ENHANCING THE PERFORMANCE OF SOLAR PANEL DURING PARTIAL SHEDDING CONDITION
DOI:
https://doi.org/10.36676/dira.v13.i2.166Keywords:
Partial Shading, Photovoltaic (PV) Systems, Dynamic Reconfiguration, Silicon Carbide Switching Matrices, Computer Vision, Shadow Detection, LSTM (Long Short-Term Memory) NetworksAbstract
Partial shading in photovoltaic (PV) systems poses a significant challenge to energy harvest efficiency, often causing disproportionate power losses that far exceed the physical area under shade. This paper presents a novel approach to mitigate these effects through an intelligent dynamically reconfigurable PV array system. The proposed solution integrates advanced hardware architecture using silicon carbide switching matrices with a multi-layered control system that combines computer vision for shadow detection, long short-term memory (LSTM) networks for shadow movement prediction, and hybrid particle swarm optimization with artificial neural network (PSO-ANN) algorithms for maximum power point tracking. Experimental results from a 3 kW test system demonstrate that the reconfigurable array achieves a 20.9% increase in annual energy yield compared to conventional string inverter systems and a 5.1% improvement over module-level power electronics solutions. The performance advantage is most pronounced during challenging operating conditions such as winter months, early morning/late afternoon periods, and partially cloudy days. Economic analysis reveals that despite higher initial costs, the reconfigurable array system achieves the lowest levelized cost of electricity ($0.085/kWh) with an acceptable payback period of 8.86 years. Thanks to built-in machine learning tools, solar power systems are now performing impressively well even outside the lab—in actual outdoor environments—without much drop in efficiency. This study shows that using smart, predictive reconfiguration methods makes solar setups more adaptable to problems like partial shading. What does that mean? We can now install solar panels in places that were once considered less ideal, and still get great results. It also means better returns on investment for existing solar installations, making solar energy more practical and profitable than ever.
References
International Energy Agency (IEA), "Renewables 2023: Analysis and Forecast to 2028," IEA Publications, Paris, 2023.
International Renewable Energy Agency (IRENA), "Renewable Capacity Statistics 2023," IRENA, Abu Dhabi, 2023.
K. Sundareswaran, S. Peddapati, and S. Palani, "MPPT of PV systems under partial shaded conditions through a colony of flashing fireflies," IEEE Trans. Energy Convers., vol. 29, no. 2, pp. 463-472, 2014.
Y. Hu, W. Cao, J. Ma, S. J. Finney, and D. Li, "Identifying PV module mismatch faults by a thermography-based temperature distribution analysis," IEEE Trans. Device Mater. Rel., vol. 14, no. 4, pp. 951-960, 2014.
S. Silvestre, A. Boronat, and A. Chouder, "Study of bypass diodes configuration on PV modules," Appl. Energy, vol. 86, no. 9, pp. 1632-1640, 2009.
P. Guerriero, F. Di Napoli, G. Vallone, V. d'Alessandro, and S. Daliento, "Monitoring and diagnostics of PV plants by a wireless self-powered sensor for individual panels," IEEE J. Photovolt., vol. 6, no. 1, pp. 286-294, 2016.
C. Deline, A. Dobos, S. Janzou, J. Meydbray, and M. Donovan, "A simplified model of uniform shading in large photovoltaic arrays," Sol. Energy, vol. 96, pp. 274-282, 2013.
M. Seyedmahmoudian, B. Horan, T. K. Soon, R. Rahmani, A. M. T. Oo, S. Mekhilef, and A. Stojcevski, "State of the art artificial intelligence-based MPPT techniques for mitigating partial shading effects on PV systems—A review," Renew. Sustain. Energy Rev., vol. 64, pp. 435-455, 2016.
B. Subudhi and R. Pradhan, "A comparative study on maximum power point tracking techniques for photovoltaic power systems," IEEE Trans. Sustain. Energy, vol. 4, no. 1, pp. 89-98, 2013.
S. Daliento, F. Di Napoli, P. Guerriero, and V. d'Alessandro, "A modified bypass circuit for improved hot spot reliability of solar panels subject to partial shading," Sol. Energy, vol. 134, pp. 211-218, 2016.
