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Mathematical and graphical approach for maximum power point modelling

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  • Papaioannou, Ioulia T.
  • Purvins, Arturs

Abstract

This paper proposes a new maximum power point (MPP) model based on datasheets of photovoltaic (PV) panels and on a specific equivalent circuit. Initially, a graphical approach is implemented in order to express the characteristic parameters of PV panels as a function of solar irradiance and panel temperature. These values are used further in a mathematical approach, which implements the equations of the equivalent circuit of a PV panel to calculate MPP voltage, current and power. Furthermore, the proposed maximum power point model is compared and verified against data obtained in field measurements, and also compared with the fill factor method and with respective data for 14 PV panels. The model can be used for PV plant simulations where an accurate and easy to use model of MPP is required to be deployed under operating conditions which are not covered by the datasheets.

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  • Papaioannou, Ioulia T. & Purvins, Arturs, 2012. "Mathematical and graphical approach for maximum power point modelling," Applied Energy, Elsevier, vol. 91(1), pages 59-66.
    • Handle: RePEc:eee:appene:v:91:y:2012:i:1:p:59-66
    DOI: 10.1016/j.apenergy.2011.09.005
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    References listed on IDEAS

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    1. Ammar, Mohsen Ben & Chaabene, Maher & Elhajjaji, Ahmed, 2010. "Daily energy planning of a household photovoltaic panel," Applied Energy, Elsevier, vol. 87(7), pages 2340-2351, July.
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    4. Hassaine, L. & Olias, E. & Quintero, J. & Haddadi, M., 2009. "Digital power factor control and reactive power regulation for grid-connected photovoltaic inverter," Renewable Energy, Elsevier, vol. 34(1), pages 315-321.
    5. Houssamo, Issam & Locment, Fabrice & Sechilariu, Manuela, 2010. "Maximum power tracking for photovoltaic power system: Development and experimental comparison of two algorithms," Renewable Energy, Elsevier, vol. 35(10), pages 2381-2387.
    6. Zhou, Wei & Yang, Hongxing & Fang, Zhaohong, 2007. "A novel model for photovoltaic array performance prediction," Applied Energy, Elsevier, vol. 84(12), pages 1187-1198, December.
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    Cited by:

    1. Pal, Rudra Sankar & Mukherjee, V., 2020. "Metaheuristic based comparative MPPT methods for photovoltaic technology under partial shading condition," Energy, Elsevier, vol. 212(C).
    2. Yu, Moduo & Huang, Wentao & Tai, Nengling & Zheng, Xiaodong & Wu, Pan & Chen, Weidong, 2018. "Transient stability mechanism of grid-connected inverter-interfaced distributed generators using droop control strategy," Applied Energy, Elsevier, vol. 210(C), pages 737-747.
    3. Sánchez Reinoso, Carlos R. & Milone, Diego H. & Buitrago, Román H., 2013. "Simulation of photovoltaic centrals with dynamic shading," Applied Energy, Elsevier, vol. 103(C), pages 278-289.
    4. Ahmed, Jubaer & Salam, Zainal, 2014. "A Maximum Power Point Tracking (MPPT) for PV system using Cuckoo Search with partial shading capability," Applied Energy, Elsevier, vol. 119(C), pages 118-130.
    5. Salam, Zainal & Ahmed, Jubaer & Merugu, Benny S., 2013. "The application of soft computing methods for MPPT of PV system: A technological and status review," Applied Energy, Elsevier, vol. 107(C), pages 135-148.
    6. Lo Brano, Valerio & Ciulla, Giuseppina, 2013. "An efficient analytical approach for obtaining a five parameters model of photovoltaic modules using only reference data," Applied Energy, Elsevier, vol. 111(C), pages 894-903.

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