A Generalized Henon Map-Based Solar PV Array Reconfiguration Technique for Power Augmentation and Mismatch Mitigation

References

• A. K. Gupta, Y. K. Chauhan, and T. Maity, “A new gamma scaling maximum power point tracking method for solar photovoltaic panel feeding energy storage system,” IETE. J. Res., Vol. 67, no. 1, pp. 15–35. DOI: 10.1080/03772063.2018.1530617.
   Web of Science ®Google Scholar
• P. Guerriero, and S. Daliento, “Toward a hot spot free PV module,” IEEE J. Photovolt, Vol. 9, no. 3, pp. 796–802, 2019. DOI: 10.1109/JPHOTOV.2019.2894912.
   Web of Science ®Google Scholar
• Y. Mahmoud, and Z. Alqaisi, “Rule based model for power peaks of overlapped PV arrays,” IEEE Trans. Sustain. Energy, Vol. 12, no. 2, pp. 1426–38, 2021. DOI: 10.1109/TSTE.2020.3048300.
   Web of Science ®Google Scholar
• B. Yang, et al., “PV arrays reconfiguration for partial shading mitigation: recent advances, challenges and perspectives,” Energy Convers. Manage., Vol. 247, pp. 114738, 2021. DOI: 10.1016/j.enconman.2021.114738.
   Web of Science ®Google Scholar
• N. Kumar, S. Nema, R. K. Nema, and D. Verma, “A state-of-the-art review on conventional, soft computing, and hybrid techniques for shading mitigation in photovoltaic applications,” Int. Trans. Electr. Energy Syst, Vol. 30, no. 9, pp. e12420, 2020. DOI:10.1002/2050-7038.12420.
   Web of Science ®Google Scholar
• A. I. M. Ali, H. Ramadan, and A. Mohamed, “Improved P&O MPPT algorithm with efficient open-circuit voltage estimation for two-stage grid-integrated PV system under realistic solar radiation,” Int. J. Electr. Power Energy Syst., Vol. 137, pp. 107805, 2022. DOI: 10.1016/j.ijepes.2021.107805.
   Web of Science ®Google Scholar
• D. Fares, M. Fathi, I. Shams, and S. Mekhilef, “A novel global MPPT technique based on squirrel search algorithm for PV module under partial shading conditions,” Energy Convers. Manage., Vol. 230, pp. 113773, 2021. DOI: 10.1016/j.enconman.2020.113773.
   Web of Science ®Google Scholar
• S. M. Sousa, L. S. Gusman, T. A. S. Lopes, H. A. Pereira, and J. M. S. Callegari, “MPPT algorithm in single loop current-mode control applied to dc–dc converters with input current source characteristics,” Int. J. Electr. Power Energy Syst., Vol. 138, pp. 107909, 2022. DOI: 10.1016/j.ijepes.2021.107909.
   Web of Science ®Google Scholar
• R. Celikel, M. Yilmaz, and A. Gundogdu, “A voltage scanning-based MPPT method for PV power systems under complex partial shading conditions,” Renewable Energy, Vol. 184, pp. 361–73, 2022. DOI: 10.1016/j.renene.2021.11.098.
   Web of Science ®Google Scholar
• B. Yang, et al., “Socio-inspired democratic political algorithm for optimal PV array reconfiguration to mitigate partial shading,” Sustain. Energy Technol. Assess, Vol. 48, pp. 101627, 2021. DOI: 10.1016/j.seta.2021.101627.
   Web of Science ®Google Scholar
• K. S. Parlak, “PV array reconfiguration method under partial shading conditions,” Int. J. Electr. Power Energy Syst., Vol. 63, pp. 713–21, 2014. DOI:10.1016/j.ijepes.2014.06.042.
   Web of Science ®Google Scholar
• S. N. Deshkar, S. B. Dhale, J. S. Mukherjee, T. S. Babu, and N. Rajasekar, “Solar PV array reconfiguration under partial shading conditions for maximum power extraction using genetic algorithm,” Renewable Sustainable Energy Rev., Vol. 43, pp. 102–10, 2015. DOI: 10.1016/j.rser.2014.10.098.
   Web of Science ®Google Scholar
• T. S. Babu, J. P. Ram, T. Dragičević, M. Miyatake, F. Blaabjerg, and N. Rajasekar, “Particle swarm optimization based solar PV array reconfiguration of the maximum power extraction under partial shading conditions,” IEEE Trans. Sustain. Energy, Vol. 9, no. 1, pp. 74–85, 2018. DOI: 10.1109/TSTE.2017.2714905.
   Web of Science ®Google Scholar
• D. Yousri, S. B. Thanikanti, K. Balasubramanian, A. Osama, and A. Fathy, “Multi-objective grey wolf optimizer for optimal design of switching matrix for shaded PV array dynamic reconfiguration,” IEEE. Access., Vol. 8, pp. 159931–46, 2020. DOI: 10.1109/ACCESS.2020.3018722.
