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Impact of inverter configuration on energy cost of grid-connected photovoltaic systems

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  • He, Fanbo
  • Zhao, Zhengming
  • Yuan, Liqiang

Abstract

This paper proposes a method to evaluate and optimize inverter configurations for grid-connected PV systems. It is studied by Monte-Carlo analysis that how the inverter configuration and its operation strategy would impact on lifetime energy yield and the levelized cost of energy (LCOE) considering the PV array scale, environmental conditions, system cost, inverter efficiency and reliability. The efficiency characteristic of parallel inverters with a common DC bus is deliberated along with the optimal operation strategy. Inverter system performance ratio (ISPR) is proposed as an overall index of lifetime energy conversion efficiency. A case study is performed to demonstrate the proposed method. It shows that the configuration with a common DC bus is a potential solution to reduce the energy cost of PV power generation systems. As ancillary results, it is found that optimizing the PV panel orientation can improve the probability distribution of solar irradiance on the panel, and it is confirmed that an oversized PV array may help reduce the energy cost.

Suggested Citation

  • He, Fanbo & Zhao, Zhengming & Yuan, Liqiang, 2012. "Impact of inverter configuration on energy cost of grid-connected photovoltaic systems," Renewable Energy, Elsevier, vol. 41(C), pages 328-335.
    • Handle: RePEc:eee:renene:v:41:y:2012:i:c:p:328-335
    DOI: 10.1016/j.renene.2011.11.030
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    Citations

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    Cited by:

    1. Barghi Latran, Mohammad & Teke, Ahmet, 2015. "Investigation of multilevel multifunctional grid connected inverter topologies and control strategies used in photovoltaic systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 361-376.
    2. Hassaine, L. & OLias, E. & Quintero, J. & Salas, V., 2014. "Overview of power inverter topologies and control structures for grid connected photovoltaic systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 796-807.
    3. Good, Jeremy & Johnson, Jeremiah X., 2016. "Impact of inverter loading ratio on solar photovoltaic system performance," Applied Energy, Elsevier, vol. 177(C), pages 475-486.
    4. Mirhassani, SeyedMohsen & Ong, Hwai Chyuan & Chong, W.T. & Leong, K.Y., 2015. "Advances and challenges in grid tied photovoltaic systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 121-131.
    5. Ngoc Thien Le & Watit Benjapolakul, 2019. "Evaluation of Contribution of PV Array and Inverter Configurations to Rooftop PV System Energy Yield Using Machine Learning Techniques," Energies, MDPI, vol. 12(16), pages 1-13, August.
    6. Aste, Niccolò & Del Pero, Claudio & Leonforte, Fabrizio & Manfren, Massimiliano, 2013. "A simplified model for the estimation of energy production of PV systems," Energy, Elsevier, vol. 59(C), pages 503-512.
    7. Chen, Hsing Hung & Lee, Amy H.I. & Chen, Silu, 2014. "Strategic policy to select suitable intermediaries for innovation to promote PV solar energy industry in China," Applied Energy, Elsevier, vol. 115(C), pages 429-437.

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