A novel strategy for implementation of intelligent techniques in solar photovoltaic arrays to improve the performance and various comparison of partial shading mitigating techniques

References

• Alonso Garcia, M. C., and J. M. Ruiz. 2006. Analysis and modelling the reverse characteristic of photovoltaic cells. Solar Energy Materials & Solar Cells 90 (7–8):1105–20. doi:10.1016/j.solmat.2005.06.006.
   Web of Science ®Google Scholar
• Alonso-Gracia, M. C., J. M. Ruiz, and F. Chenlo. February 2006. Experimental study of mismatch and shading effects in the. Solar Energy Mater. Solar Cells 90(3):329–40. doi: 10.1016/j.solmat.2005.04.022.
   Web of Science ®Google Scholar
• Bhatttcharya, P. 2006. “Semiconductor Optoelectronic Devices.” ScienceDirectBhatttcharya: Pearson Education.
   Google Scholar
• Bletterie, B., and R. Bruendlinger, “Quantifying dynamic MPPT performance under realistic conditions—First test results: The way forward,” in Proc. 21st Eur. Photovoltaic Solar Energy Conf. Exhib., Dresden, Germany, September. 2006, pp. 2347–51.
   Google Scholar
• Bruendlinger, R., B. Bletterie, M. Milde, and H. Oldenkamp, “Maximum power point tracking performance under partially shaded PV array conditions,” in Proc. 21st EUPVSEC, Dresden, Germany, September. 2006a, pp. 2157–60.
   Google Scholar
• Bruendlinger, R., B. Bletterie, M. Milde, and H. Oldenkamp, “Maximum power point tracking performance under partially shaded PV array conditions”, in Proc. 21st EUPVSEC, Dresden, Germany, September. 2006b, pp. 2157–60.
   Google Scholar
• Caluianu, G. N., et al., “Photovoltaic energy generation under partially shading conditions “,Electromotion,Vol.10, No 8,July 2009. pp. 1-6.
   Google Scholar
• Carannante, G., C. Fraddanno, M. Pagano, L. Piegari, et al. November 2009. Experimental performance of MPPT algorithm for photovoltaic sources subject to inhomogeneous insolation. IEEE Transactions on Industrial Electronics 56 (11):No.11. doi:10.1109/TIE.2009.2019570.
   Google Scholar
• Deline, C. 2009, January. Partially shaded operation of A grid-tied pvsystem. IEEE Transactions On Industrial Electronics 1(978), pp. 001268-001273.
   Google Scholar
• Dezso, S. E. R. A., et al., “On the impact of partial shading on PV output power ” 2nd WSEAS/IASME International Conference on RENEWABLE ENERGY SOURCES (RES’08), Greece, October 2008.
   Google Scholar
• Dorofte, C., U. Borup, and F. Blaabjerg. 2005. “A combined two-method MPPT control scheme for grid-connected photovoltaic systems,” in Proc. Eur. Conf. Power Electron. Appl., Sep. 11–14, 2005, Dresden, Germany, pp. 1–10.
   Google Scholar
• Durgadevil, A., et al., “Study and implementation of maximum power point tracking (MPPT) algorithm for photovoltaic systems”, IEEE Transactions on Industrial Electronics, VOL. 15, NO. 6, April 2011. N. Kasa, T. Iida, and L. Chen, “Flyback inverter controlled by sensorless current MPPT for photovoltaic power system,” IEEE Trans. Ind. Electron., vol. 52, no. 4, pp. 1145–1152, Aug. 2005.
   Google Scholar
• Eltamaly, A. M., et al. 2021. A novel musical chairs algorithm applied for MPPT of PV systems. Renewable and Sustainable Energy Reviews 146:111135. doi:10.1016/j.rser.2021.111135.
   Web of Science ®Google Scholar
• Eltamaly, A. M., H. M. H. Farh, and A. G. Abokhalil. 2020. A novel PSO strategy for improving dynamic change partial shading photovoltaic maximum power point tracker, energy sources, part A: recovery. Utilization, and Environmental Effects 1–15. doi:10.1080/15567036.2020.1769774.
   Google Scholar
• Esram, T., J. W. Kimball, P. T. Krein, P. L. Chapman, and P. Midya. September 2006. Dynamic maximum power point tracking of photovoltaic arrays using ripple correlation control. IEEE Trans. Power Electron 21(5):1282–91. doi: 10.1109/TPEL.2006.880242.
