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Multiple Input-Single Output DC-DC Converters Assessment for Low Power Renewable Sources Integration

Author

Listed:
  • Joaquin Soldado-Guamán

    (Independent Researcher, Riobamba 060101, Ecuador)

  • Victor Herrera-Perez

    (Colegio de Ciencias e Ingenierías, Universidad San Francisco de Quito—USFQ, Quito 170901, Ecuador)

  • Mayra Pacheco-Cunduri

    (Facultad de Informática y Electrónica, Escuela Superior Politécnica de Chimborazo (ESPOCH), Riobamba 060101, Ecuador)

  • Alejandro Paredes-Camacho

    (Departamento de Ingeniería Electrónica, Grupo de Investigación MCIA, Universitat Politécnica de Catalunya—UPC, 08222 Barcelona, Spain)

  • Miguel Delgado-Prieto

    (Departamento de Ingeniería Electrónica, Grupo de Investigación MCIA, Universitat Politécnica de Catalunya—UPC, 08222 Barcelona, Spain)

  • Jorge Hernandez-Ambato

    (Facultad de Informática y Electrónica, Escuela Superior Politécnica de Chimborazo (ESPOCH), Riobamba 060101, Ecuador)

Abstract

This paper presents a comparison of Isolated (Flyback) and non-Isolated (Buck) multiple input-single output (MISO) DC-DC converters. The analysis of DC-DC converters is based on pulsed voltage source cells (PVSC). The modeling of both converter types is detailed through their mathematical models and electrical simulations using Matlab/Simulink and PSIM. The comparison focuses on the sizing parameters, non-ideal output characteristics and efficiency. Results show that the output voltage of the MISO Buck converter exhibits a linear dependence on the duty cycles control signal and has slightly higher efficiency than the Flyback converter. To validate the operation of both converters, a scenario with two inputs (low-power hydroelectric and photovoltaic voltage sources) is considered. The modeling and control of both source systems are detailed and the MISO converter performance response is evaluated under sources changes and efficiency point of view.

Suggested Citation

  • Joaquin Soldado-Guamán & Victor Herrera-Perez & Mayra Pacheco-Cunduri & Alejandro Paredes-Camacho & Miguel Delgado-Prieto & Jorge Hernandez-Ambato, 2023. "Multiple Input-Single Output DC-DC Converters Assessment for Low Power Renewable Sources Integration," Energies, MDPI, vol. 16(4), pages 1-28, February.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:4:p:1652-:d:1060399
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    References listed on IDEAS

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    1. Wang, Yujie & Tian, Jiaqiang & Sun, Zhendong & Wang, Li & Xu, Ruilong & Li, Mince & Chen, Zonghai, 2020. "A comprehensive review of battery modeling and state estimation approaches for advanced battery management systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 131(C).
    2. Affam, Azuka & Buswig, Yonis M. & Othman, Al-Khalid Bin Hj & Julai, Norhuzaimin Bin & Qays, Ohirul, 2021. "A review of multiple input DC-DC converter topologies linked with hybrid electric vehicles and renewable energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    3. Rehman, Zubair & Al-Bahadly, Ibrahim & Mukhopadhyay, Subhas, 2015. "Multiinput DC–DC converters in renewable energy applications – An overview," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 521-539.
    4. Hossain, M.Z. & Rahim, N.A. & Selvaraj, Jeyraj a/l, 2018. "Recent progress and development on power DC-DC converter topology, control, design and applications: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 205-230.
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