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Continuous-Input Continuous-Output Current Buck-Boost DC/DC Converters for Renewable Energy Applications: Modelling and Performance Assessment

Author

Listed:
  • Nahla E. Zakzouk

    (Electrical and Control Engineering Department, Arab Academy for Science, Technology and Maritime Transport, Alexandria 1029, Egypt)

  • Ahmed K. Khamis

    (Electrical and Control Engineering Department, Arab Academy for Science, Technology and Maritime Transport, Alexandria 1029, Egypt)

  • Ahmed K. Abdelsalam

    (Electrical and Control Engineering Department, Arab Academy for Science, Technology and Maritime Transport, Alexandria 1029, Egypt)

  • Barry W. Williams

    (Electronics and Electrical Engineering Department, Strathclyde University, Glasgow G11XW, UK)

Abstract

Stand-alone/grid connected renewable energy systems (RESs) require direct current (DC)/DC converters with continuous-input continuous-output current capabilities as maximum power point tracking (MPPT) converters. The continuous-input current feature minimizes the extracted power ripples while the continuous-output current offers non-pulsating power to the storage batteries/DC-link. CUK, D1 and D2 DC/DC converters are highly competitive candidates for this task especially because they share similar low-component count and functionality. Although these converters are of high resemblance, their performance assessment has not been previously compared. In this paper, a detailed comparison between the previously mentioned converters is carried out as several aspects should be addressed, mainly the converter tracking efficiency, conversion efficiency, inductor loss, system modelling, transient and steady-state performance. First, average model and dynamic analysis of the three converters are derived. Then, D1 and D2 small signal analysis in voltage-fed-mode is originated and compared to that of CUK in order to address the nature of converters’ response to small system changes. Finally, the effect of converters’ inductance variation on their performance is studied using rigorous simulation and experimental implementation under varying operating conditions. The assessment finally revels that D1 converter achieves the best overall efficiency with minimal inductor value.

Suggested Citation

  • Nahla E. Zakzouk & Ahmed K. Khamis & Ahmed K. Abdelsalam & Barry W. Williams, 2019. "Continuous-Input Continuous-Output Current Buck-Boost DC/DC Converters for Renewable Energy Applications: Modelling and Performance Assessment," Energies, MDPI, vol. 12(11), pages 1-27, June.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:11:p:2208-:d:238632
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    References listed on IDEAS

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    1. Haidar Islam & Saad Mekhilef & Noraisyah Binti Mohamed Shah & Tey Kok Soon & Mehdi Seyedmahmousian & Ben Horan & Alex Stojcevski, 2018. "Performance Evaluation of Maximum Power Point Tracking Approaches and Photovoltaic Systems," Energies, MDPI, vol. 11(2), pages 1-24, February.
    2. Victor Andrean & Pei Cheng Chang & Kuo Lung Lian, 2018. "A Review and New Problems Discovery of Four Simple Decentralized Maximum Power Point Tracking Algorithms—Perturb and Observe, Incremental Conductance, Golden Section Search, and Newton’s Quadratic Int," Energies, MDPI, vol. 11(11), pages 1-25, November.
    3. Jaw-Kuen Shiau & Min-Yi Lee & Yu-Chen Wei & Bo-Chih Chen, 2014. "Circuit Simulation for Solar Power Maximum Power Point Tracking with Different Buck-Boost Converter Topologies," Energies, MDPI, vol. 7(8), pages 1-20, August.
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    Cited by:

    1. Nahla E. Zakzouk & Ahmed K. Abdelsalam & Ahmed A. Helal & Barry W. Williams, 2020. "High Performance Single-Phase Single-Stage Grid-Tied PV Current Source Inverter Using Cascaded Harmonic Compensators," Energies, MDPI, vol. 13(2), pages 1-29, January.
    2. Li, Xiangrong & Zhu, Shaoying & Yüksel, Serhat & Dinçer, Hasan & Ubay, Gözde Gülseven, 2020. "Kano-based mapping of innovation strategies for renewable energy alternatives using hybrid interval type-2 fuzzy decision-making approach," Energy, Elsevier, vol. 211(C).

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