different driving patterns. In contrast to private electric vehicles, which can be recharged for a long period, electric taxis need to recharge only for a short time due to their constant operation. Therefore, fast charging stations are required to meet the demand for recharging electric taxis and should be located at strategic places. In addition, an analysis must be performed to connect these stations in the electric network. To improve their allocation and connectivity, this work presents a methodology to help in decision making for installing fast charging stations, considering as criteria: locations with greater flow of electric taxis and low level of state of charge, the available physical space to carry out their recharge and cost functions for the connection of charging stations. The result of the proposal is a map with the location of fast charging stations and analysis of the lowest cost places for connection to the network. The methodology is tested in a medium-sized city in Brazil, showing the importance of this map and cost functions in decision making. The proposal is compared with another methodology, showing that the proposed method considers different criteria and creates a better spatial distribution of charging stations giving better options to the owners of electric taxis.