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A Novel PV Maximum Power Point Tracking Based on Solar Irradiance and Circuit Parameters Estimation

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Listed:
  • Ahmad M. A. Malkawi

    (Mechatronics Engineering Department, School of Engineering, The University of Jordan, Amman 11942, Jordan)

  • Abdallah Odat

    (Electrical Engineering Department, Faculty of Engineering, Jordan University of Science and Technology, Irbid 22110, Jordan)

  • Ahmad Bashaireh

    (Electrical Engineering Department, Faculty of Engineering, Jordan University of Science and Technology, Irbid 22110, Jordan)

Abstract

This research paper presents a novel maximum power point taking (MPPT) algorithm. The algorithm uses an adaptive calculation block to estimate the solar irradiance and the PV I–V curve circuit parameters based on the PV panel’s measured output current and voltage. In the proposed algorithm, the output power does not oscillate around the maximum power point (MPP) compared to conventional MPPT methods. Moreover, the proposed algorithm does not require expensive solar irradiance sensors compared with trackers that depend on measured solar irradiance. In addition, the proposed MPPT can handle the fast variation in solar irradiance. The PV panel nonlinear I–V curve was modeled using a single-diode PV. The algorithm with the adaptive block was tested separately to verify the ability of the system to estimate the solar irradiance and the circuit parameters. The solar system was then simulated using MATLAB/Simulink to evaluate the robustness of the proposed method under steady-state and during sudden changes in solar irradiance and load. The proposed solar system reaches the steady-state in 8 ms after a step-change in the solar irradiance. In the worst-case scenario, the proposed system achieves a relative error of around 2.64% in estimating the solar irradiance at 600 W/m 2 with an efficiency of 99.3%.

Suggested Citation

  • Ahmad M. A. Malkawi & Abdallah Odat & Ahmad Bashaireh, 2022. "A Novel PV Maximum Power Point Tracking Based on Solar Irradiance and Circuit Parameters Estimation," Sustainability, MDPI, vol. 14(13), pages 1-14, June.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:13:p:7699-:d:846561
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    References listed on IDEAS

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    4. Rizzo, Santi Agatino & Scelba, Giacomo, 2015. "ANN based MPPT method for rapidly variable shading conditions," Applied Energy, Elsevier, vol. 145(C), pages 124-132.
    5. Bendib, Boualem & Belmili, Hocine & Krim, Fateh, 2015. "A survey of the most used MPPT methods: Conventional and advanced algorithms applied for photovoltaic systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 637-648.
    Full references (including those not matched with items on IDEAS)

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