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Maximum Power Point Tracker Controller Using Fuzzy Logic Control with Battery Load for Photovoltaics Systems

DOI: 10.4236/sgre.2021.1210010, PP. 163-181

Keywords: MPPT Controller, Fuzzy Logic Control, PV System, Matlab Simulink

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Abstract:

The target of this paper is to model a Maximum Power Point Tracker (MPPT) using a Fuzzy Logic Control (FLC) algorithm and to investigate its behavior with a battery load. The advantage of this study over other studies in this field is that it considers a battery load rather than the commonly used resistive load especially when we deal with the relationship between MPPT and system load. The system is about 60 kW which is simulated under various environmental conditions by Matlab/Simulink program. For this type of non-linear application, FLC naturally offers a superior controller for the real load case. The artificial intelligence approach also benefits from this method for overcoming the complexity of nonlinear system modelling. The results show that FLC provides high performance for MPPT of PV system with battery load due to its low settling time and limited oscillation around the steady state value. These are assistant factors for increasing battery life.

References

[1]  Lay-Ekuakille, A., Vergallo, P., Arnesano, A., Morello, R. and De Capua, C. (2013) Effects of Environmental Conditions on Photovoltaic Module Measurements. 2013 Seventh International Conference on Sensing Technology, Wellington, 3-5 December 2013, 933-936.
https://doi.org/10.1109/ICSensT.2013.6727786
[2]  Panagea, I.S., Tsanis, I.K., Koutroulis, A.G. and Grillakis, M.G. (2014) Climate Change Impact on Photovoltaic Energy Output: The Case of Greece. Advances in Meteorology, 2014, Article ID: 264506.
https://doi.org/10.1155/2014/264506
[3]  Khan, R., Khan, L., Ullah, S., Sami, I. and Ro, J.S. (2020) Backstepping Based Super-Twisting Sliding Mode MPPT Control with Differential Flatness Oriented Observer Design for Photovoltaic System. Electronics, 9, Article ID: 1543.
https://doi.org/10.3390/electronics9091543
[4]  Motahhir, S., El Hammoumi, A. and El Ghzizal, A. (2018) Photovoltaic System with Quantitative Comparative between an Improved MPPT and Existing INC and P&O Methods under Fast Varying of Solar Irradiation. Energy Reports, 4, 341-350.
https://doi.org/10.1016/j.egyr.2018.04.003
[5]  Zischke, D. (2017) Maximum Power Point Tracking.
https://bluesat.com.au/maximum-power-point-tracking/
[6]  Ortiz Valencia, P.A. and Ramos-Paja, C.A. (2015) Sliding-Mode Controller for Maximum Power Point Tracking in Grid-Connected Photovoltaic Systems. Energies, 8, 12363-12387.
https://doi.org/10.3390/en81112318
[7]  Abou El Ela, M. and Roger, J.A. (1984) Optimization of the Function of a Photovoltaic Array Using a Feedback Control System. Solar Cells, 13, 107-119.
https://doi.org/10.1016/0379-6787(84)90002-4
[8]  Bendib, B., Belmili, H. and Krim, F. (2015) A Survey of the Most Used MPPT Methods: Conventional and Advanced Algorithms Applied for Photovoltaic Systems. Renewable and Sustainable Energy Reviews, 45, 637-648.
https://doi.org/10.1016/j.rser.2015.02.009
[9]  Anurag, A., Bal, S., Sourav, S. and Nanda, M. (2016) A Review of Maximum Power-Point Tracking Techniques for Photovoltaic Systems. International Journal of Sustainable Energy, 35, 478-501.
https://doi.org/10.1080/14786451.2014.918979
[10]  Jayakumaran, T., et al., (2018) A Comprehensive Review on Maximum Power Point Tracking Algorithms for Photovoltaic Cells. 2018 International Conference on Computation of Power, Energy, Information and Communication, Chennai, 28-29 March 2018, 343-348.
https://doi.org/10.1109/ICCPEIC.2018.8525191