   Web of Science ®Google Scholar
• Fernia, N., G. Petrone, G. Spagnuolo, Vitelli, and M. Vitelli. July 2005. Optimization of perturb and observe maximum power point tracking method. IEEE Trans. Power Electron 20(4):963–73. doi: 10.1109/TPEL.2005.850975.
   Web of Science ®Google Scholar
• Ike, S., and K. Kurokawa, “Photogrammetric estimation of shading impacts on photovoltaic systems,” 31st Photovoltaic Specialists Conference, IEEE, Dresden, London, 3-7 January. 2005:1796–99.
   Google Scholar
• International Energy Agency, Trends in photovoltaic applications - survey report of selected by countries between 1992 and 2005, Technical Report IEA PVPS T115, 2006.
   Google Scholar
• Kar, A., et al. February 2009. A new maximum power point tracking algorithm for PV modules under partial shading and rapidly varying illumination. IEEE Transactions on Energy Conversion 12(6),1–4.
   Google Scholar
• Kjaer, S. B., J. K. Pedersen, and F. Blaabjerg. September October 2005. A review of single-phase grid-connected inverters for photovoltaic modules. IEEE Trans. Ind. Appl 41(5):1292–306. doi: 10.1109/TIA.2005.853371.
   Web of Science ®Google Scholar
• Kobayashi, K., et al. September 2005. A study of a two-stage maximum power point tracking control of a photovoltaic system under partially shaded conditions. Solar Energy Materials & Solar Cells 06(5),2975–2988 .
   Google Scholar
• Kobayashi, K., I. Takano, and Y. Sawada. November 2006. A study of a two-stage maximumpowerpointtrackingcontrolofaphotovoltaicsystemunderpartially shaded insolation conditions. Sol. Energy Mater. Sol. Cells 90(18/19):2975–88. doi: 10.1016/j.solmat.2006.06.050.
   Web of Science ®Google Scholar
• Kulkarni, A, and D Stroobandt. 2016. “How to efficiently reconfigure tunable lookup tables for dynamic circuit specialization” Hindawi Publishing Corporation International Journal of Reconfigurable Computing Volume, Article ID 5340318, in March. 1–12 doi:10.1155/2016/5340318
   Google Scholar
• Lijun, G., et al. May 2009. parallel-connected solar PV system to address partial and rapidly fluctuating shadow conditions. IEEE Transactions on Industrial Electronics 56, pp. 1548-1556.
   Web of Science ®Google Scholar
• Lodhi, E., F.-Y. Wang, G. Xiong, G. A. Mallah, M. Y. Javed, T. S. Tamir, D. W. Gao, et al. 2021. A dragonfly optimization algorithm for extracting maximum power of grid-interfaced PV systems. Sustainability 13 (19):10778. doi:10.3390/su131910778.
   Web of Science ®Google Scholar
• Mao, M., et al. 2020. Classification and summarization of solar photovoltaic MPPT techniques: A review based on traditional and intelligent control strategies, energy reports. Sustainability 13 (1312):1327. doi:10.1016/j.egyr.2020.05.013.
   Google Scholar
• Meyer, E. L., and E. Ernest van Dyk, “The effect of reduced shunt resistance and shading on photo voltaic module performance”, Proc. of the 31st IEEE Photovoltaic Specialists Conference, Dresden, Denmark, 2005, pp. 13311334.
   Google Scholar
• Mishina, T., et al. December 2002. A study of the automatic analysis for the I-V curves of photovoltaic subarray. IEEE Transactions on Energy Conversion 2(4),pp. 1630-1633.
   Google Scholar
• Nagayoshi, H, and M Atesh, “Partial shading effect emulation using multi small scale module simulator units,” 31stIEEE Photovoltaic Specialists Conference, Busan, Korea, 2005, pp. 1710–13.
   Google Scholar
• Noguchi, T., S. Togashi, R. Nakamoto, et al. February 2002. Short-current pulse-based maximum-power-point tracking method for multiple photovoltaic-and-converter module system. IEEE Transactions on Industrial Electronics 49 (1):217–23. doi:10.1109/41.982265.
   Web of Science ®Google Scholar
• Patel, H., V. Agarwal, et al. February 2008a. MATLAB-based modeling to study the effects of partial shading on PV array characteristics. IEEE Transactions on Energy Conversion 23 (1):302–10. doi:10.1109/TEC.2007.914308.
   Web of Science ®Google Scholar
• Patel, H., V. Agarwal, et al. April 2008b. Maximum power point tracking scheme for pv systems operating under partially shaded conditions. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS 55 (4):1689–98. doi:10.1109/TIE.2008.917118.