J. Oh, G. TamizhMani, S. Bowden, and S. Garner, "Hotspot reliability testing of crystalline silicon modules," IEEE 7th World Conf. Photovolt. Energy Convers., pp. 667-670, 2018.
D. C. Jordan, S. R. Kurtz, K. VanSant, and J. Newmiller, "Compendium of photovoltaic degradation rates," Prog. Photovolt. Res. Appl., vol. 24, no. 7, pp. 978-989, 2016.
H. S. Sahu, S. K. Nayak, and S. Mishra, "Maximizing the power generation of a partially shaded PV array," IEEE J. Emerg. Sel. Top. Power Electron., vol. 4, no. 2, pp. 626-637, 2016.
G. R. Walker, J. Xue, and P. Sernia, "PV string per-module maximum power point enabling converters," Australas. Univ. Power Eng. Conf., pp. 1-5, 2003.
Y. Wang, X. Lin, Y. Kim, N. Chang, and M. Pedram, "Architecture and control algorithms for combating partial shading in photovoltaic systems," IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., vol. 33, no. 6, pp. 917-930, 2014.
P. Manganiello, M. Balato, and M. Vitelli, "A survey on mismatching and aging of PV modules: The closed loop," IEEE Trans. Ind. Electron., vol. 62, no. 11, pp. 7276-7286, 2015.
H. Patel and V. Agarwal, "Maximum power point tracking scheme for PV systems operating under partially shaded conditions," IEEE Trans. Ind. Electron., vol. 55, no. 4, pp. 1689-1698, 2008.
J. Ahmed and Z. Salam, "A Modified P&O Maximum Power Point Tracking Method With Reduced Steady-State Oscillation and Improved Tracking Efficiency," IEEE Trans. Sustain. Energy, vol. 7, no. 4, pp. 1506-1515, 2016.
A. Ndiaye, A. Kébé, P. A. Ndiaye, A. Charki, A. Kobi, and V. Sambou, "Impact of dust on the photovoltaic (PV) modules characteristics after an exposition year in Sahelian environment: The case of Senegal," Int. J. Phys. Sci., vol. 8, no. 21, pp. 1166-1173, 2013.
S. M. MacAlpine, R. W. Erickson, and M. J. Brandemuehl, "Characterization of power optimizer potential to increase energy capture in photovoltaic systems operating under nonuniform conditions," IEEE Trans. Power Electron., vol. 28, no. 6, pp. 2936-2945, 2013.
N. Femia, G. Petrone, G. Spagnuolo, and M. Vitelli, "Optimization of perturb and observe maximum power point tracking method," IEEE Trans. Power Electron., vol. 20, no. 4, pp. 963-973, 2005.
International Electrotechnical Commission, "IEC 61215: Terrestrial photovoltaic (PV) modules - Design qualification and type approval," IEC, Geneva, Switzerland, 2021.
Trina Solar, "Vertex S+ 430W TSM-DE09.08 Datasheet," Trina Solar Co., Ltd., Changzhou, China, 2022.
C. P. Cameron, J. S. Stein, and C. A. Tasca, "PV performance modeling methods and practices: Results from the 4th PV performance modeling collaborative workshop," IEA PVPS Task 13, Rep. IEA-PVPS T13-06, 2017.
M. Chegaar, A. Mialhe, A. Hamakawa, and A. Guechi, "Experimental study of illuminated current-voltage and power-voltage characteristics of solar cells," J. Elect. Eng., vol. 57, no. 46, pp. 284-290, 2018.
Kipp & Zonen, "CMP10 Pyranometer Instruction Manual," Kipp & Zonen B.V., Delft, Netherlands, 2021.
Omega Engineering, "Surface Mount Thermocouple Technical Reference," Omega Engineering, Inc., Norwalk, CT, USA, 2020.
National Instruments, "PXIe-1078 User Manual and Specifications," National Instruments Corporation, Austin, TX, USA, 2021.
H. Rezk and A. M. Eltamaly, "A comprehensive comparison of different MPPT techniques for photovoltaic systems," Sol. Energy, vol. 112, pp. 1-11, 2015.
