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The Optimum PV Plant for a Given Solar DC/AC Converter

Author

Listed:
  • Roberto S. Faranda

    (Politecnico Di Milano Department of Energy, Via la Masa 34, 20156 Milano, Italy)

  • Hossein Hafezi

    (Politecnico Di Milano Department of Energy, Via la Masa 34, 20156 Milano, Italy)

  • Sonia Leva

    (Politecnico Di Milano Department of Energy, Via la Masa 34, 20156 Milano, Italy)

  • Marco Mussetta

    (Politecnico Di Milano Department of Energy, Via la Masa 34, 20156 Milano, Italy)

  • Emanuele Ogliari

    (Politecnico Di Milano Department of Energy, Via la Masa 34, 20156 Milano, Italy)

Abstract

In recent years, energy production by renewable sources is becoming very important, and photovoltaic (PV) energy has became one of the main renewable sources that is widely available and easily exploitable. In this context, it is necessary to find correct tools to optimize the energy production by PV plants. In this paper, by analyzing available solar irradiance data, an analytical expression for annual DC power production for some selected places is introduced. A general efficiency curve is extracted for different solar inverter types, and by applying approximated function, a new analytical method is proposed to estimate the optimal size of a grid-connected PV plant linked up to a specific inverter from the energetic point of view. An exploitable energy objective function is derived, and several simulations for different locations have been provided. The derived analytical expression contains only the available data of the inverter (such as efficiency, nominal power, etc .) and the PV plant characteristics (such as location and PV nominal power).

Suggested Citation

  • Roberto S. Faranda & Hossein Hafezi & Sonia Leva & Marco Mussetta & Emanuele Ogliari, 2015. "The Optimum PV Plant for a Given Solar DC/AC Converter," Energies, MDPI, vol. 8(6), pages 1-18, May.
    • Handle: RePEc:gam:jeners:v:8:y:2015:i:6:p:4853-4870:d:50148
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    References listed on IDEAS

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    1. Emanuele Ogliari & Francesco Grimaccia & Sonia Leva & Marco Mussetta, 2013. "Hybrid Predictive Models for Accurate Forecasting in PV Systems," Energies, MDPI, vol. 6(4), pages 1-12, April.
    2. Alberto Dolara & Francesco Grimaccia & Sonia Leva & Marco Mussetta & Emanuele Ogliari, 2015. "A Physical Hybrid Artificial Neural Network for Short Term Forecasting of PV Plant Power Output," Energies, MDPI, vol. 8(2), pages 1-16, February.
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    Cited by:

    1. Nakamoto, Yuya & Eguchi, Shogo, 2024. "How do seasonal and technical factors affect generation efficiency of photovoltaic power plants?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 199(C).
    2. Ferdinando Chiacchio & Fabio Famoso & Diego D’Urso & Sebastian Brusca & Jose Ignacio Aizpurua & Luca Cedola, 2018. "Dynamic Performance Evaluation of Photovoltaic Power Plant by Stochastic Hybrid Fault Tree Automaton Model," Energies, MDPI, vol. 11(2), pages 1-22, January.
    3. Balfour, John & Hill, Roger & Walker, Andy & Robinson, Gerald & Gunda, Thushara & Desai, Jal, 2021. "Masking of photovoltaic system performance problems by inverter clipping and other design and operational practices," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
    4. 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.
    5. Antonio Ocana-Miguel & Jose R. Andres-Diaz & Enrique Navarrete-de Galvez & Alfonso Gago-Calderon, 2021. "Adaptation of an Insulated Centralized Photovoltaic Outdoor Lighting Installation with Electronic Control System to Improve Service Guarantee in Tropical Latitudes," Sustainability, MDPI, vol. 13(4), pages 1-19, February.
    6. 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.
    7. Zhun Meng & Yi-Feng Wang & Liang Yang & Wei Li, 2017. "Analysis of Power Loss and Improved Simulation Method of a High Frequency Dual-Buck Full-Bridge Inverter," Energies, MDPI, vol. 10(3), pages 1-18, March.
    8. Nakamoto, Yuya & Eguchi, Shogo & Takayabu, Hirotaka, 2024. "Efficiency and benchmarks for photovoltaic power generation amid uncertain conditions," Socio-Economic Planning Sciences, Elsevier, vol. 94(C).
    9. Silvestro Cossu & Roberto Baccoli & Emilio Ghiani, 2021. "Utility Scale Ground Mounted Photovoltaic Plants with Gable Structure and Inverter Oversizing for Land-Use Optimization," Energies, MDPI, vol. 14(11), pages 1-16, May.
    10. Rae-Kyun Kim & Mark B. Glick & Keith R. Olson & Yun-Su Kim, 2020. "MILP-PSO Combined Optimization Algorithm for an Islanded Microgrid Scheduling with Detailed Battery ESS Efficiency Model and Policy Considerations," Energies, MDPI, vol. 13(8), pages 1-17, April.

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