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Analysis of the effects of inverter ripple current on a photovoltaic power system by using an AC impedance model of the solar cell

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  • Kim, Wook
  • Duong, Van-Huan
  • Nguyen, Thanh-Tuan
  • Choi, Woojin

Abstract

Most of the solar cell models suggested so far mainly employ steady state modeling methods to estimate the characteristic I–V curve of a solar cell at a certain operating point. Thus a study on the dynamic characteristics of a solar cell can rarely be found. For the design of a high performance power conditioning unit, it is essential to have accurate information about the static and dynamic characteristics of the solar cell. In this study an AC impedance model of a solar cell module is developed using Impedance Spectroscopy and it is then used for evaluating the effects of the ripple current generated by a single phase inverter. Experimental results verify that the energy conversion efficiency of a photovoltaic power system may be significantly reduced when the 120 Hz ripple current generated by a single phase inverter is larger than a certain value and an appropriate limit value for the 120 Hz ripple current is also suggested.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:renene:v:59:y:2013:i:c:p:150-157
    DOI: 10.1016/j.renene.2013.03.035
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    References listed on IDEAS

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    1. Lalili, D. & Mellit, A. & Lourci, N. & Medjahed, B. & Berkouk, E.M., 2011. "Input output feedback linearization control and variable step size MPPT algorithm of a grid-connected photovoltaic inverter," Renewable Energy, Elsevier, vol. 36(12), pages 3282-3291.
    2. Kim, Jonghoon & Lee, Inhae & Tak, Yongsug & Cho, B.H., 2013. "Impedance-based diagnosis of polymer electrolyte membrane fuel cell failures associated with a low frequency ripple current," Renewable Energy, Elsevier, vol. 51(C), pages 302-309.
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    1. Cho, Younghoon, 2017. "Dual-buck residential photovoltaic inverter with a high-accuracy repetitive current controller," Renewable Energy, Elsevier, vol. 101(C), pages 168-181.
    2. Guilbert, Damien & Gaillard, Arnaud & N'Diaye, Abdoul & Djerdir, Abdesslem, 2016. "Power switch failures tolerance and remedial strategies of a 4-leg floating interleaved DC/DC boost converter for photovoltaic/fuel cell applications," Renewable Energy, Elsevier, vol. 90(C), pages 14-27.
    3. Sivakumar, P. & Arutchelvi, M., 2017. "Maximum power extractions in a single stage PV sourced grid connected inverter during low irradiations and nonlinear loads," Renewable Energy, Elsevier, vol. 107(C), pages 262-270.
    4. Torreglosa, Juan P. & García, Pablo & Fernández, Luis M. & Jurado, Francisco, 2015. "Energy dispatching based on predictive controller of an off-grid wind turbine/photovoltaic/hydrogen/battery hybrid system," Renewable Energy, Elsevier, vol. 74(C), pages 326-336.
    5. Cotfas, D.T. & Cotfas, P.A. & Kaplanis, S., 2016. "Methods and techniques to determine the dynamic parameters of solar cells: Review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 61(C), pages 213-221.

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