An Intelligent Tracking Algorithm on Solar Cell Using Boost Converter
Solar energy can be regarded the most potent source of renewable energy as the globe shifts to renewable energy. The most prevalent device for generating electricity from light energy is solar photovoltaic cells. The final aim of this paper is to create a new Maximum Power Point Tracking (MPPT) approach based on a Fuzzy Logic Control (FLC) and a step up converter that can go Maximum Power Points (MPPs) rapidly, and adapt to changing environmental conditions. The simulation results indicated that the fuzzy tracking system can find the maximum point under quick sun radiation changing.
Ajiatmo, D., & Robandi, I. (2016). A hybrid Fuzzy Logic Controller-Firefly Algorithm (FLC-FA) based for MPPT Photovoltaic (PV) system in solar car. Paper presented at the 2016 IEEE International Conference on Power and Renewable Energy (ICPRE).
Aldalbahi, A., Shahabi, F., & Jasim, M. (2021). BRNN-LSTM for Initial Access in Millimeter Wave Communications. Electronics, 10(13), 1505.
Ali, M. N., Mahmoud, K., Lehtonen, M., & Darwish, M. M. (2021). An efficient fuzzy-logic based variable-step incremental conductance MPPT method for grid-connected PV systems. IEEE Access, 9, 26420-26430.
Attou, A., Massoum, A., & Saidi, M. (2014). Photovoltaic power control using MPPT and boost converter. Balkan journal of electrical & Computer Engineering, 2(1), 23-27.
Awasthi, A., Shukla, A. K., SR, M. M., Dondariya, C., Shukla, K., Porwal, D., & Richhariya, G. (2020). Review on sun tracking technology in solar PV system. Energy Reports, 6, 392-405.
Balal, A., & Herrera, M. (2021). Design a Power Converter to Charge a Hybrid Electric Vehicle. Paper presented at the 2021 IEEE 18th International Conference on Smart Communities: Improving Quality of Life Using ICT, IoT and AI (HONET).
Balal, A., & Shahabi, F. (2021a). Designing and Simulation a Reliable Standalone Solar/wind Hybrid System. Paper presented at the 2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT).
Balal, A., & Shahabi, F. (2021b). Ltspice Analysis of Double-Inductor Quadratic Boost Converter in Comparison with Quadratic Boost and Double Cascaded Boost Converter. Paper presented at the 2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT).
Bollipo, R. B., Mikkili, S., & Bonthagorla, P. K. (2020). Critical review on PV MPPT techniques: classical, intelligent and optimisation. IET Renewable Power Generation, 14(9), 1433-1452.
Fathah, A. (2013). Design of a Boost Converter.
Gopi, P., Lalitha, M. P., & Bhanu, S. A. J. (2021). A wind and solar based ac micro grid with optimized power quality for local non-linear loads. Paper presented at the 2021 International Conference on Technology and Policy in Energy and Electric Power (ICT-PEP).
Kelareh, A. Y., Shahri, P. K., Khoshnevis, S. A., & Valikhani, A. (2020). System Response Processing and HHT Method on Dynamic Specification Determination using Cloud Computation. Paper presented at the 2020 IEEE 17th International Conference on Smart Communities: Improving Quality of Life Using ICT, IoT and AI (HONET).
Kim, J.-C., Huh, J.-H., & Ko, J.-S. (2020). Optimization design and test bed of fuzzy control rule base for PV system MPPT in micro grid. Sustainability, 12(9), 3763.
Li, Q., Cherian, J., Shabbir, M. S., Sial, M. S., Li, J., Mester, I., & Badulescu, A. (2021). Exploring the relationship between renewable energy sources and economic growth. The case of SAARC countries. Energies, 14(3), 520.
Macaulay, J., & Zhou, Z. (2018). A fuzzy logical-based variable step size P&O MPPT algorithm for photovoltaic system. Energies, 11(6), 1340.
Motahhir, S., El Hammoumi, A., & El Ghzizal, A. (2020). The most used MPPT algorithms: Review and the suitable low-cost embedded board for each algorithm. Journal of cleaner production, 246, 118983.
Numbi, B., & Malinga, S. (2017). Optimal energy cost and economic analysis of a residential grid-interactive solar PV system-case of eThekwini municipality in South Africa. Applied Energy, 186, 28-45.
Rabaia, M. K. H., Abdelkareem, M. A., Sayed, E. T., Elsaid, K., Chae, K.-J., Wilberforce, T., & Olabi, A. (2021). Environmental impacts of solar energy systems: A review. Science of The Total Environment, 754, 141989.
Rubio, F. R., Berenguel, M., & Camacho, E. F. (1995). Fuzzy logic control of a solar power plant. IEEE transactions on fuzzy systems, 3(4), 459-468.
Salmi, T., Bouzguenda, M., Gastli, A., & Masmoudi, A. (2012). Matlab/simulink based modeling of photovoltaic cell. International Journal of Renewable Energy Research (IJRER), 2(2), 213-218.
Sayed, K., Gronfula, M. G., & Ziedan, H. A. (2020). Novel soft-switching integrated boost DC-DC converter for PV power system. Energies, 13(3), 749.
Sedaghati, F., & Pourjafar, S. (2019). Analysis and implementation of a boost DC–DC converter with high voltage gain and continuous input current. IET Power Electronics, 13(4), 798-807.
Seguel, J. L., & Seleme, S. I. (2021). Robust Digital Control Strategy Based on Fuzzy Logic for a Solar Charger of VRLA Batteries. Energies, 14(4), 1001.
Setnes, M., Babuska, R., Kaymak, U., & van Nauta Lemke, H. R. (1998). Similarity measures in fuzzy rule base simplification. IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 28(3), 376-386.
Taremi, R. S., Shahri, P. K., & Kalareh, A. Y. (2019). Design a tracking control law for the nonlinear continuous time fuzzy polynomial systems. Journal of Soft Computing and Decision Support Systems, 6(6), 21-27.
Yousefiankalareh, A., Najari, A., & Hosseynzadeh, M. (2020). Tree-based Routing Protocol in Wireless Sensor Networks using Optimization Algorithm Batch Particles with a Mobile Sink. Paper presented at the 2020 IEEE 17th International Conference on Smart Communities: Improving Quality of Life Using ICT, IoT and AI (HONET).
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