Improving Solar Photovoltaic Power System Performance Based on Maximum Power MPPT P&O-Fuzzy Using the Boost Converter

International Journal of Electrical and Electronics Engineering
© 2023 by SSRG - IJEEE Journal
Volume 10 Issue 11
Year of Publication : 2023
Authors : Tran Thuy Quynh, Chu Thi Thuy, Vo Quang Vinh, Vo Thanh Ha
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How to Cite?

Tran Thuy Quynh, Chu Thi Thuy, Vo Quang Vinh, Vo Thanh Ha, "Improving Solar Photovoltaic Power System Performance Based on Maximum Power MPPT P&O-Fuzzy Using the Boost Converter," SSRG International Journal of Electrical and Electronics Engineering, vol. 10,  no. 11, pp. 158-169, 2023. Crossref, https://doi.org/10.14445/23488379/IJEEE-V10I11P115

Abstract:

This paper introduces the MPPT control method to help PV solar cells reach maximum capacity thanks to the adaptive Fuzzy P&O MPPT algorithm. The power from the PV source through the traditional PI-controlled boost converter has a working point that always follows the MPPT point. Thanks to the Fuzzy P&O algorithm that allows adaptive correction of the perturbation step, the power can quickly reach a new maximum value when the ambient temperature and illuminance fluctuate. The new algorithm also eliminates oscillation around the MPPT’s entire operating point and improves the output voltage quality of the boost converter. The advantage of the adaptive Fuzzy P&O MPPT algorithm is confirmed by simulation on MATLAB with a 3.5kW, 100V for a PV system.

Keywords:

PV, MPPT-Fuzzy, Boost converter, Solar power system, MATLAB

References:

