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A Robust Dynamic Control Strategy for Standalone PV System under Variable Load and Environmental Conditions

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  • Waqas Anjum

    (School of Electrical Engineering, Universiti Teknologi Malaysia (UTM), Johor Bahru 81310, Malaysia
    Department of Electronic Engineering, Faculty of Engineering, The Islamia University of Bahawalpur (IUB), Bahawalpur 63100, Pakistan)

  • Abdul Rashid Husain

    (School of Electrical Engineering, Universiti Teknologi Malaysia (UTM), Johor Bahru 81310, Malaysia)

  • Junaidi Abdul Aziz

    (School of Electrical Engineering, Universiti Teknologi Malaysia (UTM), Johor Bahru 81310, Malaysia)

  • Syed Muhammad Fasih ur Rehman

    (School of Electrical Engineering, Universiti Teknologi Malaysia (UTM), Johor Bahru 81310, Malaysia
    Department of Electronic Engineering, Faculty of Engineering, The Islamia University of Bahawalpur (IUB), Bahawalpur 63100, Pakistan)

  • Muhammad Paend Bakht

    (School of Electrical Engineering, Universiti Teknologi Malaysia (UTM), Johor Bahru 81310, Malaysia
    Department of Electrical Engineering, Balochistan University of Information Technology, Engineering and Management Sciences (BUITEMS), Quetta 87100, Pakistan)

  • Hasan Alqaraghuli

    (School of Electrical Engineering, Universiti Teknologi Malaysia (UTM), Johor Bahru 81310, Malaysia)

Abstract

Dual-stage standalone photovoltaic (PV) systems suffer from stability, reliability issues, and their efficiency to deliver maximum power is greatly affected by changing environmental conditions. A hybrid back-stepping control (BSC) is a good candidate for maximum power point tracking (MPPT) however, there are eminent steady-state oscillations in the PV output due to BSC’s recursive nature. The issue can be addressed by proposing a hybrid integral back-stepping control (IBSC) algorithm where the proposed integral action significantly reduces the steady-state oscillations in the PV array output under varying temperature and solar irradiance level. Simultaneously, at the AC stage, the primary challenge is to reduce both the steady-state tracking error and total harmonic distortion (THD) at the output of VSI, resulting from the load parameter variations. Although the conventional sliding mode control (SMC) is robust to parameter variations, however, it is discontinuous in nature and inherit over-conservative gain design. In order to address this issue, a dynamic disturbance rejection strategy based on super twisting control (STC) has been proposed where a higher order sliding mode observer is designed to estimate the effect of load disturbances as a lumped parameter which is then rejected by the newly designed control law to achieve the desired VSI tracking performance. The proposed control strategy has been validated via MATLAB Simulink where the system reaches the steady-state in 0.005 s and gives a DC–DC conversion efficiency of 99.85 % at the peak solar irradiation level. The AC stage steady-state error is minimized to 0 V whereas, THD is limited to 0.07 % and 0.11 % for linear and non-linear loads, respectively.

Suggested Citation

  • Waqas Anjum & Abdul Rashid Husain & Junaidi Abdul Aziz & Syed Muhammad Fasih ur Rehman & Muhammad Paend Bakht & Hasan Alqaraghuli, 2022. "A Robust Dynamic Control Strategy for Standalone PV System under Variable Load and Environmental Conditions," Sustainability, MDPI, vol. 14(8), pages 1-27, April.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:8:p:4601-:d:792169
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    References listed on IDEAS

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    1. Ali M. Eltamaly & M. S. Al-Saud & A. G. Abo-Khalil, 2020. "Performance Improvement of PV Systems’ Maximum Power Point Tracker Based on a Scanning PSO Particle Strategy," Sustainability, MDPI, vol. 12(3), pages 1-20, February.
    2. Juntao Fei & Yunkai Zhu, 2017. "Adaptive fuzzy sliding control of single-phase PV grid-connected inverter," PLOS ONE, Public Library of Science, vol. 12(8), pages 1-15, August.
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    4. Mateusz Andrychowicz, 2021. "RES and ES Integration in Combination with Distribution Grid Development Using MILP," Energies, MDPI, vol. 14(2), pages 1-19, January.
    5. Afroz Alam & Preeti Verma & Mohd Tariq & Adil Sarwar & Basem Alamri & Noore Zahra & Shabana Urooj, 2021. "Jellyfish Search Optimization Algorithm for MPP Tracking of PV System," Sustainability, MDPI, vol. 13(21), pages 1-20, October.
    6. Mostafa Ahmed & Mohamed Abdelrahem & Ralph Kennel, 2020. "Highly Efficient and Robust Grid Connected Photovoltaic System Based Model Predictive Control with Kalman Filtering Capability," Sustainability, MDPI, vol. 12(11), pages 1-22, June.
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    Cited by:

    1. Muhammad Paend Bakht & Zainal Salam & Mehr Gul & Waqas Anjum & Mohamad Anuar Kamaruddin & Nuzhat Khan & Abba Lawan Bukar, 2022. "The Potential Role of Hybrid Renewable Energy System for Grid Intermittency Problem: A Techno-Economic Optimisation and Comparative Analysis," Sustainability, MDPI, vol. 14(21), pages 1-29, October.

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