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New MPPT method for stand-alone photovoltaic systems operating under partially shaded conditions

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  • Bouilouta, A.
  • Mellit, A.
  • Kalogirou, S.A.

Abstract

A new method to track the global maximum power point (GMPP) under partially shaded conditions (PSCs), for stand-alone photovoltaic (PV) systems, is introduced. Two loads, static and dynamic, have been used to evaluate the effectiveness of the method under different PSCs. Simulation results show that the developed method guarantees convergence to the GMPP under different PSCs and provides fast convergence in rapid variation of insolation conditions. To assess the performance of the developed algorithm, a comparison between two algorithms recently published has been carried out. It is shown that the developed method outperforms other methods found in literature both in terms of efficiency (95.80% and 95% for static and dynamic load) and response time (less than 0.25 s). Negligible oscillations around the MPP and easy implementation are the main advantages of the proposed method.

Suggested Citation

  • Bouilouta, A. & Mellit, A. & Kalogirou, S.A., 2013. "New MPPT method for stand-alone photovoltaic systems operating under partially shaded conditions," Energy, Elsevier, vol. 55(C), pages 1172-1185.
    • Handle: RePEc:eee:energy:v:55:y:2013:i:c:p:1172-1185
    DOI: 10.1016/j.energy.2013.03.038
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    References listed on IDEAS

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    Cited by:

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    14. Shen, Chih-Lung & Ko, Yong-Xian, 2014. "Hybrid-input power supply with PFC (power factor corrector) and MPPT (maximum power point tracking) features for battery charging and HB-LED driving," Energy, Elsevier, vol. 72(C), pages 501-509.
    15. Belhachat, Faiza & Larbes, Cherif, 2017. "Global maximum power point tracking based on ANFIS approach for PV array configurations under partial shading conditions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 875-889.
    16. Daraban, Stefan & Petreus, Dorin & Morel, Cristina, 2014. "A novel MPPT (maximum power point tracking) algorithm based on a modified genetic algorithm specialized on tracking the global maximum power point in photovoltaic systems affected by partial shading," Energy, Elsevier, vol. 74(C), pages 374-388.
    17. Boukenoui, R. & Ghanes, M. & Barbot, J.-P. & Bradai, R. & Mellit, A. & Salhi, H., 2017. "Experimental assessment of Maximum Power Point Tracking methods for photovoltaic systems," Energy, Elsevier, vol. 132(C), pages 324-340.
    18. Ramli, Makbul A.M. & Prasetyono, Eka & Wicaksana, Ragil W. & Windarko, Novie A. & Sedraoui, Khaled & Al-Turki, Yusuf A., 2016. "On the investigation of photovoltaic output power reduction due to dust accumulation and weather conditions," Renewable Energy, Elsevier, vol. 99(C), pages 836-844.
    19. Ram, J. Prasanth & Babu, T. Sudhakar & Rajasekar, N., 2017. "A comprehensive review on solar PV maximum power point tracking techniques," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 826-847.
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