Fuzzy based sensorless tracking controller on the dual-axis PV panel for optimizing the power production
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Abstract
In general active sun trackers move because they respond to light sensors that measure the intensity of sunlight. However, sensor-based trackers are usually more expensive than sensor-less trackers. In addition, based on several studies, a comparison between the sensor and sensorless based tracker only reports lower tracking error and higher power generation for sensor-based than sensorless tracker. However, it does not include an analysis of energy use on the sensor. Therefore, this study aims to design a sensorless closed-loop tracking system for solar panels with two degrees of freedom. The tracking controller in this study is based on the Fuzzy Logic Controller (FLC) method. In this study, a dual-axis PV can increase power output by 20.2% compared to a fixed PV (0 ° axis position). In comparison to a fixed PV, dual-axis PV adjusts the solar panel perpendicular to the sun's position to optimize electrical conversion.
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How to Cite
[1]
B. Aprilia, M. Romdlony, J. Raharjo, and Y. Sidik, “Fuzzy based sensorless tracking controller on the dual-axis PV panel for optimizing the power production”, INFOTEL, vol. 13, no. 4, pp. 230-238, Dec. 2021.
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Electronics
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References
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[2] Aprillia, B. S., Keswara, I. M. H., Raharjo, J., Ramdhani, M., Adam, K. B., & Suhartono, E. (2020, December). Standalone Photovoltaic System Cost Optimization for Matantimali Village Central Sulawesi. In IOP Conference Series: Materials Science and Engineering (Vol. 982, No. 1, p. 012023). IOP Publishing.
[3] Aprillia, B.S. and M.A.F. Rigoursyah, Design On-Grid Solar Power System for 450 VA Conventional Housing using HOMER Software. 2020.
[4] Sun, H., Wang, H., & Qi, W. (2018). Automatic power decoupling controller of dependent power decoupling circuit for enhanced transient performance. IEEE Transactions on Industrial Electronics, 66(3), 1820-1831.
[5] Masih, A., & Odinaev, I. (2019, April). Performance Comparison of Dual Axis Solar Tracker with Static Solar System in Ural Region of Russia. In 2019 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT) (pp. 375-378). IEEE.
[6] Mitrofanov, S. V., Baykasenov, D. K., & Suleev, M. A. (2018, October). Simulation model of autonomous solar power plant with dual-axis solar tracker. In 2018 International Ural Conference on Green Energy (UralCon) (pp. 90-96). IEEE.
[7] Fuentes, M., Vivar, M., Burgos, J. M., Aguilera, J., & Vacas, J. A. (2014). Design of an accurate, low-cost autonomous data logger for PV system monitoring using Arduino™ that complies with IEC standards. Solar Energy materials and solar cells, 130, 529-543.
[8] Sawant, A., Bondre, D., Joshi, A., Tambavekar, P., & Deshmukh, A. (2018, August). Design and analysis of automated dual axis solar tracker based on light sensors. In 2018 2nd International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) I-SMAC (IoT in Social, Mobile, Analytics and Cloud)(I-SMAC), 2018 2nd International Conference on (pp. 454-459). IEEE.
[9] Tina, G.M., F. Arcidiacono, and A. Gagliano, Intelligent sun-tracking system based on multiple photodiode sensors for maximisation of photovoltaic energy production. Mathematics and Computers in Simulation, 2013. 91: p. 16-28.
[10] [11] de Sá Campos, M. H., & Tiba, C. (2021). npTrack: A n-Position Single Axis Solar Tracker Model for Optimized Energy Collection. Energies, 14(4), 925.
[11] Abdallah, S., & Nijmeh, S. (2004). Two axes sun tracking system with PLC control. Energy conversion and management, 45(11-12), 1931-1939.
[12] Ahmad, S., S. Shafie, and M.Z.A. Ab Kadir, Power feasibility of a low power consumption solar tracker. Procedia Environmental Sciences, 2013. 17: p. 494-502.
[13] Batayneh, W., A. Owais, and M. Nairoukh, An intelligent fuzzy based tracking controller for a dual-axis solar PV system. Automation in Construction, 2013. 29: p. 100-106.
[14] Seme, S., Štumberger, B., Hadžiselimović, M., & Sredenšek, K. (2020). Solar photovoltaic tracking systems for electricity generation: A review. Energies, 13(16), 4224.
[15] Taheem, A., Sachdeva, A., & Sharma, V. S. (2019). Solar Tracker: A Review.
[16] Lukman, F. S., Hasibuan, A., Setiawan, A., & Daud, M. (2020, September). Performance Of 25 KWP Rooftop Solar PV At Misbahul Ulum Building, Lhokseumawe City. In 2020 4th International Conference on Electrical, Telecommunication and Computer Engineering (ELTICOM) (pp. 81-86). IEEE.
[17] Xin-jiang, L. I. U., Yong, Z. H. E. N. G., & Chong-hui, L. I. (2020). Precise Determination of Astronomical Azimuth by the Hour Angle Method of Multiple Meridian Stars. Chinese Astronomy and Astrophysics, 44(4), 536-548.
[18] Yang, D. (2016). Solar radiation on inclined surfaces: Corrections and benchmarks. Solar Energy, 136, 288-302.
[19] Othman, A. B., Belkilani, K., & Besbes, M. (2018). Global solar radiation on tilted surfaces in Tunisia: Measurement, estimation and gained energy assessments. Energy Reports, 4, 101-109.
[20] Zadeh, L.A., Fuzzy sets. Information and control, 1965. 8(3): p. 338-353.
[21] King, P.J. and E.H. Mamdani, The application of fuzzy control systems to industrial processes. Automatica, 1977. 13(3): p. 235-242.
[22] Hagras, H.A., A hierarchical type-2 fuzzy logic control architecture for autonomous mobile robots. IEEE Transactions on Fuzzy systems, 2004. 12(4): p. 524-539.
[23] Tan, D.W.W.W., A simplified type-2 fuzzy logic controller for real-time control. ISA transactions, 2006. 45(4): p. 503-516.