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Certainty-Equivalence-Based Sensorless Robust Sliding Mode Control for Maximum Power Extraction of an Uncertain Photovoltaic System

Author

Listed:
  • Zaheer Alam

    (Electrical Engineering Department, COMSATS University Islamabad, Abbottabad 22060, Pakistan)

  • Qudrat Khan

    (Centre for Advanced Studies in Telecommunications (CAST), Islamabad Campus, COMSATS University Islamabad, Islamabad 45550, Pakistan)

  • Laiq Khan

    (Department of Electrical and Computer Engineering, COMSATS University Islamabad, Islamabad 45550, Pakistan)

  • Safeer Ullah

    (Department of Electrical and Computer Engineering, COMSATS University Islamabad, Islamabad 45550, Pakistan)

  • Syed Abdul Mannan Kirmani

    (Centre for Advanced Studies in Telecommunications (CAST), Islamabad Campus, COMSATS University Islamabad, Islamabad 45550, Pakistan)

  • Abdullah A. Algethami

    (Department of Engineering, Taif University, Taif 11099, Saudi Arabia)

Abstract

Photovoltaic (PV) arrays and their electronic converters are subject to various environmental disturbances and component-related faults that affect their normal operations and result in a considerable energy loss. Therefore, it is ever demanding to design such closed-loop operating algorithms that tolerate faults, present acceptable performance, and avoid wear and tear in the systems. In this work, the core objective is to extract maximum power from a PV array subject to environmental disturbances and plant uncertainties. The system is considered under input channel uncertainties (i.e., faults) along with variable resistive load and charging stations. A neuro-fuzzy network (NFN)-based reference voltage is generated to extract maximum power while considering variable temperature and irradiance as inputs. Furthermore, the estimated reference is tracked by the actual PV voltage under two types of controllers: certainty-equivalence-based robust sliding mode (CERSMC) and certainty-equivalence-based robust integral sliding mode (CERISMC). These strategies benefit from improving the robustness against faults (disturbances). The proposed methods use the inductor current, which is recovered via the velocity observer and the flatness property of nonlinear systems. The system’s stability is proven in the form of very appealing theorems. These claims are validated by the simulation results, which are carried out in a MATLAB environment.

Suggested Citation

  • Zaheer Alam & Qudrat Khan & Laiq Khan & Safeer Ullah & Syed Abdul Mannan Kirmani & Abdullah A. Algethami, 2022. "Certainty-Equivalence-Based Sensorless Robust Sliding Mode Control for Maximum Power Extraction of an Uncertain Photovoltaic System," Energies, MDPI, vol. 15(6), pages 1-17, March.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:6:p:2029-:d:768552
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    References listed on IDEAS

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    1. Reza Reisi, Ali & Hassan Moradi, Mohammad & Jamasb, Shahriar, 2013. "Classification and comparison of maximum power point tracking techniques for photovoltaic system: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 19(C), pages 433-443.
    2. Kamran Ali & Laiq Khan & Qudrat Khan & Shafaat Ullah & Saghir Ahmad & Sidra Mumtaz & Fazal Wahab Karam & Naghmash, 2019. "Robust Integral Backstepping Based Nonlinear MPPT Control for a PV System," Energies, MDPI, vol. 12(16), pages 1-20, August.
    3. Punitha, K. & Devaraj, D. & Sakthivel, S., 2013. "Artificial neural network based modified incremental conductance algorithm for maximum power point tracking in photovoltaic system under partial shading conditions," Energy, Elsevier, vol. 62(C), pages 330-340.
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