[11]  Joshi, P. and Arora, S. (2017) Maximum Power Point Tracking Methodologies for Solar PV Systems—A Review. Renewable and Sustainable Energy Reviews, 70, 1154-1177.
https://doi.org/10.1016/j.rser.2016.12.019
[12]  Urayai, C. and Amaratunga, G.A.J. (2013) Single-Sensor Maximum Power Point Tracking Algorithms IET Renewable Power Generation, 7, 82-88.
https://doi.org/10.1049/iet-rpg.2011.0264
[13]  De Brito, M.A.G., Junior, L.G., Sampaio, L.P., Melo, G.A.E. and Canesin, C.A. (2011) Main Maximum Power Point Tracking Strategies Intended for Photovoltaics. XI Brazilian Power Electronics Conference, Natal, 11-15 September, 524-530.
https://doi.org/10.1109/COBEP.2011.6085188
[14]  Sahu, P., Sharma, A. and Dey, R. (2020) Ripple Correlation Control Maximum Power Point Tracking for Battery Operated PV Systems: A Comparative Analysis. 2020 IEEE International IOT, Electronics and Mechatronics Conference, Vancouver, 9-12 September 2020, 1-6.
https://doi.org/10.1109/IEMTRONICS51293.2020.9216414
[15]  Trivedi, A., Gupta, A., Pachauri, R.K. and Chauhan, Y.K. (2017) Comparison of Perturb & Observe and Ripple Correlation Control MPPT Algorithms for PV Array. 2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems, Delhi, 4-6 July 2016, 1-5.
https://doi.org/10.1109/ICPEICES.2016.7853459
[16]  Belkaid, A., Colak, U. and Kayisli, K. (2017) A Comprehensive Study of Different Photovoltaic Peak Power Tracking Methods. 2017 IEEE 6th International Conference on Renewable Energy Research and Applications, San Diego, 5-8 November 2017, 1073-1079.
https://doi.org/10.1109/ICRERA.2017.8191221
[17]  Ibnelouad, A., El Kari, A., Ayad, H. and Mjahed, M. (2017) A Comprehensive Comparison of the Classic and Intelligent Behavior MPPT Techniques for PV Systems. 2017 14th International Multi-Conference on Systems, Signals & Devices, Marrakech, 28-31 March 2017, 526-531.
https://doi.org/10.1109/SSD.2017.8166966
[18]  Hamed, B.M and El-Moghany, M.S. (2012) Fuzzy Controller Design Using FPGA for Photovoltaic Maximum Power Point Tracking. International Journal of Advanced Research in Artificial Intelligence, 1, 14-21.
https://doi.org/10.14569/IJARAI.2012.010303
[19]  Ali, A.I.M., Mohamed, E.E.M. and Youssef, A.R. (2018) MPPT Algorithm for Grid-Connected Photovoltaic Generation Systems via Model Predictive Controller. 2017 Nineteenth International Middle East Power Systems Conference, Cairo, 19-21 December 2017, 895-900.
https://doi.org/10.1109/MEPCON.2017.8301286
[20]  Samosir, A.S., Gusmedi, H., Purwiyanti, S. and Komalasari, E. (2018) Modeling and Simulation of Fuzzy Logic Based Maximum Power Point Tracking (MPPT) for PV Application. International Journal of Electrical and Computer Engineering, 8, 1315-1323.
https://doi.org/10.11591/ijece.v8i3.pp1315-1323
[21]  Youssef, A., El Telbany, M. and Zekry, A. (2018) Reconfigurable Generic FPGA Implementation of Fuzzy Logic Controller for MPPT of PV Systems. Renewable and Sustainable Energy Reviews, 82, 1313-1319.
https://doi.org/10.1016/j.rser.2017.09.093
[22]  Bounechba, H., Bouzid, A., Nabti, K. and Benalla, H. (2014) Comparison of Perturb & Observe and Fuzzy Logic in Maximum Power Point Tracker for PV Systems. Energy Procedia, 50, 677-684.
https://doi.org/10.1016/j.egypro.2014.06.083
[23]  Hussein Selman, N. (2016) Comparison Between Perturb & Observe, Incremental Conductance and Fuzzy Logic MPPT Techniques at Different Weather Conditions. International Journal of Innovative Research in Science, Engineering and Technology, 5, 12556-12569.
https://doi.org/10.15680/IJIRSET.2016.0507069
[24]  Sasi, M.A. (2017) Fuzzy Logic Control of MPPT Controller for PV Systems. Master’s Thesis, Memorial University of Newfoundland, St. John’s.
[25]  MathWorks Inc., Matlab R2020a.
https://www.mathworks.com

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