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Improved design and analysis of MPPT technique for photovoltaic power systems to increase accuracy and speed under different conditions

Author

Listed:
  • Tao Hai

    (Qiannan Normal University for Nationalities
    Guizhou University)

  • Alireza Rezvani

    (Duy Tan University
    Duy Tan University)

  • Binh Nguyen Le

    (Duy Tan University
    Duy Tan University)

Abstract

Due to the many attractions of solar energy, a lot of research is being done in research centers to improve the usefulness of photovoltaic systems (PVs). Despite the widespread use of PVs in different societies, one of the biggest challenges of these sources is to obtain the maximum possible output power. Up to now, several investigations are performed to achieve the maximum power point (MPP) in PV systems. In this paper, an incremental conductance (INC) in the combination of farmland fertility optimization (IFFO) based on the adaptive neuro-fuzzy inference system (ANFIS) is applied to implement the MPPT controller. The proposed MPPT method applies hybrid IFFO in different temperatures and radiation situations to attain optimal voltages. Then, the ANFIS and the INC algorithm try to find the MPP as the ANFIS cannot find the precise point alone. The main advantage of the ANFIS and INC is providing less number of samples for training. Simulations are performed to confirm the advantage of the technique over the conventional approach. Achieving the global optimum point, lower oscillations around MPP and fast tracking are approved using the simulations with the suggested IFFO-ANFIS-INC method.

Suggested Citation

  • Tao Hai & Alireza Rezvani & Binh Nguyen Le, 2024. "Improved design and analysis of MPPT technique for photovoltaic power systems to increase accuracy and speed under different conditions," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(4), pages 9759-9781, April.
  • Handle: RePEc:spr:endesu:v:26:y:2024:i:4:d:10.1007_s10668-023-03116-0
    DOI: 10.1007/s10668-023-03116-0
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    References listed on IDEAS

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    1. Sonali Goel & Renu Sharma, 2021. "Analysis of measured and simulated performance of a grid-connected PV system in eastern India," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(1), pages 451-476, January.
    2. Lu, Xiaohui & Li, Bing & Guo, Lin & Wang, Peifang & Yousefi, Nasser, 2021. "Exergy analysis of a polymer fuel cell and identification of its optimum operating conditions using improved Farmland Fertility Optimization," Energy, Elsevier, vol. 216(C).
    3. Zhang, Jian & Cho, Heejin & Luck, Rogelio & Mago, Pedro J., 2018. "Integrated photovoltaic and battery energy storage (PV-BES) systems: An analysis of existing financial incentive policies in the US," Applied Energy, Elsevier, vol. 212(C), pages 895-908.
    4. Niranjan Rao Deevela & Bhim Singh & Tara C. Kandpal, 2021. "Techno-economics of solar PV array-based hybrid systems for powering telecom towers," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(11), pages 17003-17029, November.
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