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Modeling and control of a push-pull converter for photovoltaic microinverters operating in island mode

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  • Trujillo, C.L.
  • Velasco, D.
  • Figueres, E.
  • Garcerá, G.
  • Ortega, R.

Abstract

This paper presents the modeling and control of a push-pull converter integrated into a two-stage photovoltaic microinverter operating in island mode without backup energy storage components (batteries). A push-pull small signal model is presented, from which they are derived all transfer functions needed to implement the controllers that regulate the output current, input voltage and output voltage interacting with the MPPT algorithm. A significant contribution of the paper is the proposal of an innovative control structure that simultaneously regulates in island mode both the ac voltage and the dc voltage of the panels, in order to place it in the best operation point. Such operation point is calculated by a specific control loop that interacts with the MPPT algorithm. To validate the proposed concept, simulations in PSIM(TM) were carried out.

Suggested Citation

  • Trujillo, C.L. & Velasco, D. & Figueres, E. & Garcerá, G. & Ortega, R., 2011. "Modeling and control of a push-pull converter for photovoltaic microinverters operating in island mode," Applied Energy, Elsevier, vol. 88(8), pages 2824-2834, August.
    • Handle: RePEc:eee:appene:v:88:y:2011:i:8:p:2824-2834
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    Cited by:

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    2. Wang, Qin & Yao, Wei & Fang, Jiakun & Ai, Xiaomeng & Wen, Jinyu & Yang, Xiaobo & Xie, Hailian & Huang, Xing, 2020. "Dynamic modeling and small signal stability analysis of distributed photovoltaic grid-connected system with large scale of panel level DC optimizers," Applied Energy, Elsevier, vol. 259(C).
    3. Chen, Yen-Haw & Lu, Su-Ying & Chang, Yung-Ruei & Lee, Ta-Tung & Hu, Ming-Che, 2013. "Economic analysis and optimal energy management models for microgrid systems: A case study in Taiwan," Applied Energy, Elsevier, vol. 103(C), pages 145-154.
    4. Çelik, Özgür & Teke, Ahmet & Tan, Adnan, 2018. "Overview of micro-inverters as a challenging technology in photovoltaic applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 3191-3206.
    5. Zhifu, Wang & Yupu, Wang & Yinan, Rong, 2017. "Design of closed-loop control system for a bidirectional full bridge DC/DC converter," Applied Energy, Elsevier, vol. 194(C), pages 617-625.
    6. Hu, Ming-Che & Lu, Su-Ying & Chen, Yen-Haw, 2016. "Stochastic programming and market equilibrium analysis of microgrids energy management systems," Energy, Elsevier, vol. 113(C), pages 662-670.
    7. Yilmaz, Saban & Dincer, Furkan, 2017. "Impact of inverter capacity on the performance in large-scale photovoltaic power plants – A case study for Gainesville, Florida," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 15-23.
    8. Daraban, Stefan & Petreus, Dorin & Morel, Cristina, 2014. "A novel MPPT (maximum power point tracking) algorithm based on a modified genetic algorithm specialized on tracking the global maximum power point in photovoltaic systems affected by partial shading," Energy, Elsevier, vol. 74(C), pages 374-388.

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