Optimal Selection of Capacitors for a Low Energy Storage Quadratic Boost Converter (LES-QBC)

Author:

Solis-Rodriguez Jose1,Rosas-Caro Julio C.1ORCID,Alejo-Reyes Avelina1ORCID,Valdez-Resendiz Jesus E.2ORCID

Affiliation:

1. Facultad de Ingeniería, Universidad Panamericana, Alvaro del Portillo 49, Zapopan 45010, Mexico

2. Tecnologico de Monterrey, Av. Eugenio Garza Sada 2501, Monterrey 64849, Mexico

Abstract

This article studies a recently proposed dc-dc converter and its optimization in terms of capacitors selection through the Particle Swarm Optimization (PSO) algorithm. The converter under study is the so-called Low Energy Storage Quadratic Boost Converter (LES-QBC), a quadratic type of converter that offers a smaller Output Voltage Ripple (OVR) compared to the traditional quadratic boost topology with capacitors of the same characteristics. This study presents a way to select the capacitors for minimizing the OVR while achieving a constraint of a maximum stored energy in capacitors. The capacitor’s stored energy is given as a design specification. The results are compared against the traditional quadratic boost converter and the LES-QBC without optimization (equal capacitance in capacitors). The optimization algorithm used was the so-called Particle Swarm Optimization (PSO). The experimental results demonstrate the effectiveness of the proposition. For the design exercise used for the results, the capacitor’s stored energy was kept almost the same, and a reduction in the OVR was achieved versus the non-optimized LES-QBC.

Funder

Universidad Panamericana

Publisher

MDPI AG

Subject

Energy (miscellaneous),Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Electrical and Electronic Engineering,Control and Optimization,Engineering (miscellaneous),Building and Construction

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