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A Variable-Weather-Parameter MPPT Method Based on Equation Solution for Photovoltaic System with DC Bus

Author

Listed:
  • Shaowu Li

    (College of Intelligent Systems Science and Engineering, Hubei Minzu University, Enshi 445000, China)

  • Kunyi Chen

    (College of Intelligent Systems Science and Engineering, Hubei Minzu University, Enshi 445000, China)

  • Qin Li

    (College of Intelligent Systems Science and Engineering, Hubei Minzu University, Enshi 445000, China)

  • Qing Ai

    (College of Intelligent Systems Science and Engineering, Hubei Minzu University, Enshi 445000, China)

Abstract

The control signals of the variable-weather-parameter (VWP) methods need to be calculated by the real-time measured data of the irradiance and temperature (I&T) sensors, which leads to the high hardware cost of the sensors. To solve this problem, the PV system with a DC bus is selected as the research subject and a novel maximum power point tracking (MPPT) method is proposed. It is named the VWP MPPT method based on the equation solution (ES-VWP method). Its control signal is directly calculated by the solution of an established equation set rather than data measured by the I&T sensors. This equation set consists of two integrated mathematical equations, which represent two different operating points of the PV system. Meanwhile, when the bus voltage is varying or unknown, a calculation method that can estimate the real-time value of the DC bus voltage is proposed. In addition, an implementation method corresponding to the ES-VWP method is also designed. Finally, some simulation experiments are carried out to verify the availability and feasibility of the ES-VWP method. Meanwhile, some simulation experiments show that the error of the equation solution is less than 0.0001. In addition, some simulation experiments illustrate that the MPPT settling times of the ES-VWP method are always less than one-tenth of the P&O method (or one-sixth of the FLC method). Compared with the existing VWP methods, it can be implemented without the use of I&T sensors or external I&T data. Meanwhile, compared with other existing MPPT methods, its better MPPT rapidity originating from the advantage of the VWP methods is inherited. This work is the first attempt to design a novel MPPT method by obtaining the real-time equation solutions of V o c and I s c . Meanwhile, this work is also the first attempt to solve the real-time equation of V b u s by the solved V o c and I s c . In addition, this work is also the first attempt to design an implementation method for establishing an equation set by sampling two operating points of a PV system at the same time.

Suggested Citation

  • Shaowu Li & Kunyi Chen & Qin Li & Qing Ai, 2022. "A Variable-Weather-Parameter MPPT Method Based on Equation Solution for Photovoltaic System with DC Bus," Energies, MDPI, vol. 15(18), pages 1-25, September.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:18:p:6671-:d:913189
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    References listed on IDEAS

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    1. Reshma Gopi, R. & Sreejith, S., 2018. "Converter topologies in photovoltaic applications – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 1-14.
    2. Osmani, Khaled & Haddad, Ahmad & Lemenand, Thierry & Castanier, Bruno & Ramadan, Mohamad, 2021. "An investigation on maximum power extraction algorithms from PV systems with corresponding DC-DC converters," Energy, Elsevier, vol. 224(C).
    3. Camilo, Jones C. & Guedes, Tatiana & Fernandes, Darlan A. & Melo, J.D. & Costa, F.F. & Sguarezi Filho, Alfeu J., 2019. "A maximum power point tracking for photovoltaic systems based on Monod equation," Renewable Energy, Elsevier, vol. 130(C), pages 428-438.
    4. Danandeh, M.A. & Mousavi G., S.M., 2018. "Comparative and comprehensive review of maximum power point tracking methods for PV cells," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2743-2767.
    5. Li, Xingshuo & Wen, Huiqing & Hu, Yihua & Jiang, Lin, 2019. "A novel beta parameter based fuzzy-logic controller for photovoltaic MPPT application," Renewable Energy, Elsevier, vol. 130(C), pages 416-427.
    6. Gerber, Daniel L. & Vossos, Vagelis & Feng, Wei & Marnay, Chris & Nordman, Bruce & Brown, Richard, 2018. "A simulation-based efficiency comparison of AC and DC power distribution networks in commercial buildings," Applied Energy, Elsevier, vol. 210(C), pages 1167-1187.
    7. Li, Qiyu & Zhao, Shengdun & Wang, Mengqi & Zou, Zhongyue & Wang, Bin & Chen, Qixu, 2017. "An improved perturbation and observation maximum power point tracking algorithm based on a PV module four-parameter model for higher efficiency," Applied Energy, Elsevier, vol. 195(C), pages 523-537.
    8. Li, Shaowu & Attou, Amine & Yang, Yongchao & Geng, Dongshan, 2015. "A maximum power point tracking control strategy with variable weather parameters for photovoltaic systems with DC bus," Renewable Energy, Elsevier, vol. 74(C), pages 478-488.
    9. Eltawil, Mohamed A. & Zhao, Zhengming, 2013. "MPPT techniques for photovoltaic applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 25(C), pages 793-813.
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    2. Ersan Kabalci & Aydin Boyar, 2022. "Highly Efficient Interleaved Solar Converter Controlled with Extended Kalman Filter MPPT," Energies, MDPI, vol. 15(21), pages 1-24, October.

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