Differential Evolution Based Algorithm for Optimal Current Ripple Cancelation in an Unequal Interleaved Power Converter
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Fecha
2021-10
Autores
Rosas-Caro, Julio C.
García-Vite, Pedro M.
Mendoza, Abraham
Alejo-Reyes, Avelina
Cuevas, Erik
Beltran-Carbajal, Francisco
Rodríguez-Vázquez, Alma N.
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Editor
MDPI
Resumen
Descripción
This paper proposes an optimal methodology based on the Differential Evolution algorithm
for obtaining the set of duty cycles of a recently proposed power electronics converter with input
current ripple cancelation capability. The converter understudy was recently introduced to the
state-of-the-art as the interleaved connection of two unequal converters to achieve low input current
ripple. A latter contribution proposed a so-called proportional strategy. The strategy can be described
as the equations to relate the duty cycles of the unequal power stages. This article proposes a third
switching strategy that provides a lower input current ripple than the proportional strategy. This is
made by considering duty cycles independently of each other instead of proportionally. The proposed
method uses the Differential Evolution algorithm to determine the optimal switching pattern that
allows high quality at the input current side, given the reactive components, the switching frequency,
and power levels. The mathematical model of the converter is analyzed, and thus, the decision
variables and the optimization problem are well set. The proposed methodology is validated through
numerical experimentation, which shows that the proposed method achieves lower input current
ripples than the proportional strategy.
Palabras clave
Differential Evolution, DC–DC converter, Metaheuristic Algorithms, Optimization
Citación
Rosas-Caro, J.C.; García-Vite, P.M.; Rodríguez-Vázquez, A.N.; Mendoza, A.; Alejo-Reyes, A.; Cuevas, E.; Beltran-Carbajal, F. Differential Evolution Based Algorithm for Optimal Current Ripple Cancelation in an Unequal Interleaved Power Converter. Mathematics 2021, 9, 2755. https://doi.org/10.3390/math9212755