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Dual-buck residential photovoltaic inverter with a high-accuracy repetitive current controller

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  • Cho, Younghoon

Abstract

This paper describes a dual-buck inverter (DBI) for residential photovoltaic power conversion systems. The DBI consists of unidirectional and bidirectional switching legs, which are operated at different frequencies to attain high efficiency. The operation modes of the DBI are analyzed and a third- order control model is derived based on the analysis. Since the third-order model cannot be easily handled by the current controller design, a simple first order-model is obtained with proper assumptions and manipulations. After this, a repetitive current controller using the first-order model is designed to improve the accuracy of the current regulation in both continuous and discontinuous conduction modes. Due to the universal operation of the designed repetitive controller, the tracking accuracy for a low power reference is drastically enhanced, and this significantly improves the maximum power point tracking (MPPT) ability of the PV system. In order to verify the performance of the proposed scheme, a 3-kW DBI prototype was built and tested. The experimental results demonstrate that the proposed scheme not only reduces the total harmonic distortion of the output current, but also achieves highly accurate power tracking performance with high efficiency.

Suggested Citation

  • Cho, Younghoon, 2017. "Dual-buck residential photovoltaic inverter with a high-accuracy repetitive current controller," Renewable Energy, Elsevier, vol. 101(C), pages 168-181.
  • Handle: RePEc:eee:renene:v:101:y:2017:i:c:p:168-181
    DOI: 10.1016/j.renene.2016.08.050
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    References listed on IDEAS

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    1. Mehdi Seyedmahmoudian & Ben Horan & Rasoul Rahmani & Aman Maung Than Oo & Alex Stojcevski, 2016. "Efficient Photovoltaic System Maximum Power Point Tracking Using a New Technique," Energies, MDPI, vol. 9(3), pages 1-18, March.
    2. Collins, L. & Ward, J.K., 2015. "Real and reactive power control of distributed PV inverters for overvoltage prevention and increased renewable generation hosting capacity," Renewable Energy, Elsevier, vol. 81(C), pages 464-471.
    3. Graditi, G. & Adinolfi, G. & Tina, G.M., 2014. "Photovoltaic optimizer boost converters: Temperature influence and electro-thermal design," Applied Energy, Elsevier, vol. 115(C), pages 140-150.
    4. Kim, Wook & Duong, Van-Huan & Nguyen, Thanh-Tuan & Choi, Woojin, 2013. "Analysis of the effects of inverter ripple current on a photovoltaic power system by using an AC impedance model of the solar cell," Renewable Energy, Elsevier, vol. 59(C), pages 150-157.
    5. Abdalla, I. & Corda, J. & Zhang, L., 2016. "Optimal control of a multilevel DC-link converter photovoltaic system for maximum power generation," Renewable Energy, Elsevier, vol. 92(C), pages 1-11.
    6. Sabzali, Ahmad J. & Ismail, Esam H. & Behbehani, Hussain M., 2015. "High voltage step-up integrated double Boost–Sepic DC–DC converter for fuel-cell and photovoltaic applications," Renewable Energy, Elsevier, vol. 82(C), pages 44-53.
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    Cited by:

    1. Hwang, Duck-Hwan & Lee, Jung-Yong & Cho, Younghoon, 2018. "Single-phase single-stage dual-buck photovoltaic inverter with active power decoupling strategy," Renewable Energy, Elsevier, vol. 126(C), pages 454-464.
    2. Jinwoo Kim & Sanghun Han & Wontae Cho & Younghoon Cho & Hyunsoo Koh, 2018. "Design and Analysis of a Repetitive Current Controller for a Single-Phase Bridgeless SEPIC PFC Converter," Energies, MDPI, vol. 12(1), pages 1-17, December.
    3. Bahrami, Milad & Gavagsaz-Ghoachani, Roghayeh & Zandi, Majid & Phattanasak, Matheepot & Maranzanaa, Gaël & Nahid-Mobarakeh, Babak & Pierfederici, Serge & Meibody-Tabar, Farid, 2019. "Hybrid maximum power point tracking algorithm with improved dynamic performance," Renewable Energy, Elsevier, vol. 130(C), pages 982-991.

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