   Web of Science ®Google Scholar
• D. Yousri, D. Allam, and M. B. Eteiba, “Optimal photovoltaic array reconfiguration for alleviating the partial shading influence based on a modified harris hawks optimizer,” Energy Convers. Manage., Vol. 206, pp. 112470, 2020. DOI: 10.1016/j.enconman.2020.112470.
   Web of Science ®Google Scholar
• R. Pachauri, R. Singh, A. Gehlot, R. Samakaria, and S. Choudhury, “Experimental analysis to extract maximum power from PV array reconfiguration under partial shading conditions,” Int. J. Eng. Sci. Technol., Vol. 22, no. 1, pp. 109–30, 2019. DOI: 10.1016/j.jestch.2017.11.013.
   Web of Science ®Google Scholar
• G. H. K. Varma, V. R. Barry, R. K. Jain, and D. Kumar, “An MMTES algorithm for dynamic photovoltaic array reconfiguration to enhance power output under partial shading conditions,” IET Renew. Power Gener., Vol. 15, no. 4, pp. 809–20, 2021. DOI:10.1049/rpg2.12070.
   Web of Science ®Google Scholar
• L. Bouselham, A. Rabhi, B. Hajji, and A. Mellit, “Photovoltaic array reconfiguration method based on fuzzy logic and recursive least squares: An experimental validation,” Energy, Vol. 232, pp. 121107, 2021. DOI: 10.1016/j.energy.2021.121107.
   Web of Science ®Google Scholar
• B. I. Rani, G. S. Ilango, and C. Nagamani, “Enhanced power generation from PV array under partial shading conditions by shade dispersion using Su Do Ku configuration,” IEEE Trans. Sustain. Energy, Vol. 4, no. 3, pp. 594–601, 2013. DOI: 10.1109/TSTE.2012.2230033.
   Web of Science ®Google Scholar
• S. G. Krishna, and T. Moger, “Optimal SuDoKu reconfiguration technique for total-cross-tied PV array to increase power output under non-uniform irradiance,” IEEE Trans. Energy Convers., Vol. 34, no. 4, pp. 1973–84, 2019. DOI: 10.1109/TEC.2019.2921625.
   Web of Science ®Google Scholar
• K. Rajani, and T. Ramesh, “Maximum power enhancement under partial shadings using modified Sudoku reconfiguration,” CSEE J. Power Energy Syst., Vol. 7, no. 6, pp. 1187–201, Nov. 2021. DOI: 10.17775/CSEEJPES.2020.01100.
   Web of Science ®Google Scholar
• S. Anjum, V. Mukherjee, and G. Mehta, “Hyper SuDoKu-based solar photovoltaic array reconfiguration for maximum power enhancement under partial shading conditions,” J. Energy Resour. Technol. ASME, Vol. 144, no. 3, pp. 031302, 2022. DOI:10.1115/1.4051427.
   Web of Science ®Google Scholar
• N. Rakesh, and V. M. R. Tatabhatla, “Performance enhancement of partially shaded solar PV array using novel shade dispersion technique,” Front. Energy, Vol. 10, pp. 227–39, 2016. DOI:10.1007/s11708-016-0405-y.
   Web of Science ®Google Scholar
• P. R. Satpathy, R. Sharma, and S. Jena, “A shade dispersion interconnection scheme for partially shaded modules in a solar PV array network,” Energy, Vol. 139, pp. 350–65, 2017. DOI: 10.1016/j.energy.2017.07.161.
   Web of Science ®Google Scholar
• N. Belhaouas, M. S. A. Cheikh, P. Agathoklis, M. R. Oularbi, B. Amrouche, K. Sedraoui, and N. Djilali, “PV array power output maximization under partial shading using new shifted PV array arrangements,” Appl. Energy, Vol. 187, pp. 326–37, 2017. DOI: 10.1016/j.apenergy.2016.11.038.
   Web of Science ®Google Scholar
• I. Nasiruddin, S. Khatoon, M. F. Jalil, and R. C. Bansal, “Shade diffusion of partial shaded PV array by using odd-even structure,” Sol. Energy, Vol. 181, pp. 519–29, 2019. DOI: 10.1016/j.solener.2019.01.076.
   Web of Science ®Google Scholar
• B. Dhanalakshmi, and N. Rajasekar, “A novel Competence square based PV array reconfiguration technique for solar PV maximum power extraction,” Energy Convers. Manage., Vol. 174, pp. 897–912, 2018. DOI: 10.1016/j.enconman.2018.08.077.
   Web of Science ®Google Scholar
• P. R. Satpathy, and R. Sharma, “Power loss reduction in partially shaded PV arrays by a static SDP technique,” Energy, Vol. 156, pp. 569–85, 2018. DOI: 10.1016/j.energy.2018.05.131.
   Web of Science ®Google Scholar
• B. Dhanalakshmi, and N. Rajasekar, “Dominance square based array reconfiguration scheme for power loss reduction in solar PhotoVoltaic (PV) systems,” Energy Convers. Manage., Vol. 156, pp. 84–102, 2018. DOI: 10.1016/j.enconman.2017.10.080.
