Maximum power extraction of partially shaded solar photovoltaic array using reconfiguration method

References

• Winston DP, Karthikeyan G, Pravin M, et al. Parallel power extraction technique for maximizing the output of solar PV array. Solar Energy. 2021;213:102–117. doi: 10.1016/j.solener.2020.10.088
   Web of Science ®Google Scholar
• Winston DP, Kumaravel S, Kumar BP, et al. Performance improvement of solar PV array topologies during various partial shading conditions. Solar Energy. 2020;196:228–242. doi: 10.1016/j.solener.2019.12.007
   Web of Science ®Google Scholar
• Yousri D, Babu TS, Allam D, et al. Fractional chaos maps with flower pollination algorithm for partial shading mitigation of photovoltaic systems. Energies. 2019;12(18):3548. doi: 10.3390/en12183548
   Web of Science ®Google Scholar
• Winston DP. Efficient output power enhancement and protection technique for hot spotted solar photovoltaic modules. IEEE Trans Device Mater Reliab. 2019;19(4):664–670. doi: 10.1109/TDMR.2019.2945194
   Web of Science ®Google Scholar
• Obukhov S, Ibrahim A, Diab AA, et al. Optimal performance of dynamic particle swarm optimization based maximum power trackers for stand-alone PV system under partial shading conditions. IEEE Access. 2020;8:20770–20785. doi: 10.1109/ACCESS.2020.2966430
   Web of Science ®Google Scholar
• Ali A, Almutairi K, Padmanaban S, et al. Investigation of MPPT techniques under uniform and non-uniform solar irradiation condition–a retrospection. IEEE Access. 2020;8:127368–127392. doi: 10.1109/ACCESS.2020.3007710
   Web of Science ®Google Scholar
• Jamaludin MN, Tajuddin MF, Ahmed J, et al. An effective salp swarm based MPPT for photovoltaic systems under dynamic and partial shading conditions. IEEE Access. 2021;9:34570–34589. doi: 10.1109/ACCESS.2021.3060431
   Web of Science ®Google Scholar
• Yadav AS, Pachauri RK, Chauhan YK. Comprehensive investigation of PV arrays with puzzle shade dispersion for improved performance. Solar Energy. 2016;129:256–285. doi: 10.1016/j.solener.2016.01.056
   Web of Science ®Google Scholar
• Yousri D, Babu TS, Mirjalili S, et al. A novel objective function with artificial ecosystem-based optimization for relieving the mismatching power loss of large-scale photovoltaic array. Energy Convers Manag. 2020;225:113385. doi: 10.1016/j.enconman.2020.113385
   Web of Science ®Google Scholar
• Belhachat F, Larbes C. Modeling, analysis and comparison of solar photovoltaic array configurations under partial shading conditions. Solar Energy. 2015;120:399–418. doi: 10.1016/j.solener.2015.07.039
   Web of Science ®Google Scholar
• Ramaprabha R, Mathur BL. A comprehensive review and analysis of solar photovoltaic array configurations under partial shaded conditions. Inter J Photoenergy. 2012;2012:1–16. doi: 10.1155/2012/120214
   Web of Science ®Google Scholar
• Ajmal AM, Babu TS, Ramachandaramurthy VK, et al. Static and dynamic reconfiguration approaches for mitigation of partial shading influence in photovoltaic arrays. Sustain Energy Technol Assess. 2020;40:100738. doi: 10.1016/j.seta.2020.100738
   Web of Science ®Google Scholar
• Prince Winston D, Ganesan K, Samithas D, et al. Experimental investigation on output power enhancement of partial shaded solar photovoltaic system. Energy Sources Part A. 2020:1–7. doi: 10.1080/15567036.2020.1779872
   Google Scholar
• Babu TS, Yousri D, Balasubramanian K. Photovoltaic array reconfiguration system for maximizing the harvested power using population-based algorithms. IEEE Access. 2020;8:109608–109624. doi: 10.1109/ACCESS.2020.3000988
   Web of Science ®Google Scholar
• Velasco-Quesada G, Guinjoan-Gispert F, Piqué-López R, et al. Electrical PV array reconfiguration strategy for energy extraction improvement in grid-connected PV systems. IEEE Trans Ind Electron. 2009;56(11):4319–4331. doi: 10.1109/TIE.2009.2024664
   Web of Science ®Google Scholar
• Sanseverino ER, Ngoc TN, Cardinale M, et al. Dynamic programming and munkres algorithm for optimal photovoltaic arrays reconfiguration. Solar Energy. 2015;122:347–358. doi: 10.1016/j.solener.2015.09.016
   Web of Science ®Google Scholar
• Karaköse M, Murat K, Akın E, et al. A new efficient reconfiguration approach based on genetic algorithm in PV systems. In: 2014 IEEE 23rd International Symposium on Industrial Electronics (ISIE), Istanbul, Turkey. IEEE; 2014. p. 23–28.
