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| Author(s): |
José Carlos Garcia Andrade
Total Authors: 1
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| Document type: | Doctoral Thesis |
| Press: | Campinas, SP. |
| Institution: | Universidade Estadual de Campinas (UNICAMP). Faculdade de Engenharia Elétrica e de Computação |
| Defense date: | 2020-10-26 |
| Examining board members: |
Walmir de Freitas Filho;
Carolina de Mattos Affonso;
Antonio Carlos Zambroni de Souza;
Madson Cortes de Almeida;
Marcos Julio Rider Flores
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| Advisor: | Walmir de Freitas Filho |
| Abstract | |
Electric vehicle (EV) fleet has constantly increased over the last years and higher adoption is expected in the coming decades. A key aspect to support and boost the EV uptake is the adequate availability (number, locations, and sizes) of fast charging stations (FCSs) to enable inter and intra-city travels. As these studies require the modelling of large geographical regions and several uncertainties, increasing considerably the dimension and complexity of the problem, a methodology able to provide the least-cost solution might be more relevant from a practical application perspective than a classical optimization-based approach. In this Ph.D. thesis is, therefore, proposed a scalable and holistic methodology that integrates high-resolution data of traffic flow and simulations of multi-phase electrical distribution systems to be applied to metropolitan areas to find number, locations, and sizes of FCSs considering the least societal cost and uncertainties in driving patterns. First, potential FCSs locations are determined based on traffic flow and then progressively explored to quantify capital (equipment and land) and indirect costs (loss of productivity related to the traffic flow, and necessity of reinforcements related to the electrical system) to obtain the least-cost solution. The applicability of the proposed method is evaluated by using a Brazilian real case study comprising a metropolitan region with 6 cities and 26 primary substations. The flexibility of the proposed approach is also investigated by adapting the original model considering the perspective of third-part investors, as FCSs is determined as a long-term investment that must be well-planned considering as many aspects as possible. Finally, the proposed concept is also applied to analyse the potential of grid-edge technologies, such as photovoltaic generators and energy storage systems, to reduce the impacts of FCSs in the electric system and reduce the long-term costs (AU) | |
| FAPESP's process: | 15/24448-6 - Holistic Optimal Allocation of Fast Charging Electric Vehicles Stations |
| Grantee: | José Carlos Garcia Andrade |
| Support Opportunities: | Scholarships in Brazil - Doctorate |