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

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 tha...

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Bibliographic Details
Published in:Energies (Basel) 2023-03, Vol.16 (6), p.2510
Main Authors: Solis-Rodriguez, Jose, Rosas-Caro, Julio C., Alejo-Reyes, Avelina, Valdez-Resendiz, Jesus E.
Format: Article
Language:English
Subjects:
Algorithms
Alternative energy sources
Capacitance
Capacitors
Circuits
Design optimization
Diodes
Electric current converters
Energy resources
Energy storage
Fuel cells
Internal energy
Mathematical models
Methods
Optimization
quadratic boost converter
Renewable resources
selection of capacitors
Topology
Transistors
Voltage converters (DC to DC)
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Summary: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.
ISSN:1996-1073
1996-1073
DOI:10.3390/en16062510