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Input output feedback linearization control and variable step size MPPT algorithm of a grid-connected photovoltaic inverter

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  • Lalili, D.
  • Mellit, A.
  • Lourci, N.
  • Medjahed, B.
  • Berkouk, E.M.

Abstract

In this paper, the power factor of a grid-connected photovoltaic inverter is controlled using the input output Feedback Linearization Control (FLC) technique. This technique transforms the nonlinear state model of the inverter in the d–q reference frame into two equivalent linear subsystems, and then applies a pole placement linear control loops on this subsystem in order to separately control the grid power factor and the dc link voltage of the inverter. Maximum Power Point Tracker (MPPT) that allows extraction of maximum available power from the photovoltaic (PV) array has been included. This MPPT is based on variable step size incremental conductance method. Compared with conventional fixed step size method, the variable step MPPT improves the speed and the accuracy of the tracking.

Suggested Citation

  • Lalili, D. & Mellit, A. & Lourci, N. & Medjahed, B. & Berkouk, E.M., 2011. "Input output feedback linearization control and variable step size MPPT algorithm of a grid-connected photovoltaic inverter," Renewable Energy, Elsevier, vol. 36(12), pages 3282-3291.
    • Handle: RePEc:eee:renene:v:36:y:2011:i:12:p:3282-3291
    DOI: 10.1016/j.renene.2011.04.027
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    References listed on IDEAS

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    1. Rahim, N.A. & Selvaraj, J. & Krismadinata, C., 2010. "Five-level inverter with dual reference modulation technique for grid-connected PV system," Renewable Energy, Elsevier, vol. 35(3), pages 712-720.
    2. Houssamo, Issam & Locment, Fabrice & Sechilariu, Manuela, 2010. "Maximum power tracking for photovoltaic power system: Development and experimental comparison of two algorithms," Renewable Energy, Elsevier, vol. 35(10), pages 2381-2387.
    3. Hamrouni, N. & Jraidi, M. & Chérif, A., 2008. "New control strategy for 2-stage grid-connected photovoltaic power system," Renewable Energy, Elsevier, vol. 33(10), pages 2212-2221.
    4. Altas, I.H. & Sharaf, A.M., 2008. "A novel maximum power fuzzy logic controller for photovoltaic solar energy systems," Renewable Energy, Elsevier, vol. 33(3), pages 388-399.
    5. Syafaruddin, & Karatepe, Engin & Hiyama, Takashi, 2009. "Polar coordinated fuzzy controller based real-time maximum-power point control of photovoltaic system," Renewable Energy, Elsevier, vol. 34(12), pages 2597-2606.
    6. Mellit, A. & Rezzouk, H. & Messai, A. & Medjahed, B., 2011. "FPGA-based real time implementation of MPPT-controller for photovoltaic systems," Renewable Energy, Elsevier, vol. 36(5), pages 1652-1661.
    7. Hassaine, L. & Olias, E. & Quintero, J. & Haddadi, M., 2009. "Digital power factor control and reactive power regulation for grid-connected photovoltaic inverter," Renewable Energy, Elsevier, vol. 34(1), pages 315-321.
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    1. Sampaio, Leonardo P. & de Brito, Moacyr A.G. & de A. e Melo, Guilherme & Canesin, Carlos A., 2016. "Grid-tie three-phase inverter with active power injection and reactive power compensation," Renewable Energy, Elsevier, vol. 85(C), pages 854-864.
    2. Tahsin Fahima Orchi & Md Apel Mahmud & Amanullah Maung Than Oo, 2018. "Generalized Dynamical Modeling of Multiple Photovoltaic Units in a Grid-Connected System for Analyzing Dynamic Interactions," Energies, MDPI, vol. 11(2), pages 1-12, January.
    3. Yuan, Xiaohui & Chen, Zhihuan & Yuan, Yanbin & Huang, Yuehua & Li, Xianshan & Li, Wenwu, 2016. "Sliding mode controller of hydraulic generator regulating system based on the input/output feedback linearization method," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 119(C), pages 18-34.
    4. Muhammad Awais & Laiq Khan & Saghir Ahmad & Sidra Mumtaz & Rabiah Badar, 2020. "Nonlinear adaptive NeuroFuzzy feedback linearization based MPPT control schemes for photovoltaic system in microgrid," PLOS ONE, Public Library of Science, vol. 15(6), pages 1-36, June.
    5. Mahela, Om Prakash & Shaik, Abdul Gafoor, 2017. "Comprehensive overview of grid interfaced solar photovoltaic systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 316-332.
    6. Savić, Aleksandar & Đurišić, Željko, 2014. "Optimal sizing and location of SVC devices for improvement of voltage profile in distribution network with dispersed photovoltaic and wind power plants," Applied Energy, Elsevier, vol. 134(C), pages 114-124.
    7. Kim, Wook & Duong, Van-Huan & Nguyen, Thanh-Tuan & Choi, Woojin, 2013. "Analysis of the effects of inverter ripple current on a photovoltaic power system by using an AC impedance model of the solar cell," Renewable Energy, Elsevier, vol. 59(C), pages 150-157.
    8. 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.
    9. Obi, Manasseh & Bass, Robert, 2016. "Trends and challenges of grid-connected photovoltaic systems – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 1082-1094.
    10. Hassaine, L. & OLias, E. & Quintero, J. & Salas, V., 2014. "Overview of power inverter topologies and control structures for grid connected photovoltaic systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 796-807.
    11. Muhammad Yasir Ali Khan & Haoming Liu & Zhihao Yang & Xiaoling Yuan, 2020. "A Comprehensive Review on Grid Connected Photovoltaic Inverters, Their Modulation Techniques, and Control Strategies," Energies, MDPI, vol. 13(16), pages 1-40, August.
    12. Anupama Ganguly & Pabitra Kumar Biswas & Chiranjit Sain & Ahmad Taher Azar & Ahmed Redha Mahlous & Saim Ahmed, 2023. "Horse Herd Optimized Intelligent Controller for Sustainable PV Interface Grid-Connected System: A Qualitative Approach," Sustainability, MDPI, vol. 15(14), pages 1-26, July.
    13. Parlak, Koray Sener, 2014. "FPGA based new MPPT (maximum power point tracking) method for PV (photovoltaic) array system operating partially shaded conditions," Energy, Elsevier, vol. 68(C), pages 399-410.
    14. Shaowu Li, 2021. "Circuit Parameter Range of Photovoltaic System to Correctly Use the MPP Linear Model of Photovoltaic Cell," Energies, MDPI, vol. 14(13), pages 1-27, July.
    15. Sidra Mumtaz & Saghir Ahmad & Laiq Khan & Saima Ali & Tariq Kamal & Syed Zulqadar Hassan, 2018. "Adaptive Feedback Linearization Based NeuroFuzzy Maximum Power Point Tracking for a Photovoltaic System," Energies, MDPI, vol. 11(3), pages 1-15, March.
    16. Kermadi, Mostefa & Berkouk, El Madjid, 2017. "Artificial intelligence-based maximum power point tracking controllers for Photovoltaic systems: Comparative study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 369-386.

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