Analysis and Modeling of a Boost Converter with Power Processing Reduction for PV Applications

Authors

Keywords:

DC/DC, VA modeling, Partial power processing, PV applications, Boost converter

Abstract

The use of photovoltaic (PV) systems has experienced rapid development as part of renewable energy sources. These systems require DC/DC converters with wide transformation ranges to provide regulated output voltages. In PV applications isolated from the electrical grid, output voltage levels of 24 V and 48 V have commonly been reported. Due to the inherent low efficiency of PV modules, it is essential that the converter performs highly efficient power processing in order to properly utilize the energy generated. This paper proposes the analysis of a boost converter based on the concept of Partial Power Processing (PPP) as an alternative for photovoltaic applications. The analysis and evaluation of PPP are presented through modeling in the Volt-Ampere area, as well as through the study of the dynamic effects that this type of processing introduces into the system. Additionally, the switched and linear models of the converter are developed, along with the analysis of PPP through the buffer element. Finally, the obtained results through simulations and experimental measurements are presented, demonstrating a 4.21% increase in the overall efficiency of the system compared to the conventional boost converter.

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Author Biographies

Iván Alfonso Reyes-Portillo, Universidad Autónoma de Zacatecas

Iván Alfonso Reyes Portillo received the degree of Electromechanical Engineer from the Instituto Tecnológico Superior de San Andrés Tuxtla, San Andrés Tuxtla, Veracruz, México in 2016 and the degree of Master of Science in Electronic Engineering from the Centro Nacional de Investigacion Y Desarrollo Tecnológico, Cuernavaca, Morelos, México in 2019. Obtained a Ph.D. in Electrical Engineering from the Universidad Autónoma de San Luis Potosí, San Luis Potosí, México, in 2024. He is currently a professor at the Universidad Politécnica de San Luis Potosí, in the Academy of Industrial Systems and Technologies Engineering, and an associate researcher at the Universidad Autónoma de Zacatecas. His main areas of interest are DC/DC converters, redundant power processing converters, energy storage, and renewable energies.

Saúl Rolando Méndez-Elizondo, Universidad Autonoma de San Luis Potosí

Saúl Rolando Mendez-Elizondo received the degree of Biomedical Engineer and the degree of Master´s in Electrical Engineering from the Universidad Autónoma de San Luis Potosi, San Luis Potosí, Mexico, in 2017 and 2020, respectively. He is currently a PhD. student in Electrical Engineering at the Autonomous University of San Luis Potosí.His main areas of interest are DC/DC converters, study of stability in DC microgrids, energy storage and controller design for power electronic systems.

Jorge Alberto Morales-Saldaña, Universidad Autónoma de San Luis Potosí

Jorge Alberto Morales-Saldaña received the degree of Electrical Engineer and the degrees of Master´s and Ph.D. degrees in Electrical Engineering from the Universidad Autónoma de San Luis Potosi, San Luis Potosí, Mexico, in 1995, 1997 and 1999, respectively. He currently works at the Faculty of Engineering of the same University as a Research Professor. His main areas of interest are the development of high-efficiency switching converters, DC/DC conversion systems and control engineering applied to power electronic systems.

Jorge Ulises Muñoz-Minjares , Universidad Autónoma de Zacatecas

Jorge Ulises Muñoz-Minjares  was born in Zacatecas, Mexico, in 1987. He received his B.S. degree in Communications and Electronics Engineering from the Universidad Autónoma de Zacatecas in 2010. Subsequently, he obtained his M.S. and Ph.D. degrees in Electrical Engineering from DICIS, Universidad de Guanajuato, in 2012 and 2018, respectively. He is currently a research professor at the Universidad Autónoma de Zacatecas in Zacatecas, Mexico. His research interests include digital signal and image processing, optimal filtering, and probability and statistics.

Claudia Angelica Rivera-Romero, Instituto Nacional de Astrofísica, Óptica y Electrónica

Claudia Angélica Rivera Romero a Computer Engineer graduated from the Universidad Autónoma de Zacatecas in 2006. She obtained her Master's degree in Electrical Engineering from the Universidad de Guanajuato in 2012. She obtained her PhD degree in Electrical Engineering from Universidad Autónoma de San Luis Potosí in 2021. She is currently an associate researcher at the Instituto Nacional de Astrofísica, Óptica y Electrónica (INAOE), México. Her areas of interest are digital image processing, machine learning and power electronics.

Dora Luz Castro-López, Universidad Politécnica de San Luis Potosí

Dora Luz Castro-López received the B.S. degree in Mechanical Engineering from the Universidad Autónoma de Zacatecas (UAZ), Zacatecas, in 2011, and the Master's and Ph.D. degrees in Mechanical Engineering from the Universidad Autónoma de San Luis Potosí (UASLP), San Luis Potosí, México, in 2014 and 2021, respectively. She is currently a professor at Universidad Politécnica de San Luis Potosí in the Academy of Engineering in Systems and Industrial Technologies. His research interests focus on heat transfer in biomedical systems and fluid mechanics applications. In addition, she is interested in the study of heat transfer and thermal design of power electronics systems.

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Published

2026-03-14

How to Cite

Reyes-Portillo, I. A. ., Méndez-Elizondo, S. . R., Morales-Saldaña, J. A. ., Muñoz-Minjares , J. U. ., Rivera-Romero, C. A. ., & Castro-López, D. L. (2026). Analysis and Modeling of a Boost Converter with Power Processing Reduction for PV Applications. IEEE Latin America Transactions, 24(4), 412–421. Retrieved from https://latamt.ieeer9.org/index.php/transactions/article/view/10356

Issue

Vol. 24 No. 4 (2026): Ordinary Issue

Section

Electronics