   Google Scholar
• Bhadoria VS, Pachauri RK, Tiwari S, et al. Investigation of different BPD placement topologies for shaded modules in a series-parallel configured PV array. IEEE Access. 2020;8:216911–216921. doi: 10.1109/ACCESS.2020.3041715
   Web of Science ®Google Scholar
• Rani BI, Ilango GS, Nagamani C. Enhanced power generation from PV array under partial shading conditions by shade dispersion using Su Do Ku configuration. IEEE Trans Sustain Energy. 2013;4(3):594–601. doi: 10.1109/TSTE.2012.2230033
   Web of Science ®Google Scholar
• Horoufiany M, Ghandehari R. Optimization of the sudoku based reconfiguration technique for PV arrays power enhancement under mutual shading conditions. Solar Energy. 2018;159:1037–1046. doi: 10.1016/j.solener.2017.05.059
   Web of Science ®Google Scholar
• Murugesan P, David PW, Elavarasan RM, et al. A jigsaw puzzle-based reconfiguration technique for enhancing maximum power in partially shaded hybrid photovoltaic array—implementation. In: Green energy systems. Academic Press; 2023. pp. 223–243.
   Google Scholar
• Farh HM, Eltamaly AM. Maximum power extraction from the photovoltaic system under partial shading conditions. Modern Maximum Power Point Tracking Techniques For Photovoltaic Energy Systems. 2020:107–129.
   Google Scholar
• Premkumar M, Sowmya R. An effective maximum power point tracker for partially shaded solar photovoltaic systems. Energy Rep. 2019;5:1445–1462. doi: 10.1016/j.egyr.2019.10.006
   Web of Science ®Google Scholar
• Saiprakash C, Mohapatra A, Nayak B, et al. Analysis of partial shading effect on energy output of different solar PV array configurations. Mater Today Proc. 2021;39:1905–1909. doi: 10.1016/j.matpr.2020.08.307
   Google Scholar
• Hashemzadeh SM. A new model-based technique for fast and accurate tracking of global maximum power point in photovoltaic arrays under partial shading conditions. Renewable Energy. 2019;139:1061–1076. doi: 10.1016/j.renene.2019.03.019
   Web of Science ®Google Scholar
• Zhang X, Li S, He T, et al. Memetic reinforcement learning based maximum power point tracking design for PV systems under partial shading condition. Energy. 2019;174:1079–1090. doi: 10.1016/j.energy.2019.03.053
   Web of Science ®Google Scholar
• Moger T. A novel fixed interconnection topology for photovoltaic array to gain maximum energy yields. In: 2020 International Conference on Electrical and Electronics Engineering (ICE3), Gorakhpur, India. IEEE; 2020. p. 264–269.
