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Improved Proportional-Integral Coordinated MPPT Controller with Fast Tracking Speed for Grid-Tied PV Systems under Partially Shaded Conditions

Author

Listed:
  • Haidar Islam

    (Power Electronics and Renewable Energy Research Laboratory (PEARL), Department of Electrical, Faculty of Engineering, University of Malaya, Kuala Lumpur 50603, Malaysia)

  • Saad Mekhilef

    (Power Electronics and Renewable Energy Research Laboratory (PEARL), Department of Electrical, Faculty of Engineering, University of Malaya, Kuala Lumpur 50603, Malaysia)

  • Noraisyah Mohamed Shah

    (Department of Electrical, Faculty of Engineering, University of Malaya, Kuala Lumpur 50603, Malaysia)

  • Tey Kok Soon

    (Department of Computer System & Technology, Faculty of Computer Science & Information Technology, University of Malaya, Kuala Lumpur 50603, Malaysia)

  • Addy Wahyudie

    (Department of Electrical Engineering, United Arab Emirates University, P.O. Box 15551, Al Ain, UAE)

  • Mahrous Ahmed

    (Department of Electrical Engineering, College of Engineering, Taif University, Taif 219744, Saudi Arabia)

Abstract

When a photovoltaic (PV) system is exposed to physical objects and cloud coverage and connected to bypass diodes, a partial shading condition (PSC) occurs, which causes a global maximum power point (GMPP) and numerous local maximum power points (LMPPs) on the power-voltage (P-V) curve. Unlike conventional MPPT techniques that search for multiple LMPPs on the P-V curve, it is possible to track GMPP straightaway by designing a simple but robust MPPT technique that results in faster tracking speed and low power oscillations. Hence, in this study, an improved proportional-integral (PI) coordinated Maximum Power Point Tracking (MPPT) algorithm is designed to enhance the conversion efficiency of a PV system under PSC with fast-tracking speed and reduced power oscillations. Here, PI controllers are used to mitigating the steady-state errors of output voltage and current of PV system that later on passed through an incremental conductance (INC) algorithm to regulate the duty cycle of a dc–dc boost converter in order to ensure fast MPPT process. The PV system is integrated with the grid through an H-bridge inverter, which is controlled by a synchronous reference frame (SRF) controller. Tracking speed and steady-state oscillations of the proposed MPPT are evaluated in the MATLAB/Simulink environment and validated via a laboratory experimental setup using Agilent solar simulator and dSPACE (DS1104) controller. Results show that the proposed MPPT technique reduces the power fluctuations of PV array significantly and the tracking speed of the proposed method is 13% and 11% faster than the conventional INC and perturb and observe (P&O) methods respectively under PSCs.

Suggested Citation

  • Haidar Islam & Saad Mekhilef & Noraisyah Mohamed Shah & Tey Kok Soon & Addy Wahyudie & Mahrous Ahmed, 2021. "Improved Proportional-Integral Coordinated MPPT Controller with Fast Tracking Speed for Grid-Tied PV Systems under Partially Shaded Conditions," Sustainability, MDPI, vol. 13(2), pages 1-27, January.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:2:p:830-:d:481232
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    References listed on IDEAS

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    1. Tehreem Fatima & Umer Shahzad & Lianbiao Cui, 2021. "Renewable and nonrenewable energy consumption, trade and CO2 emissions in high emitter countries: does the income level matter?," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 64(7), pages 1227-1251, June.
    2. Haidar Islam & Saad Mekhilef & Noraisyah Binti Mohamed Shah & Tey Kok Soon & Mehdi Seyedmahmousian & Ben Horan & Alex Stojcevski, 2018. "Performance Evaluation of Maximum Power Point Tracking Approaches and Photovoltaic Systems," Energies, MDPI, vol. 11(2), pages 1-24, February.
    3. Zakaria, A. & Ismail, Firas B. & Lipu, M.S. Hossain & Hannan, M.A., 2020. "Uncertainty models for stochastic optimization in renewable energy applications," Renewable Energy, Elsevier, vol. 145(C), pages 1543-1571.
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    Cited by:

    1. Muhammed Y. Worku & Mohamed A. Hassan & Luqman S. Maraaba & Md Shafiullah & Mohamed R. Elkadeem & Md Ismail Hossain & Mohamed A. Abido, 2023. "A Comprehensive Review of Recent Maximum Power Point Tracking Techniques for Photovoltaic Systems under Partial Shading," Sustainability, MDPI, vol. 15(14), pages 1-28, July.
    2. Umme Kulsum Jhuma & Shameem Ahmad & Tofael Ahmed, 2022. "A Novel Approach for Secure Hybrid Islanding Detection Considering the Dynamic Behavior of Power and Load in Electrical Distribution Networks," Sustainability, MDPI, vol. 14(19), pages 1-27, October.
    3. Erol Kurt & Davut Özhan & Nicu Bizon & Jose Manuel Lopez-Guede, 2021. "Design and Implementation of a Maximum Power Point Tracking System for a Piezoelectric Wind Energy Harvester Generating High Harmonicity," Sustainability, MDPI, vol. 13(14), pages 1-20, July.

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