Performance Enhancement of PV Array under Partial Shading Conditions Using Sudoku 5×5 Cross Pattern Configurations
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Abstract
This paper presents the performance enhancement of PV array modules under partial shading conditions, in which the partial shading effect is reduced by spreading the shading pattern using Physical Relocation of Module with Fixed Electrical Connections—PRM-FEC. Five Sudoku 5×5 cross-pattern techniques are used, SD1, SD2, SD3, SD4, and SD5, compared with the standard TCT configuration. The study uses a 10 W polycrystalline solar panel (VP-SP-10 Wp) parameter and TCT module topology with five shading patterns: SW, SN, LW, LN, and without shading (NS). The shaded and unshaded modules are assigned solar radiation intensities of 300 W/m2 and 1,000 W/m2, respectively, at a module temperature of 25 °C. Parameters are simulated for the performance analysis of the PV array module in the MATLAB/Simulink program. From the simulation results, the proposed arrangement can enhance the performance of the array modules compared to the TCT Std. configuration in the case of partial shading of SW, SN, and LW by 22.9, 4.29, and 18.63%, respectively. The SD5 configuration was able to increase the LW shading performance by 21.81%, demonstrating that the proposed technique was able to reduce the effect of partial shading. The results of this research can be applied to the proposed arrangement pattern in the installation of solar arrays to effectively reduce the effects of partial shading.
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References
T. Namhormchan, “Comparative study of enhanced power generation photovoltaic array under partial shading conditions using magic square row shifting technique,” EAUHJSci, vol. 15, no. 2, pp. 247–261, 2021 (in Thai).
A. de S. Lima, A. V. S. Moreira, A. L. Mai telli and L. S. Barros, “Maximum power point tracking through magic square for photovoltaic modules under partial shading,” in Proceedings 2019 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America), 2019, pp. 1–6,
T. Namhormchan, “Comparative study of PV array performance from array topologies under partial shading using magic square row shifting technique,” EAUHJSci, vol. 15, no. 3, pp. 84–104, 2021 (in Thai).
V. P. Madhanmohan, M. Nandakumar, and A. Saleem, “Enhanced performance of partially shaded photovoltaic arrays using diagonally dispersed total cross tied configuration,” Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, pp. 1–19, 2020.
K. Rajani and T. Ramesh, “Maximum power enhancement under partial shadings using a modified Sudoku reconfiguration,” CSEE Journal of Power and Energy Systems, vol. 7, no. 6, pp. 1187–1201, 2021.
V. Bala Raju, and Ch. Chengaiah, “Performance analysis of conventional, hybrid and optimal PV array configurations of partially shaded modules,” International Journal of Engineering and Advanced Technology (IJEAT), vol. 9, no. 1, pp. 3061–3073, 2019.
D. B. Mishra, R. Mishra, K. N. Das, A. A. Acharya, “Solving Sudoku puzzles using evolutionary techniques—A systematic survey,” in Soft Computing: Theories and Applications. Advances in Intelligent Systems and Computing, vol 583. Springer, Singapore, (2018).
V. Deshpande, and S. B. Bodkhe, “Ant colony optimization for optimal photovoltaic array reconfiguration under partial shading condition,” International Research Journal of Engineering and Technology (IRJET), vol. 4, no. 12, pp. 1402–1410, 2017.
H. S. Sahu and S. K. Nayak, “Extraction of maximum power from a PV array under nonuniform irradiation conditions,” IEEE Transactions on Electron Devices, vol. 63, no. 12, pp. 4825–4831, 2016.
G. Sai Krishna and T. Moger, “Improved SuDoKu reconfiguration technique for total-cross-tied PV array to enhance maximum power under partial shading conditions,” Renewable and Sustainable Energy Reviews, vol. 109, pp. 333–348, 2019.
