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Transient Analysis of Large Scale PV Systems with Floating DC Section

Author

Listed:
  • Morris Brenna

    (Politecnico di Milano, Via La Masa 34, 20156 Milan, Italy)

  • Alberto Dolara

    (Politecnico di Milano, Via La Masa 34, 20156 Milan, Italy)

  • Federica Foiadelli

    (Politecnico di Milano, Via La Masa 34, 20156 Milan, Italy)

  • George C. Lazaroiu

    (University Politehnica of Bucharest, Splaiul Independentei 313, 060042 Bucharest, Romania)

  • Sonia Leva

    (Politecnico di Milano, Via La Masa 34, 20156 Milan, Italy)

Abstract

The increasing penetration of renewable sources with power-electronic interfaces in power systems is raising technical problems and the overall efficiency of photovoltaic systems can decrease dramatically. In this context, the optimal layout for the photovoltaic system is required. The most adequate strategy to connect the renewable system to the electrical power grid or to supply the end users must be adopted. The present paper proposes a design layout of a PV plant using a DC bus system to improve the overall energy conversion efficiency. An analysis of steady-state system stability, voltage drop and DC cable conduction losses is conducted. The leakage currents to the ground are investigated through simulations. Experimental results are shown focused on the analysis of optimal layout of photovoltaic systems under particular operating conditions.

Suggested Citation

  • Morris Brenna & Alberto Dolara & Federica Foiadelli & George C. Lazaroiu & Sonia Leva, 2012. "Transient Analysis of Large Scale PV Systems with Floating DC Section," Energies, MDPI, vol. 5(10), pages 1-17, September.
    • Handle: RePEc:gam:jeners:v:5:y:2012:i:10:p:3736-3752:d:20344
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    Citations

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    Cited by:

    1. Mingqi Wang & Xinqiao Zheng, 2017. "Sensitivity Analysis of Time Length of Photovoltaic Output Power to Capacity Configuration of Energy Storage Systems," Energies, MDPI, vol. 10(10), pages 1-15, October.
    2. Wahiba Yaïci & Michela Longo & Evgueniy Entchev & Federica Foiadelli, 2017. "Simulation Study on the Effect of Reduced Inputs of Artificial Neural Networks on the Predictive Performance of the Solar Energy System," Sustainability, MDPI, vol. 9(8), pages 1-14, August.
    3. Mingxuan Chen & Suliang Ma & Haiyong Wan & Jianwen Wu & Yuan Jiang, 2018. "Distributed Control Strategy for DC Microgrids of Photovoltaic Energy Storage Systems in Off-Grid Operation," Energies, MDPI, vol. 11(10), pages 1-19, October.
    4. Dolara, Alberto & Lazaroiu, George Cristian & Leva, Sonia & Manzolini, Giampaolo, 2013. "Experimental investigation of partial shading scenarios on PV (photovoltaic) modules," Energy, Elsevier, vol. 55(C), pages 466-475.

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