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Photovoltaic Systems Based on Average Current Mode Control: Dynamical Analysis and Chaos Suppression by Using a Non-Adaptive Feedback Outer Loop Controller

Author

Listed:
  • Edwidge Raissa Mache Kengne

    (Laboratory of Condensed Matter, Electronics and Signal Processing (LAMACETS), Department of Physics, Faculty of Sciences, University of Dschang, Dschang P.O. Box 67, Cameroon)

  • Alain Soup Tewa Kammogne

    (Laboratory of Condensed Matter, Electronics and Signal Processing (LAMACETS), Department of Physics, Faculty of Sciences, University of Dschang, Dschang P.O. Box 67, Cameroon)

  • Thomas Tatietse Tamo

    (Laboratory of Condensed Matter, Electronics and Signal Processing (LAMACETS), Department of Physics, Faculty of Sciences, University of Dschang, Dschang P.O. Box 67, Cameroon)

  • Ahmad Taher Azar

    (College of Computer and Information Sciences, Prince Sultan University, Riyadh 11586, Saudi Arabia
    Faculty of Computers and Artificial Intelligence, Benha University, Benha 13518, Egypt)

  • Ahmed Redha Mahlous

    (College of Computer and Information Sciences, Prince Sultan University, Riyadh 11586, Saudi Arabia)

  • Saim Ahmed

    (College of Computer and Information Sciences, Prince Sultan University, Riyadh 11586, Saudi Arabia)

Abstract

This paper deals with the modeling and theoretical study of an average-current-mode-controlled photovoltaic power conversion chain. It should be noted that current mode control is a superior scheme for controlling DC–DC power electronic converters for photovoltaic applications. Bifurcation diagrams, largest Lyapunov exponents, Floquet theory, and time series are used to study the dynamics of the system. The theoretical results show the existence of subharmonic oscillations and period-1 oscillations in the system. The results of the numerical simulations showed that when the battery voltage at the output of the converter is fixed and ramp amplitude is taken as a control parameter, the photovoltaic power system exhibits the phenomenon of period doubling leading to chaotic dynamics. Furthermore, bifurcation diagrams showed that both the critical value of ramp amplitude for the occurrence of border collision bifurcation and the critical value of ramp amplitude for the occurrence of period-1 in the proposed system increased with the value of the battery terminal voltage. The numerical results are in accordance with the theoretical ones. Finally, an external control based on a non-adaptive controller having a sinusoidal function as a target is applied to the overall system for the suppression of chaotic behavior.

Suggested Citation

  • Edwidge Raissa Mache Kengne & Alain Soup Tewa Kammogne & Thomas Tatietse Tamo & Ahmad Taher Azar & Ahmed Redha Mahlous & Saim Ahmed, 2023. "Photovoltaic Systems Based on Average Current Mode Control: Dynamical Analysis and Chaos Suppression by Using a Non-Adaptive Feedback Outer Loop Controller," Sustainability, MDPI, vol. 15(10), pages 1-24, May.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:10:p:8238-:d:1150347
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    References listed on IDEAS

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    1. Chen, Xu & Xu, Bin & Mei, Congli & Ding, Yuhan & Li, Kangji, 2018. "Teaching–learning–based artificial bee colony for solar photovoltaic parameter estimation," Applied Energy, Elsevier, vol. 212(C), pages 1578-1588.
    2. Bao, Bocheng & Zhang, Xi & Bao, Han & Wu, Pingye & Wu, Zhimin & Chen, Mo, 2019. "Dynamical effects of memristive load on peak current mode buck-boost switching converter," Chaos, Solitons & Fractals, Elsevier, vol. 122(C), pages 69-79.
    3. Oliva, Diego & Abd El Aziz, Mohamed & Ella Hassanien, Aboul, 2017. "Parameter estimation of photovoltaic cells using an improved chaotic whale optimization algorithm," Applied Energy, Elsevier, vol. 200(C), pages 141-154.
    4. Yu, Kunjie & Qu, Boyang & Yue, Caitong & Ge, Shilei & Chen, Xu & Liang, Jing, 2019. "A performance-guided JAYA algorithm for parameters identification of photovoltaic cell and module," Applied Energy, Elsevier, vol. 237(C), pages 241-257.
    5. Yu, Kunjie & Liang, J.J. & Qu, B.Y. & Cheng, Zhiping & Wang, Heshan, 2018. "Multiple learning backtracking search algorithm for estimating parameters of photovoltaic models," Applied Energy, Elsevier, vol. 226(C), pages 408-422.
    6. Edwige Raissa Mache Kengne & Alain Soup Tewa Kammogne & Martin Siewe Siewe & Thomas Tatietse Tamo & Ahmad Taher Azar & Ahmed Redha Mahlous & Mohamed Tounsi & Zafar Iqbal Khan, 2023. "Bifurcation Analysis of a Photovoltaic Power Source Interfacing a Current-Mode-Controlled Boost Converter with Limited Current Sensor Bandwidth for Maximum Power Point Tracking," Sustainability, MDPI, vol. 15(7), pages 1-19, March.
    7. Manoharan Premkumar & Umashankar Subramaniam & Thanikanti Sudhakar Babu & Rajvikram Madurai Elavarasan & Lucian Mihet-Popa, 2020. "Evaluation of Mathematical Model to Characterize the Performance of Conventional and Hybrid PV Array Topologies under Static and Dynamic Shading Patterns," Energies, MDPI, vol. 13(12), pages 1-37, June.
    8. Abdelali El Aroudi & Mohamed Al-Numay & Germain Garcia & Khalifa Al Hossani & Naji Al Sayari & Angel Cid-Pastor, 2018. "Analysis of Nonlinear Dynamics of a Quadratic Boost Converter Used for Maximum Power Point Tracking in a Grid-Interlinked PV System," Energies, MDPI, vol. 12(1), pages 1-23, December.
    9. Barone, Giovanni & Buonomano, Annamaria & Chang, Roma & Forzano, Cesare & Giuzio, Giovanni Francesco & Mondol, Jayanta & Palombo, Adolfo & Pugsley, Adrian & Smyth, Mervyn & Zacharopoulos, Aggelos, 2022. "Modelling and simulation of building integrated Concentrating Photovoltaic/Thermal Glazing (CoPVTG) systems: Comprehensive energy and economic analysis," Renewable Energy, Elsevier, vol. 193(C), pages 1121-1131.
    10. Zhou, Junfeng & Zhang, Yanhui & Zhang, Yubo & Shang, Wen-Long & Yang, Zhile & Feng, Wei, 2022. "Parameters identification of photovoltaic models using a differential evolution algorithm based on elite and obsolete dynamic learning," Applied Energy, Elsevier, vol. 314(C).
    11. Kammogne Soup Tewa Alain & Kengne Romanic & Fotsin Hilaire Bertrand, 2017. "Dynamics and Improved Robust Adaptive Control Strategy for the Finite Time Synchronization of Uncertain Nonlinear Systems," International Journal of System Dynamics Applications (IJSDA), IGI Global, vol. 6(4), pages 34-62, October.
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