[1] H.A. Walker, Jal Desai, and D.M. Heimiller, Performance of Photovoltaic Systems Recorded by Open Solar Performance and Reliability Clearinghouse (oSPARC), No. NREL/TP-5C00-75162, National Renewable Energy Lab, pp. 1-28, 2020.
[CrossRef] [Google Scholar] [Publisher link]
[2] Dolf Gielen et al., Global Renewables Outlook: Energy Transformation 2050, International Renewable Energy Agency IRENA, pp. 1-212, 2020.
[Google Scholar] [Publisher link]
[3] Maria Van Der Hoeven, Technology Roadmap Solar Photovoltaic Energy, OECD/IEA, pp. 1-44, 2010.
[Google Scholar] [Publisher link]
[4] Adel Mellit, and Soteris A. Kalogirou, “MPPT-Based Artificial Intelligence Techniques for Photovoltaic Systems and its Implementation into Field Programmable Gate Array Chips: Review of Current Status and Future Perspectives,” Energy, vol. 70, pp. 1-21, 2014.
[CrossRef] [Google Scholar] [Publisher link]
[5] Amalraj Peter Amalathas, and Maan M. Alkaisi, “Nanostructures for Light Trapping in Thin Film Solar Cells,” Micromachines, vol. 10, no. 9, pp. 1-18, 2019.
[CrossRef] [Google Scholar] [Publisher link]
[6] D.F. Teshome, “A Modified Firefly Algorithm for Photovoltaic Maximum Power Point Tracking Control under Partial Shading,” IEEE Journal of Emerging and Selected Topics in Power Electronics, vol. 5, no. 2, pp. 661-671, 2017.
[CrossRef] [Google Scholar] [Publisher link]
[7] Cherukuri Santhan Kumar, and Rayapudi Srinivasa Rao, “A Novel Global MPP Tracking of Photovoltaic System Based on Whale Optimization Algorithm,” International Journal of Renewable Energy Development, vol. 5, no. 3, pp. 225-232, 2016.
[CrossRef] [Google Scholar] [Publisher link]
[8] Al-Attar Ali Mohamed, Ahmed Lotfy Haridy, and A.M. Hemeida, “The Whale Optimization Algorithm Based Controller for PMSG Wind Energy Generation System,” 2019 International Conference on Innovative Trends in Computer Engineering (ITCE), pp. 438- 443, 2019.
[CrossRef] [Google Scholar] [Publisher link]
[9] Kok Soon Tey et al., “Improved Differential Evolution-Based MPPT Algorithm Using SEPIC for PV Systems under Partial Shading Conditions and Load Variation,” IEEE Transactions on Industrial Informatics, vol. 14, no. 10, pp. 4322-4333, 2018.
[CrossRef] [Google Scholar] [Publisher link]
[10] Ke Guo et al., “An Improved Gray Wolf Optimizer MPPT Algorithm for PV System with BFBIC Converter under Partial Shading,” IEEE Access, vol. 8, pp. 103476-103490, 2020.
[CrossRef] [Google Scholar] [Publisher link]
[11] Bhubaneswari Parida, S. Iniyan, and Ranko Goic, “A Review of Solar Photovoltaic Technologies,” Renewable and Sustainable Energy Reviews, vol. 15, no. 3, pp. 1625-1636, 2011.
[CrossRef] [Google Scholar] [Publisher link]
[12] Trishan Esram, and Patrick L. Chapman, “Comparison of Photovoltaic Array Maximum Power Point Tracking Techniques,” IEEE Transactions on Energy Conversion, vol. 22, no. 2, pp. 439-449, 2007.
[CrossRef] [Google Scholar] [Publisher link]
[13] V. Salas et al., “Review of the Maximum Power Point Tracking Algorithms for Stand-Alone Photovoltaic Systems,” Solar Energy Materials and Solar Cells, vol. 90, no. 11, pp. 1555-1578, 2006.
[CrossRef] [Google Scholar] [Publisher link]
[14] Nicola Femia et al., Power Electronics and Control Techniques for Maximum Energy Harvesting in Photovoltaic Systems, CRC Press, pp. 1-366, 2012.
[Google Scholar] [Publisher link]
[15] D.P. Hohm, and M.E. Ropp, “Comparative Study of Maximum Power Point Tracking Algorithms,” Progress in Photovoltaics: Research and Applications, vol. 11, no. 1, pp. 47-62, 2003.
[CrossRef] [Google Scholar] [Publisher link]
[16] Dezso Sera et al., “On the Perturb-and-Observe and Incremental Conductance MPPT Methods for PV Systems,” IEEE Journal of Photovoltaics, vol. 3, no. 3, pp. 1070-1078, 2013.
[CrossRef] [Google Scholar] [Publisher link]
[17] B. Bendib et al., “An Intelligent MPPT Approach Based on Neural-Network Voltage Estimator and Fuzzy Controller, Applied to a Stand-Alone PV System,” 2014 IEEE 23rd International Symposium on Industrial Electronics (ISIE), pp. 404-409, 2014.
[CrossRef] [Google Scholar] [Publisher link]
[18] Jaw-Kuen Shiau, Yu-Chen Wei, and Bo-Chih Chen, “A Study on the Fuzzy- Logic-Based Solar Power MPPT Algorithms Using Different Fuzzy Input Variables,” Algorithms, vol. 8, no. 2, pp. 100-127, 2015.
[CrossRef] [Google Scholar] [Publisher link]
[19] Binh Nam Nguyen et al., “Propose a MPPT Algorithm Based on Thevenin Equivalent Circuit for Improving Photovoltaic System Operation,” Frontiers in Energy Research, vol. 8, pp. 1-14, 2020.
[CrossRef] [Google Scholar] [Publisher link]
[20] Binh Nam Nguyen et al., “A New Maximum Power Point Tracking Algorithm for the Photovoltaic Power System,” 2019 International Conference on System Science and Engineering (ICSSE), pp. 159-163, 2019.
[CrossRef] [Google Scholar] [Publisher link]
[21] Roberto F. Coelho, Filipe M. Concer, and Denizar C. Martins, “Analytical and Experimental Analysis of DC-DC Converters in Photovoltaic Maximum Power Point Tracking Applications,” IECON 2010 - 36th Annual Conference on IEEE Industrial Electronics Society, pp. 2778-2783, 2010.
[CrossRef] [Google Scholar] [Publisher link]
[22] Roberto F. Coelho, Walbermark M. dos Santos, and Denizar C. Martins, “Influence of Power Converters on PV Maximum Power Point Tracking Efficiency,” 2012 10th IEEE/IAS International Conference on Industry Applications, pp. 1-8, 2012.
[CrossRef] [Google Scholar] [Publisher link]
[23] Robert W. Erickson, and Dragan Maksimovic, Fundamentals of Power Electronics, Springer US, pp. 1-883, 2001.
[Google Scholar] [Publisher link]
[24] Colonel Wm. T. McLyman, Transformer and Inductor Design Handbook, 3rd ed., CRC Press, pp. 1-556, 2004.
[CrossRef] [Google Scholar] [Publisher link]
[25] Rick Zaitsu, “Voltage Mode Boost Converter Small Signal Control Loop Analysis Using the TPS61030,” Texas Instruments, pp. 1- 21, 2009.
[Google Scholar] [Publisher link]