   Web of Science ®Google Scholar
• P. R. Satpathy, and R. Sharma, “Power and mismatch losses mitigation by a fixed electrical reconfiguration technique for partially shaded photovoltaic arrays,” Energy Convers. Manage., Vol. 192, pp. 52–70, 2019. DOI: 10.1016/j.enconman.2019.04.039.
   Web of Science ®Google Scholar
• M. S. S. Nihanth, J. P. Ram, D. S. Pillai, A. M. Y. M. Ghias, A. Garg, and N. Rajasekar, “Enhanced power production in PV arrays using a new skyscraper puzzle based one-time reconfiguration procedure under partial shade conditions (PSCs),” Sol. Energy, Vol. 194, pp. 209–24, 2019. DOI: 10.1016/j.solener.2019.10.020.
   Web of Science ®Google Scholar
• A. A. Desai, and S. Mikkili, “Novel hybrid PV configurations to enhance the output power and efficiency by minimising the number of peaks and mismatching loss,” IETE. J. Res. 2021. DOI: 10.1080/03772063.2021.1943012.
   Web of Science ®Google Scholar
• P. K. Bonthagorla, and S. Mikkili, “A novel fixed PV array configuration for harvesting maximum power from shaded modules by reducing the number of cross-ties,” IEEE. J. Emerg. Sel. Top. Power. Electron., Vol. 9, no. 2, pp. 2109–21, 2021. DOI: 10.1109/JESTPE.2020.2979632.
   Web of Science ®Google Scholar
• V. M. R. Tatabhatla, A. Agarwal, and T. Kanumuri, “Improved power generation by dispersing the uniform and non-uniform partial shades in solar photovoltaic array,” Energy Convers. Manage., Vol. 197, pp. 111825, 2019. DOI:10.1016/j.enconman.2019.111825.
   Web of Science ®Google Scholar
• V. M. R. Tatabhatla, A. Agarwal, and T. Kanumuri, “A generalized chaotic baker map configuration for reducing the power loss under shading conditions,” Electr. Eng., Vol. 102, pp. 2227–44. DOI:10.1007/s00202-020-01016-4.
   Web of Science ®Google Scholar
• S. S. Reddy, and C. Yammani, “Odd-even-prime pattern for PV array to increase power output under partial shading conditions,” Energy, Vol. 213, pp. 118780, 2020. DOI:10.1016/j.energy.2020.118780.
   Web of Science ®Google Scholar
• R. Venkateswari, and N. Rajasekar, “Power enhancement of PV system via physical array reconfiguration based Lo Shu technique,” Energy Convers. Manage., Vol. 215, pp. 112885, 2020. DOI:10.1016/j.enconman.2020.112885.
   Web of Science ®Google Scholar
• 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, DOI: 10.1080/15567036.2020.1826008.
   Google Scholar
• V. C. Chavan, and S. Mikkili, “Effect of PV array positioning on mismatch and wiring losses in static array reconfiguration,” IETE. J. Res. 2021. DOI: 10.1080/03772063.2021.1945957.
   Web of Science ®Google Scholar
• N. Rakesh, S. Subramaniam, B. Natarajan, and M. Udugula, “A non-puzzle based interconnection scheme for energy savings and income generation from partially shaded photovoltaic modules,” Energy Sources Part A (2022. DOI: 10.1080/15567036.2022.2029973.
   Google Scholar
• G. H. K. Varma, V. R. Barry, and R. K. Jain, “A novel magic square based physical reconfiguration for power enhancement in larger size photovoltaic array,” IETE. J. Res. 2021. DOI: 10.1080/03772063.2021.1944333.
   Web of Science ®Google Scholar
• W. Shinong, M. Qianlong, X. Jie, G. Yuan, and L. Shilin, “An improved mathematical model of photovoltaic cells based on datasheet information,” Sol. Energy, Vol. 199, pp. 437–46, 2020. DOI:10.1016/j.solener.2020.02.046.
   Web of Science ®Google Scholar
• X. Kang, and R. Tao, “Color image encryption using pixel scrambling operator and reality-preserving MPFRHT,” IEEE Trans. Circuits Syst. Video Technol., Vol. 29, no. 7, pp. 1919–32, 2019.
   Web of Science ®Google Scholar
• T. Li, B. Du, and X. Liang, “Image encryption algorithm based on logistic and two-dimensional Lorenz,” IEEE. Access., Vol. 8, pp. 13792–805, 2020.
   Web of Science ®Google Scholar
• M. Henon, “A two-dimensional mapping with a strange attractor,” Commun. Math. Phys., Vol. 50, pp. 69–77, 1976.
   Web of Science ®Google Scholar
• P. Ping, Y. Mao, X. Lv, F. Xu, and G. Xu, “An image scrambling algorithm using discrete Henon map,” Int. Conf. Inf. Autom, pp. 429–32, 2015.
   Google Scholar