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An Efficient MPPT Technique-Based Single-Stage Incremental Conductance for Integrated PV Systems Considering Flyback Central-Type PV Inverter

Author

Listed:
  • Ahmed Ismail M. Ali

    (Electrical Engineering Department, South Valley University, Qena 83523, Egypt)

  • Zuhair Muhammed Alaas

    (Electrical Engineering Department, Jazan University, Jazan 45142, Saudi Arabia)

  • Mahmoud A. Sayed

    (Electrical Engineering Department, South Valley University, Qena 83523, Egypt)

  • Abdulaziz Almalaq

    (Department of Electrical Engineering, Engineering College, University of Ha’il, Ha’il 55476, Saudi Arabia)

  • Anouar Farah

    (Department of Electrical Engineering, Engineering College, University of Ha’il, Ha’il 55476, Saudi Arabia)

  • Mohamed A. Mohamed

    (Electrical Engineering Department, Faculty of Engineering, Minia University, Minia 61519, Egypt)

Abstract

Central-type photovoltaic (PV) inverters are used in most large-scale standalone and grid-tied PV applications due to the inverter’s high efficiency and low-cost per kW generated. The perturbation and observation (P&O) and incremental conductance (IncCond) have become the most common techniques for maximum power point tracking (MPPT) strategies of PV/wind generation systems. Typically, the MPPT technique is applied in a two-stage operation; the first stage tracks the MPP and boosts the PV voltage to a certain level that complies with grid voltage, whereas the second stage represents the inversion stage that ties the PV system to the grid. Therefore, these common configurations increase the system size and cost as well as reduce its overall footprint. As a result, this paper applies two IncCond MPPT techniques on a proposed single-stage three-phase differential-flyback inverter (DFI). In addition, the three-phase DFI is analyzed for grid current negative-sequence harmonic compensation (NSHC). The proposed system efficiently provides a MPPT of the PV system and voltage boosting property of the DC-AC inverter in a single-stage operation. Moreover, the MPPT technique has been applied through the DFI using the conventional and modified IncCond tracking strategies. Furthermore, the system is validated for the grid-tied operation with the negative-sequence harmonic compensation strategy using computer-based simulation and is tested under uniform, step-change, as well as fast-changing irradiance profiles. The average efficiencies of the proposed system, considering the conventional and modified IncCond MPPT techniques, are 94.16% and 96.4% with tracking responses of 0.062 and 0.035 s and maximum overshoot of 46.15% and 15.38%, respectively.

Suggested Citation

  • Ahmed Ismail M. Ali & Zuhair Muhammed Alaas & Mahmoud A. Sayed & Abdulaziz Almalaq & Anouar Farah & Mohamed A. Mohamed, 2022. "An Efficient MPPT Technique-Based Single-Stage Incremental Conductance for Integrated PV Systems Considering Flyback Central-Type PV Inverter," Sustainability, MDPI, vol. 14(19), pages 1-15, September.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:19:p:12105-:d:924431
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    1. Zhou, Siyu & Han, Yang & Yang, Ping & Mahmoud, Karar & Lehtonen, Matti & Darwish, Mohamed M.F. & Zalhaf, Amr S., 2022. "An optimal network constraint-based joint expansion planning model for modern distribution networks with multi-types intermittent RERs," Renewable Energy, Elsevier, vol. 194(C), pages 137-151.
    2. Tafticht, T. & Agbossou, K. & Doumbia, M.L. & Chériti, A., 2008. "An improved maximum power point tracking method for photovoltaic systems," Renewable Energy, Elsevier, vol. 33(7), pages 1508-1516.
    3. Manel Hammami & Gabriele Grandi, 2017. "A Single-Phase Multilevel PV Generation System with an Improved Ripple Correlation Control MPPT Algorithm," Energies, MDPI, vol. 10(12), pages 1-19, December.
    4. Ahmed, Jubaer & Salam, Zainal, 2015. "An improved perturb and observe (P&O) maximum power point tracking (MPPT) algorithm for higher efficiency," Applied Energy, Elsevier, vol. 150(C), pages 97-108.
    5. Lin, Chia-Hung & Huang, Cong-Hui & Du, Yi-Chun & Chen, Jian-Liung, 2011. "Maximum photovoltaic power tracking for the PV array using the fractional-order incremental conductance method," Applied Energy, Elsevier, vol. 88(12), pages 4840-4847.
    6. Ishaque, Kashif & Salam, Zainal & Lauss, George, 2014. "The performance of perturb and observe and incremental conductance maximum power point tracking method under dynamic weather conditions," Applied Energy, Elsevier, vol. 119(C), pages 228-236.
    7. Salam, Zainal & Ahmed, Jubaer & Merugu, Benny S., 2013. "The application of soft computing methods for MPPT of PV system: A technological and status review," Applied Energy, Elsevier, vol. 107(C), pages 135-148.
    8. Farhat, Maissa & Barambones, Oscar & Sbita, Lassaad, 2017. "A new maximum power point method based on a sliding mode approach for solar energy harvesting," Applied Energy, Elsevier, vol. 185(P2), pages 1185-1198.
    9. Wan Chen & Baolian Liu & Muhammad Shahzad Nazir & Ahmed N. Abdalla & Mohamed A. Mohamed & Zujun Ding & Muhammad Shoaib Bhutta & Mehr Gul, 2022. "An Energy Storage Assessment: Using Frequency Modulation Approach to Capture Optimal Coordination," Sustainability, MDPI, vol. 14(14), pages 1-15, July.
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    Cited by:

    1. Xianyang Cui & Yulong Liu & Ding Yuan & Tao Jin & Mohamed A. Mohamed, 2023. "A Hierarchical Coordinated Control Strategy for Power Quality Improvement in Energy Router Integrated Active Distribution Networks," Sustainability, MDPI, vol. 15(3), pages 1-20, February.
    2. Xianyang Cui & Yulong Liu & Ding Yuan & Tao Jin & Mohamed A. Mohamed, 2023. "A New Five-Port Energy Router Structure and Common Bus Voltage Stabilization Control Strategy," Sustainability, MDPI, vol. 15(4), pages 1-20, February.
    3. Matías Garbarino & Jaime Rohten & Rodrigo Morales & José Espinoza & Javier Muñoz & José Silva & David Dewar, 2023. "Extended Operating Region Algorithm for PV Array Connected to Microgrids for Wide Frequency and Amplitude Variations," Energies, MDPI, vol. 16(7), pages 1-22, March.

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