   Web of Science ®Google Scholar
• Roman, E., R. Alonso, P. Ibanez, S. Elorduizapatarietxe, and D. Goitia. January 2006. Intelligent PV module for grid-connected PV systems. IEEE Trans. Ind. Electron 53(4):1066–73. doi: 10.1109/TIE.2006.878327.
   Web of Science ®Google Scholar
• Salas, V., E. Olias, A. Barrado, and A. Lazaro. July 2006. Review of the maximum power point tracking algorithms for stand-alone photovoltaic systems. Sol. Energy Mater. Sol. Cells 90(11):1555–78. doi: 10.1016/j.solmat.2005.10.023.
   Web of Science ®Google Scholar
• Salas, V., E. Olıas, A. Lazaro, and A. Barrado. May 2005. Evaluation of a new maximum power point tracker (MPPT) applied to the photovoltaic standalone systems. Sol. Energy Mater. Sol. Cells 87(1–4):807–15. doi: 10.1016/j.solmat.2004.07.053.
   Web of Science ®Google Scholar
• Sansoni, P., D. Fontani Franco Francini, D. Jafrancesco, G. Pierucci, and M. De Lucia. 2015. Technique for Outdoor Test on Concentrating Photovoltaic Cells. Hindawi Publishing Corporation International Journal of Photo Energy, pp.1-9. Article ID 308541in October 2015.
   Google Scholar
• Sera, D., T. Kerekes, R. Teodorescu, and F. Blaabjerg, “Improved MPPT method for rapidly changing environmental conditions,” in Proc. IEEE Int. Ind. Electron. Symp, Montreal, QC, Canada, July. 2006, vol. 2, pp. 1420–25.
   Google Scholar
• Shams El-Dein, M. Z., et al. MAY 2011. Novel configurations for photovoltaic farms to reduce partial shading losses. IEEE Transactions on Industrial Electronics 5(4), pp.145-153.
   Google Scholar
• Silvestre, S., et al. February 2007. Shading effects in characteristic parameters of PV modules. IEEE Transactions on Energy Conversion 10(2), pp. 116-118.
   Google Scholar
• vanderBorg, N. J. C. M., et al., “Energy Loss due to Shading in a BIPY Application”, 3rd World Conference on photovoltaic Energy Conversion, Osaka, Japan, May 2002.
   Google Scholar
• Vasim Babul, M., and A. V. 2015, August. Ramprasad “novel strategy to improve the performance of localization in WSN. Hindawi Publishing Corporation E Scientific World Journal Volume, 2015. Article ID 149767.
   Google Scholar
• Velasco-Quesada, G., F. Guinjoan-Gispert, R. Pique-Lopez, M. Roman-Lumbreras, A. Conesa-Roca, et al. November 2009. Electrical PV Array Reconfiguration Strategy for Energy Extraction Improvement in Grid-Connected PV System. IEEE Transactions on Industrial Electronics 56 (11):4319–31. doi:10.1109/TIE.2009.2024664.
   Web of Science ®Google Scholar
• Wang, Y. J., et al. June 2020. Analytical modeling of partial shading and different orientation of photovoltaic module. IET Renewable Power Generation 4(3),pp.272-282.
   Web of Science ®Google Scholar
• Wang, Y.-J., and P. C. Hsu. 2009. Analytical modeling of partial shading and different orientation of photovoltaic modules. IET Renewable Power Generation 4(3), p. 272 – 282. 1752-1416iet-rpg.
   Web of Science ®Google Scholar
• Wang, Y.-J., and R.-L. Sheu. 2015. Probabilistic modeling of partial shading of photovoltaic arrays. Hindawi Publishing Corporation International Journal of Photo Energy Volume Article ID 863637, in November 2015.
   Google Scholar
• Wei, H., F. Liu, and JieJi. 2015, November. Shengyao zhang and hongbing chen “safety analysis of solar module under partial shading.” Hindawi Publishing Corporation International Journal of Photoenergy Volume, 2015. Article ID 907282.
   Google Scholar
• Yaw Appiah, A., and X. Zhang. 2019, February. Ben beklisi kwame ayawli, and frimpongkyeremeh “review and performance evaluation of photovoltaic array fault detection and diagnosis techniques.” Hindawi International Journal of Photoenergy Volume 2019, Article ID 6953530.
   Google Scholar
• Young-Hyok, J., et al. April 2009. A new maximum power point tracking algorithm for PV modules under partial shading and rapidly varying illumination. IEEE Transactions on Energy Conversion 6(5), pp. 1-4.
   Google Scholar