Optimal Selection of Capacitors for a Low Energy Storage Quadratic Boost Converter (LES-QBC)
Jose Solis-Rodriguez,
Julio C. Rosas-Caro (),
Avelina Alejo-Reyes () and
Jesus E. Valdez-Resendiz
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Jose Solis-Rodriguez: Facultad de Ingeniería, Universidad Panamericana, Alvaro del Portillo 49, Zapopan 45010, Mexico
Julio C. Rosas-Caro: Facultad de Ingeniería, Universidad Panamericana, Alvaro del Portillo 49, Zapopan 45010, Mexico
Avelina Alejo-Reyes: Facultad de Ingeniería, Universidad Panamericana, Alvaro del Portillo 49, Zapopan 45010, Mexico
Jesus E. Valdez-Resendiz: Tecnologico de Monterrey, Av. Eugenio Garza Sada 2501, Monterrey 64849, Mexico
Energies, 2023, vol. 16, issue 6, 1-17
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.
Keywords: optimization; selection of capacitors; quadratic boost converter (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (2)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:16:y:2023:i:6:p:2510-:d:1089532
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