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Optimal choice and design of different topologies of DC–DC converter used in PV systems, at different climatic conditions in Egypt

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  • Farahat, M.A.
  • Metwally, H.M.B.
  • Abd-Elfatah Mohamed, Ahmed

Abstract

This paper investigates the effect of changing cell temperature and solar irradiance on the choice and design of different topologies of DC–DC converter commonly used in photovoltaic (PV) systems. Under fluctuation of climatic conditions, the maximum power point (MPP) of PV generator will change. The maximum power point tracker (MPPT) must adjust the converter duty cycle to track the new MPP. Thus the converter must be chosen to be able to match the MPP under different atmospheric conditions. In addition, when the duty cycle changes as a result of changed climatic conditions, the boundary of the converter design parameters will change. So these parameters must be chosen to achieve the highest performance at all. The study shows that, only the buck–boost and the C′uk converter are capable of achieving the optimal operation regardless of the load value. And for a permanent operation in continuous conduction mode the filter inductance for all converter topologies must be greater than the maximum value of boundary inductance. Also in order to limit the ripple in the output voltage below a certain value, the filter capacitance must be larger than the maximum value of boundary capacitance.

Suggested Citation

  • Farahat, M.A. & Metwally, H.M.B. & Abd-Elfatah Mohamed, Ahmed, 2012. "Optimal choice and design of different topologies of DC–DC converter used in PV systems, at different climatic conditions in Egypt," Renewable Energy, Elsevier, vol. 43(C), pages 393-402.
    • Handle: RePEc:eee:renene:v:43:y:2012:i:c:p:393-402
    DOI: 10.1016/j.renene.2011.10.021
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    References listed on IDEAS

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    1. Patcharaprakiti, Nopporn & Premrudeepreechacharn, Suttichai & Sriuthaisiriwong, Yosanai, 2005. "Maximum power point tracking using adaptive fuzzy logic control for grid-connected photovoltaic system," Renewable Energy, Elsevier, vol. 30(11), pages 1771-1788.
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    Cited by:

    1. Taghvaee, M.H. & Radzi, M.A.M. & Moosavain, S.M. & Hizam, Hashim & Hamiruce Marhaban, M., 2013. "A current and future study on non-isolated DC–DC converters for photovoltaic applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 17(C), pages 216-227.
    2. Mahela, Om Prakash & Shaik, Abdul Gafoor, 2017. "Comprehensive overview of grid interfaced solar photovoltaic systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 316-332.
    3. Gul Filiz Tchoketch Kebir & Cherif Larbes & Adrian Ilinca & Thameur Obeidi & Selma Tchoketch Kebir, 2018. "Study of the Intelligent Behavior of a Maximum Photovoltaic Energy Tracking Fuzzy Controller," Energies, MDPI, vol. 11(12), pages 1-20, November.
    4. Sivakumar, S. & Sathik, M. Jagabar & Manoj, P.S. & Sundararajan, G., 2016. "An assessment on performance of DC–DC converters for renewable energy applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 1475-1485.
    5. Reshma Gopi, R. & Sreejith, S., 2018. "Converter topologies in photovoltaic applications – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 1-14.
    6. Tawfiq M. Aljohani & Ahmed F. Ebrahim & Osama Mohammed, 2020. "Hybrid Microgrid Energy Management and Control Based on Metaheuristic-Driven Vector-Decoupled Algorithm Considering Intermittent Renewable Sources and Electric Vehicles Charging Lot," Energies, MDPI, vol. 13(13), pages 1-19, July.

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