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An Efficient Variable Step Solar Maximum Power Point Tracking Algorithm

Author

Listed:
  • Yang Meng

    (School of Science (School of Chip Industry), Hubei University of Technology, Wuhan 430068, China
    National “111 Research Center” Microelectronics and Integrated Circuits, Hubei University of Technology, Wuhan 430068, China)

  • Zunliang Chen

    (School of Science (School of Chip Industry), Hubei University of Technology, Wuhan 430068, China
    National “111 Research Center” Microelectronics and Integrated Circuits, Hubei University of Technology, Wuhan 430068, China)

  • Hui Cheng

    (School of Foreign Languages, Hubei University of Technology, Wuhan 430068, China)

  • Enpu Wang

    (School of Science (School of Chip Industry), Hubei University of Technology, Wuhan 430068, China
    National “111 Research Center” Microelectronics and Integrated Circuits, Hubei University of Technology, Wuhan 430068, China)

  • Baohua Tan

    (School of Science (School of Chip Industry), Hubei University of Technology, Wuhan 430068, China
    National “111 Research Center” Microelectronics and Integrated Circuits, Hubei University of Technology, Wuhan 430068, China)

Abstract

The classic Photovoltaic system maximum power point tracking technique cannot concurrently take into account the dynamic response speed and steady-state accuracy when the light intensity changes. To address this issue, a new composite variable step MPPT control algorithm is developed in this study. Based on the three-stage variable step incremental conductance method, the algorithm adds the Kalman filtering algorithm to pre-process the photovoltaic cells output signal, and uses a new calculation approach to adjust the variable step coefficient. As a result, the perturbation step can be automatically modified according to changes in the external environment, which resolves the issues with poor dynamic reaction speed when the classic variable step algorithm started and the light changed. Compared to conventional MPPT control algorithms, the improved MPPT strategy can be easily realized using a hardware control system since it has a simplified control logic and requires less data to be calculated. In this study, the hardware circuit of the enhanced MPPT control algorithm is built using the ESP32 as the primary control chip. This chip can be utilized in conjunction with the Internet of Things to enable remote monitoring of the solar power system’s operational state. According to test results, the algorithm can instantly detect the maximum power point in all lighting circumstances with tracking accuracy of up to 99.6% and a reduction in dynamic response time of the system to 0.12 s.

Suggested Citation

  • Yang Meng & Zunliang Chen & Hui Cheng & Enpu Wang & Baohua Tan, 2023. "An Efficient Variable Step Solar Maximum Power Point Tracking Algorithm," Energies, MDPI, vol. 16(3), pages 1-20, January.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:3:p:1299-:d:1047134
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    References listed on IDEAS

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    1. Jin Zhang, 2021. "Response to Letter to the Editor: Zhang, J. (2021)," The American Statistician, Taylor & Francis Journals, vol. 75(4), pages 458-458, October.
    2. Muhammad Mateen Afzal Awan & Muhammad Yaqoob Javed & Aamer Bilal Asghar & Krzysztof Ejsmont, 2022. "Performance Optimization of a Ten Check MPPT Algorithm for an Off-Grid Solar Photovoltaic System," Energies, MDPI, vol. 15(6), pages 1-31, March.
    3. Tarek A. Boghdady & Yasmin E. Kotb & Abdullah Aljumah & Mahmoud M. Sayed, 2022. "Comparative Study of Optimal PV Array Configurations and MPPT under Partial Shading with Fast Dynamical Change of Hybrid Load," Sustainability, MDPI, vol. 14(5), pages 1-17, March.
    4. Fathi Troudi & Houda Jouini & Abdelkader Mami & Nidhal Ben Khedher & Walid Aich & Attia Boudjemline & Mohamed Boujelbene, 2022. "Comparative Assessment between Five Control Techniques to Optimize the Maximum Power Point Tracking Procedure for PV Systems," Mathematics, MDPI, vol. 10(7), pages 1-15, March.
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