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Charging coordination of an electric vehicle fleet in a recharging garage

Grant number: 22/10650-1
Support Opportunities:Scholarships in Brazil - Scientific Initiation
Effective date (Start): November 01, 2022
Effective date (End): October 31, 2023
Field of knowledge:Engineering - Electrical Engineering - Power Systems
Principal Investigator:Marcos Julio Rider Flores
Grantee:Guilherme Kenzo Assaf Yamaguti
Host Institution: Faculdade de Engenharia Elétrica e de Computação (FEEC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil
Associated research grant:21/11380-5 - CPTEn - São Paulo Center for the Study of Energy Transition, AP.CCD

Abstract

The problem of coordinating the charging of a fleet of electric vehicles (EVs) in a recharging garage consists of determining the best schedule for recharging the EVs fleet in order to minimize the total charging time in an established recharging period, respecting the capacity of the distribution transformer in the recharging garage. The scientific initiation work aims to develop a methodology based on a mathematical model of mixed-integer linear programming (MILP) to solve the problem of charging coordination of an EVs fleet in a recharging garage. The proposed methodology uses linearization techniques to obtain a MILP model with a good approximation of the original mixed-integer nonlinear programming (MINLP) model. A PLIM model has the following benefits: (a) a robust, generic and flexible mathematical model; (b) an efficient computational solution with conventional solvers; and (c) using classical optimization techniques, the convergence to the optimal solution is guaranteed. The model will be implemented in the AMPL mathematical modeling language and solved using the CPLEX commercial solver.

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