Comparison of maximum power point tracking techniques used in photovoltaic system
Abstract
Among the various renewable energy sources, photovoltaic (PV) systems are experiencing a great expansion, due to their low polluting levels, the abundance of solar energy and the cost decreasing of PV technologies, attracting research and investments in the field. The maximum power generated in a PV panel varies according to irradiation and temperature. Since the conversion efficiency of photovoltaic modules is low, it is necessary to implement sophisticated control techniques for monitoring the maximum power point (MPPT). Maximum power point tracking techniques are automatic control algorithms that adjust power interfaces to achieve the maximum power generation, during variations in irradiation, temperature, and characteristics of the photovoltaic module. The purpose of the MPPT is to adjust the solar panel operating voltage near the maximum power point (MPP) according to environmental conditions. This technique has become an essential component in photovoltaic power system designs. This article presents comparison of the performance of various MPPT tracking methods in photovoltaic systems using the MATLAB/Simulink software and a comparative approach.
Downloads
References
R. Faranda, S. Leva, and V. Maugeri, “MPPT techniques for PV Systems: Energetic and cost comparison,” in 2008 IEEE Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century, 2008, pp. 1–6, doi: 10.1109/PES.2008.4596156.
M. A. Eltawil and Z. Zhao, “MPPT techniques for photovoltaic applications,” Renewable and Sustainable Energy Reviews, vol. 25. Elsevier Ltd, pp. 793–813, 01-Sep-2013, doi: 10.1016/j.rser.2013.05.022.
M. Brito, L. Sampaio, G. Melo, and Canesin CA, “Contribuição ao estudo dos principais algoritmos de extração da máxima potência dos painéis fotovoltaicos,” Eletrônica De Potência, vol. 17, no. 3, Aug. 2012, doi: http://dx.doi.org/10.18618/REP.2012.3.592600.
S. B. Kjær, “Evaluation of the ‘Hill Climbing’ and the ‘Incremental Conductance’ Maximum Power Point Trackers for Photovoltaic Power Systems,” IEEE Trans. Energy Convers., vol. 27, no. 4, pp. 922–929, 2012, doi: 10.1109/TEC.2012.2218816.
S. Oliveira da Silva, L. Campanhol, V. Bacon, and L. Sampaio, “Single-Phase Grid-Connected Photovoltaic System with Active Power Line Conditioning,” Eletrônica De Potência, vol. 20, no. 1, pp. 1–11, Nov. 2015, doi: http://dx.doi.org/10.18618/REP.2015.1.008018.
L. Tang, W. Xu, and C. Mu, “Analysis for step-size optimisation on MPPT algorithm for photovoltaic systems,” IET Power Electron., vol. 10, no. 13, pp. 1647–1654, 2017, doi: 10.1049/iet-pel.2016.0981.
S. B. Jeyaprabha and A. I. Selvakumar, “Model-Based MPPT for Shaded and Mismatched Modules of Photovoltaic Farm,” IEEE Trans. Sustain. Energy, vol. 8, no. 4, pp. 1763–1771, Oct. 2017, doi: 10.1109/TSTE.2017.2710302.
G. FILHO, R. A. P. FRANCO, and F. H. Vieira, “Algoritmo de Seguimento do Ponto de Máxima Potência para Sistemas Fotovoltaicos considerando Minimização de Erro e Derivada da Potência,” Tendencias em Matemática Apl. e Comput., vol. 21, pp. 157–170, Apr. 2020, doi: 10.5540/tema.2020.021.01.00157.
E. N. Chaves, J. H. Reis, E. A. A. Coelho, L. C. G. Freitas, J. B. V Junior, and L. C. Freitas, “Simulated Annealing ‑ MPPT in Partially Shaded PV Systems,” IEEE Lat. Am. Trans., vol. 14, no. 1, pp. 235–241, 2016, doi: 10.1109/TLA.2016.7430084.
J. Lopez-Seguel, S. I. Seleme, P. Donoso-Garcia, L. F. Morais, P. Cortizo, and M. S. Mendes, “Comparison of MPPT approaches in autonomous photovoltaic energy supply system using DSP,” in 2010 IEEE International Conference on Industrial Technology, 2010, pp. 1149–1154, doi: 10.1109/ICIT.2010.5472594.
Weidong Xiao, W. G. Dunford, and A. Capel, “A novel modeling method for photovoltaic cells,” in 2004 IEEE 35th Annual Power Electronics Specialists Conference (IEEE Cat. No.04CH37551), 2004, vol. 3, pp. 1950-1956 Vol.3, doi: 10.1109/PESC.2004.1355416.
D. F. Zaions, A. J. Balbino, C. L. Baratieri, and A. L. Stankiewicz, “Comparative analysis of buck and boost converters applied to different maximum power point tracking techniques for photovoltaic systems,” in 2017 Brazilian Power Electronics Conference (COBEP), 2017, pp. 1–6, doi: 10.1109/COBEP.2017.8257383.
This work is licensed under a Creative Commons Attribution 4.0 International License.
