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A Novel Fast MPPT Strategy for High Efficiency PV Battery Chargers

Author

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  • Jose Miguel Espi

    (Department of Electrical Engineering, University of Valencia, Avd. Universitat S/N, 46100 Burjassot-Valencia, Spain)

  • Jaime Castello

    (Department of Electrical Engineering, University of Valencia, Avd. Universitat S/N, 46100 Burjassot-Valencia, Spain)

Abstract

The paper presents a new maximum power point tracking (MPPT) method for photovoltaic (PV) battery chargers. It consists of adding a low frequency modulation to the duty-cycle and then multiplying the ac components of the panel voltage and power. The obtained parameter, proportional to the conductance error, is used as a gain for the integral action in the charging current control. The resulting maximum power point (MPP) is very still, since the integral gain tends to zero at the MPP, yielding PV efficiencies above 99%. Nevertheless, when the operating point is not the MPP, the integral gain is large enough to provide a fast convergence to the MPP. Furthermore, a fast power regulation on the right side of the MPP is achieved in case the demanded power is lower than the available maximum PV power. In addition, the MPPT is compatible with the control of a parallel arrangement of converters by means of a droop law. The MPPT algorithm gives an averaged duty-cycle, and the droop compensation allows duty-cycles to be distributed to all active converters to control their currents individually. Moreover, the droop strategy allows activation and deactivation of converters without affecting the MPP and battery charging operation. The proposed control has been assayed in a battery charger formed by three step-down converters in parallel using synchronous rectification, and is solved in a microcontroller at a sampling frequency of 4 kHz. Experimental results show that, in the worst case, the MPPT converges in 50 ms against irradiance changes and in 100 ms in case of power reference changes.

Suggested Citation

  • Jose Miguel Espi & Jaime Castello, 2019. "A Novel Fast MPPT Strategy for High Efficiency PV Battery Chargers," Energies, MDPI, vol. 12(6), pages 1-16, March.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:6:p:1152-:d:216925
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    References listed on IDEAS

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    1. Chendi Li & Yuanrui Chen & Dongbao Zhou & Junfeng Liu & Jun Zeng, 2016. "A High-Performance Adaptive Incremental Conductance MPPT Algorithm for Photovoltaic Systems," Energies, MDPI, vol. 9(4), pages 1-17, April.
    2. John Macaulay & Zhongfu Zhou, 2018. "A Fuzzy Logical-Based Variable Step Size P&O MPPT Algorithm for Photovoltaic System," Energies, MDPI, vol. 11(6), pages 1-15, May.
    3. Triet Nguyen-Van & Rikiya Abe & Kenji Tanaka, 2018. "MPPT and SPPT Control for PV-Connected Inverters Using Digital Adaptive Hysteresis Current Control," Energies, MDPI, vol. 11(8), pages 1-16, August.
    4. Triet Nguyen-Van & Rikiya Abe & Kenji Tanaka, 2018. "Digital Adaptive Hysteresis Current Control for Multi-Functional Inverters," Energies, MDPI, vol. 11(9), pages 1-13, September.
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    Cited by:

    1. Lan Li & Hao Wang & Xiangping Chen & Abid Ali Shah Bukhari & Wenping Cao & Lun Chai & Bing Li, 2019. "High Efficiency Solar Power Generation with Improved Discontinuous Pulse Width Modulation (DPWM) Overmodulation Algorithms," Energies, MDPI, vol. 12(9), pages 1-18, May.
    2. Khosravi, N. & Abdolmohammadi, H.R. & Bagheri, S. & Miveh, M.R., 2021. "Improvement of harmonic conditions in the AC/DC microgrids with the presence of filter compensation modules," Renewable and Sustainable Energy Reviews, Elsevier, vol. 143(C).
    3. Jose Miguel Espi & Jaime Castello, 2019. "New Fast MPPT Method Based on a Power Slope Detector for Single Phase PV Inverters," Energies, MDPI, vol. 12(22), pages 1-20, November.
    4. Raúl González-Medina & Marian Liberos & Silvia Marzal & Emilio Figueres & Gabriel Garcerá, 2019. "A Control Scheme without Sensors at the PV Source for Cost and Size Reduction in Two-Stage Grid Connected Inverters," Energies, MDPI, vol. 12(15), pages 1-21, August.
    5. Akinyemi Ayodeji Stephen & Kabeya Musasa & Innocent Ewean Davidson, 2022. "Modelling of Solar PV under Varying Condition with an Improved Incremental Conductance and Integral Regulator," Energies, MDPI, vol. 15(7), pages 1-22, March.
    6. M. Bani Salim & H. S. Hayajneh & A. Mohammed & S. Ozcelik, 2019. "Robust Direct Adaptive Controller Design for Photovoltaic Maximum Power Point Tracking Application," Energies, MDPI, vol. 12(16), pages 1-19, August.

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