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Differentiation of multiple maximum power points of partially shaded photovoltaic power generators

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  • Mäki, Anssi
  • Valkealahti, Seppo

Abstract

Partial shading conditions have a major effect on the electrical characteristics of photovoltaic (PV) power generators. In this paper, the effects of partial shading on maximum power points (MPPs) of a PV power generator have been systematically studied by using Simulink simulation model of a PV power generator composed of 18 series-connected PV modules. It is shown that the local MPPs can be classified into MPPs at low and high voltages based on the MPP operating point of the PV generator. The results also show that based on the MPP current and voltage it is possible to directly know if the MPP at high voltages is a local or a global MPP. The differentiation between local and global MPPs at high voltages is based on the voltage difference between the actual MPP voltage at high voltages and the theoretical MPP voltage under corresponding uniform conditions. This differentiation method was also tested to work correctly by utilizing experimental measurements of the Tampere University of Technology Solar PV Power Station Research Plant. By using this method, it can be identified if the system is operating at a local or a global MPP. This method can further be utilized to develop global MPP tracking algorithms.

Suggested Citation

  • Mäki, Anssi & Valkealahti, Seppo, 2014. "Differentiation of multiple maximum power points of partially shaded photovoltaic power generators," Renewable Energy, Elsevier, vol. 71(C), pages 89-99.
    • Handle: RePEc:eee:renene:v:71:y:2014:i:c:p:89-99
    DOI: 10.1016/j.renene.2014.05.018
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    References listed on IDEAS

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    1. Silvestre, S. & Boronat, A. & Chouder, A., 2009. "Study of bypass diodes configuration on PV modules," Applied Energy, Elsevier, vol. 86(9), pages 1632-1640, September.
    2. Armstrong, S. & Hurley, W.G., 2010. "A new methodology to optimise solar energy extraction under cloudy conditions," Renewable Energy, Elsevier, vol. 35(4), pages 780-787.
    3. Mattei, M. & Notton, G. & Cristofari, C. & Muselli, M. & Poggi, P., 2006. "Calculation of the polycrystalline PV module temperature using a simple method of energy balance," Renewable Energy, Elsevier, vol. 31(4), pages 553-567.
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    1. Teuvo Suntio & Tuomas Messo & Aapo Aapro & Jyri Kivimäki & Alon Kuperman, 2017. "Review of PV Generator as an Input Source for Power Electronic Converters," Energies, MDPI, vol. 10(8), pages 1-25, July.
    2. M. Yusop, A. & Mohamed, R. & Mohamed, A., 2016. "Inverse dynamic analysis type of MPPT control strategy in a thermoelectric-solar hybrid energy harvesting system," Renewable Energy, Elsevier, vol. 86(C), pages 682-692.
    3. Lappalainen, Kari & Valkealahti, Seppo, 2021. "Experimental study of the maximum power point characteristics of partially shaded photovoltaic strings," Applied Energy, Elsevier, vol. 301(C).
    4. Ramli, Makbul A.M. & Twaha, Ssennoga & Ishaque, Kashif & Al-Turki, Yusuf A., 2017. "A review on maximum power point tracking for photovoltaic systems with and without shading conditions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 144-159.

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