Smart charging strategy of electric vehicles for multiple aggregators, using heuristic optimization

SERGIO RIVERA; ROMERO, ANDRÉS; CARLOS MÉNDEZ; CORIA PANTANO, GUSTAVO EZEQUIEL; JERSON MEJÍA; SANCHEZ, ANGEL M.

Journal de Ciencia e Ingeniería

Corporación Universitaria Autónoma del Cauca

Año: 2020 vol. 12 p. 20 - 32

2145-2628

The present paper proposes a solution, by means of heuristic methods, to the problem of charging 150 electric vehicles, through 32 aggregators from a main transformer. The proposed solution is based on previous studies for an analytical optimization method, which works with up to 7 aggregators. This solution is achieved through the use of linear equations that limit the cost and the available load for the system, by using the "fmincom"function of the Matlab® software, which uses analytical optimization solution methods. Additionally, a heuristic optimization strategy is carried out based on the DEEPSO method ( combination of particle swarm and dierential evolution) and using the same restrictions but verifying that the strategy fullls the proposed objective. The results obtained in the optimization are shown, and a comparative analysis of the methods is carried out.