A Partial Power Processing SEPIC Converter for Photovoltaic Applications
Journal
Energies
Publisher
MDPI AG
Date Issued
2026-03-16
Author(s)
Rebullosa-Castillo, Josué Francisco
García-Vite, Pedro Martín
Contreras-Alvarez, Carolina
Chavez-Muro, Jose de Jesus
Type
text::journal::journal article
Abstract
This paper presents the analysis, design, and experimental validation of a Partial Power Processing (PPP) Single-Ended Primary Inductor Converter (SEPIC) for photovoltaic (PV) applications. The proposed topology limits the fraction of processed power through the active switching stage, thereby reducing MOSFET RMS current and associated conduction losses and improving overall conversion efficiency. A complete analytical framework is developed, including steady-state modeling, state-space formulation, and small-signal analysis. The theoretical results are validated through MATLAB/Simulink simulations and laboratory-scale experimental tests under multiple loading conditions. Comparative analysis against a conventional Full Power Processing (FPP) SEPIC converter demonstrates that the proposed PPP configuration achieves efficiencies up to 95% in simulation and up to 93% experimentally, compared to 87% for the FPP counterpart under identical nominal conditions (𝑉in =18 V, 𝑓s =70 kHz). Additionally, the PPP approach reduces the MOSFET RMS current by more than 50%, which directly translates into lower conduction losses and reduced device power dissipation. The results confirm that the proposed PPP-SEPIC converter constitutes a technically viable and energy-efficient solution for photovoltaic DC–DC power conversion systems.
License
Acceso Abierto.
URL License
How to cite
Rebullosa-Castillo, J. F., García-Vite, P. M., Contreras-Alvarez, C., Chavez-Muro, J. d. J., & Robles-Campos, H. R. (2026). A Partial Power Processing SEPIC Converter for Photovoltaic Applications. Energies, 19(6), 1484. https://doi.org/10.3390/en19061484
Table of contents
1. Introduction -- 2. Proposed PPP Architecture -- 3. Converter Mathematical Model -- 4. Loss Modeling -- 5. Results and Discussion -- 6. Experimental Results -- 7. Conclusions.