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Comparison of Extremum-Seeking Control Techniques for Maximum Power Point Tracking in Photovoltaic Systems

Author

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  • Her-Terng Yau

    (Department of Electrical Engineering, National Chin-Yi University of Technology, Taichung 41170, Taiwan)

  • Chen-Han Wu

    (Department of Electrical Engineering, National Chin-Yi University of Technology, Taichung 41170, Taiwan)

Abstract

Due to Japan’s recent nuclear crisis and petroleum price hikes, the search for renewable energy sources has become an issue of immediate concern. A promising candidate attracting much global attention is solar energy, as it is green and also inexhaustible. A maximum power point tracking (MPPT) controller is employed in such a way that the output power provided by a photovoltaic (PV) system is boosted to its maximum level. However, in the context of abrupt changes in irradiance, conventional MPPT controller approaches suffer from insufficient robustness against ambient variation, inferior transient response and a loss of output power as a consequence of the long duration required of tracking procedures. Accordingly, in this work the maximum power point tracking is carried out successfully using a sliding mode extremum-seeking control (SMESC) method, and the tracking performances of three controllers are compared by simulations, that is, an extremum-seeking controller, a sinusoidal extremum-seeking controller and a sliding mode extremum-seeking controller. Being able to track the maximum power point promptly in the case of an abrupt change in irradiance, the SMESC approach is proven by simulations to be superior in terms of system dynamic and steady state responses, and an excellent robustness along with system stability is demonstrated as well.

Suggested Citation

  • Her-Terng Yau & Chen-Han Wu, 2011. "Comparison of Extremum-Seeking Control Techniques for Maximum Power Point Tracking in Photovoltaic Systems," Energies, MDPI, vol. 4(12), pages 1-16, December.
    • Handle: RePEc:gam:jeners:v:4:y:2011:i:12:p:2180-2195:d:15120
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    Citations

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    Cited by:

    1. Pierre Hertzog & Arthur James Swart, 2015. "The Use of an Innovative Jig to Stimulate Awareness of Sustainable Technologies among Freshman Engineering Students," Sustainability, MDPI, vol. 7(7), pages 1-18, July.
    2. Jian Zhao & Xuesong Zhou & Youjie Ma & Yiqi Liu, 2017. "Analysis of Dynamic Characteristic for Solar Arrays in Series and Global Maximum Power Point Tracking Based on Optimal Initial Value Incremental Conductance Strategy under Partially Shaded Conditions," Energies, MDPI, vol. 10(1), pages 1-23, January.
    3. Héctor Zazo & Esteban Del Castillo & Jean François Reynaud & Ramon Leyva, 2012. "MPPT for Photovoltaic Modules via Newton-Like Extremum Seeking Control," Energies, MDPI, vol. 5(8), pages 1-15, July.
    4. 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.
    5. Shahrooz Hajighorbani & Mohd Amran Mohd Radzi & Mohd Zainal Abidin Ab Kadir & Suhaidi Shafie, 2015. "Dual Search Maximum Power Point (DSMPP) Algorithm Based on Mathematical Analysis under Shaded Conditions," Energies, MDPI, vol. 8(10), pages 1-31, October.
    6. Kuei-Hsiang Chao, 2015. "A High Performance PSO-Based Global MPP Tracker for a PV Power Generation System," Energies, MDPI, vol. 8(7), pages 1-18, July.
    7. Chun-Liang Liu & Jing-Hsiao Chen & Yi-Hua Liu & Zong-Zhen Yang, 2014. "An Asymmetrical Fuzzy-Logic-Control-Based MPPT Algorithm for Photovoltaic Systems," Energies, MDPI, vol. 7(4), pages 1-17, April.
    8. Adriana Trejos & Daniel Gonzalez & Carlos Andres Ramos-Paja, 2012. "Modeling of Step-up Grid-Connected Photovoltaic Systems for Control Purposes," Energies, MDPI, vol. 5(6), pages 1-27, June.
    9. Shahrooz Hajighorbani & Mohd Amran Mohd Radzi & Mohd Zainal Abidin Ab Kadir & Suhaidi Shafie & Muhammad Ammirrul Atiqi Mohd Zainuri, 2016. "Implementing a Novel Hybrid Maximum Power Point Tracking Technique in DSP via Simulink/MATLAB under Partially Shaded Conditions," Energies, MDPI, vol. 9(2), pages 1-25, January.
    10. Po-Chen Cheng & Bo-Rei Peng & Yi-Hua Liu & Yu-Shan Cheng & Jia-Wei Huang, 2015. "Optimization of a Fuzzy-Logic-Control-Based MPPT Algorithm Using the Particle Swarm Optimization Technique," Energies, MDPI, vol. 8(6), pages 1-23, June.
    11. Tehzeeb-ul Hassan & Rabeh Abbassi & Houssem Jerbi & Kashif Mehmood & Muhammad Faizan Tahir & Khalid Mehmood Cheema & Rajvikram Madurai Elavarasan & Farman Ali & Irfan Ahmad Khan, 2020. "A Novel Algorithm for MPPT of an Isolated PV System Using Push Pull Converter with Fuzzy Logic Controller," Energies, MDPI, vol. 13(15), pages 1-20, August.
    12. Chao, Kuei-Hsiang & Lin, Yu-Sheng & Lai, Uei-Dar, 2015. "Improved particle swarm optimization for maximum power point tracking in photovoltaic module arrays," Applied Energy, Elsevier, vol. 158(C), pages 609-618.

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