   Google Scholar
• Arunkumari T, Indragandhi V. An overview of high voltage conversion ratio DC-DC converter configurations used in DC micro-grid architectures. Renew Sust Energ Rev. 2017;77:670–687. doi: 10.1016/j.rser.2017.04.036
   Web of Science ®Google Scholar
• Senapati MK, Pradhan C, Samantaray SR, et al. Improved power management control strategy for renewable energy‐based DC micro‐grid with energy storage integration. IET Gener Transm Distrib. 2019;13(6):838–849. doi: 10.1049/iet-gtd.2018.5019
   Web of Science ®Google Scholar
• Senapati MK, Pradhan C, Calay RK. A computational intelligence based maximum power point tracking for photovoltaic power generation system with small‐signal analysis. Optim Control Appl Methods. 2023;44(2):617–636. doi: 10.1002/oca.2798
   Web of Science ®Google Scholar
• Pradhan C, Senapati MK, Malla SG, et al. Coordinated power management and control of standalone PV-hybrid system with modified IWO-based MPPT. IEEE Syst J. 2020;15(3):3585–3596. doi: 10.1109/JSYST.2020.3020275
   Web of Science ®Google Scholar
• Senapati MK, Pradhan C, Nayak PK, et al. Lagrange interpolating polynomial–based deloading control scheme for variable speed wind turbines. Int Trans Electr Energy Syst. 2019;29(5):e2824. doi: 10.1002/2050-7038.2824
   Web of Science ®Google Scholar
• Pradhan C, Senapati MK, Ntiakoh NK, et al. Roach infestation optimization MPPT algorithm for solar photovoltaic system. Electronics. 2022;11(6):927. doi: 10.3390/electronics11060927
   Web of Science ®Google Scholar
• Ganesan S, David PW, Balachandran PK, et al. Fault identification scheme for solar photovoltaic array in bridge and honeycomb configuration. Electr Eng. 2023;105(4):2443–2460. doi: 10.1007/s00202-023-01816-4
   Web of Science ®Google Scholar
• Aljafari B, Devakirubakaran S, Bharatiraja C, et al. Power enhanced solar PV array configuration based on Calcudoku puzzle pattern for partial shaded PV system. Heliyon. 2023;9(5):e16041. doi: 10.1016/j.heliyon.2023.e16041
   PubMed Web of Science ®Google Scholar
• Balasubramanian C, Singh RL. IOT based energy management in smart grid under price based demand response based on hybrid FHO-RERNN approach. Appl Energy. 2024;361:122851. doi: 10.1016/j.apenergy.2024.122851
   Web of Science ®Google Scholar
• Kumar BP, Cherukuri SK, Kaniganti KR, et al. Performance enhancement of partial shaded photovoltaic system with the novel screw pattern array configuration scheme. IEEE Access. 2021;10:1731–1744. doi: 10.1109/ACCESS.2021.3138917
   Web of Science ®Google Scholar
• Saharia BJ, Saharia KK. Simulated study on nonisolated DC-DC converters for MPP tracking for photovoltaic power systems. J Energy Engg. 2016;142(1):04015001. doi: 10.1061/(ASCE)EY.1943-7897.0000261
   Web of Science ®Google Scholar
• Eltamaly AM, Farh HM, Abokhalil AG. A novel PSO strategy for improving dynamic change partial shading photovoltaic maximum power point tracker. Energy Sources Part A. 2020:1–5. doi: 10.1080/15567036.2020.1769774
   Google Scholar
• Vankadara SK, Chatterjee S, Balachandran PK. An accurate analytical modeling of solar photovoltaic system considering R s and R sh under partial shaded condition. Int J Syst Assur Eng Manag. 2022;13(5):2472–2481. doi: 10.1007/s13198-022-01658-6
   Web of Science ®Google Scholar
• Vankadara SK, Chatterjee S, Balachandran PK, et al. Marine predator algorithm (MPA)-based MPPT technique for solar PV systems under partial shading conditions. Energies. 2022;15(17):6172. doi: 10.3390/en15176172
   Web of Science ®Google Scholar
• Aljafari B, Balachandran PK, Samithas D, et al. Solar photovoltaic converter controller using opposition-based reinforcement learning with butterfly optimization algorithm under partial shading conditions. Environ Sci Pollut Res. 2023;30(28):72617–72640. doi: 10.1007/s11356-023-27261-1
   PubMed Web of Science ®Google Scholar
• Palpandian M, Winston DP, Kumar BP, et al. A new ken-ken puzzle pattern based reconfiguration technique for maximum power extraction in partial shaded solar PV array. IEEE Access. 2021;9:65824–65837. doi: 10.1109/ACCESS.2021.3076608
   Web of Science ®Google Scholar
• Akbari MA, Zare M, Azizipanah-Abarghooee R, et al. The cheetah optimizer: a nature-inspired metaheuristic algorithm for large-scale optimization problems. Sci Rep. 2022;12(1):10953. doi: 10.1038/s41598-022-14338-z
   PubMed Web of Science ®Google Scholar