R. Ramaprabha and B. L. Mathur, "A comprehensive review and analysis of solar photovoltaic array configurations under partial shaded conditions," Int. J. Photoenergy, vol. 2012, Article ID 120214, 2012.
J. Bai, Y. Cao, Y. Hao, Z. Zhang, S. Liu, and F. Cao, "Characteristic output of PV systems under partial shading or mismatch conditions," Sol. Energy, vol. 112, pp. 41-54, 2015.
S. Moballegh and J. Jiang, "Modeling, prediction, and experimental validations of power peaks of PV arrays under partial shading conditions," IEEE Trans. Sustain. Energy, vol. 5, no. 1, pp. 293-300, 2014.
L. L. Jiang, D. L. Maskell, and J. C. Patra, "A novel ant colony optimization-based maximum power point tracking for photovoltaic systems under partially shaded conditions," Energy Build., vol. 58, pp. 227-236, 2013.
Y. H. Ji, D. Y. Jung, J. G. Kim, J. H. Kim, T. W. Lee, and C. Y. Won, "A real maximum power point tracking method for mismatching compensation in PV array under partially shaded conditions," IEEE Trans. Power Electron., vol. 26, no. 4, pp. 1001-1009, 2011.
T. L. Nguyen and K. S. Low, "A global maximum power point tracking scheme employing DIRECT search algorithm for photovoltaic systems," IEEE Trans. Ind. Electron., vol. 57, no. 10, pp. 3456-3467, 2010.
International Electrotechnical Commission, "IEC 61724-1: Photovoltaic system performance - Part 1: Monitoring," IEC, Geneva, Switzerland, 2021.
M. Meinhardt and G. Cramer, "Past, present and future of grid connected photovoltaic- and hybrid-power-systems," IEEE Power Eng. Soc. Summer Meet., vol. 2, pp. 1283-1288, 2000.
SMA Solar Technology AG, "Sunny Tripower 5000TL-US Technical Data," SMA Solar Technology AG, Niestetal, Germany, 2022.
SolarEdge Technologies Inc., "P400 Power Optimizer Datasheet," SolarEdge Technologies Inc., Herzliya, Israel, 2022.
G. R. Walker and P. C. Sernia, "Cascaded DC-DC converter connection of photovoltaic modules," IEEE Trans. Power Electron., vol. 19, no. 4, pp. 1130-1139, 2004.
Wolfspeed, "C3M0021120K Silicon Carbide Power MOSFET Datasheet," Wolfspeed Inc., Durham, NC, USA, 2022.
L. F. L. Villa, T. P. Ho, J. C. Crebier, and B. Raison, "A power electronics equalizer application for partially shaded photovoltaic modules," IEEE Trans. Ind. Electron., vol. 60, no. 3, pp. 1179-1190, 2013.
PCM Products, "PlusICE Phase Change Materials Technical Datasheet," PCM Products Ltd., Yaxley, UK, 2021.
Texas Instruments, "INA226 Bidirectional Current and Power Monitor Datasheet," Texas Instruments Inc., Dallas, TX, USA, 2021.
Y. Zhao, L. Yang, B. Lehman, J. F. de Palma, J. Mosesian, and R. Lyons, "Decision tree-based fault detection and classification in solar photovoltaic arrays," IEEE 27th Annu. Appl. Power Electron. Conf. Expo., pp. 93-99, 2012.
OmniVision, "OV0330 VGA CameraCubeChip Datasheet," OmniVision Technologies Inc., Santa Clara, CA, USA, 2021.
Maxim Integrated, "MAX485 RS-485/RS-422 Transceivers Datasheet," Maxim Integrated Products Inc., San Jose, CA, USA, 2019.
Y. Du, D. D. Lu, G. James, and D. J. Cornforth, "Modeling and analysis of current harmonic distortion from grid connected PV inverters under different operating conditions," Sol. Energy, vol. 94, pp. 182-194, 2013.
R. C. Gonzalez and R. E. Woods, Digital Image Processing, 4th ed. New York, NY, USA: Pearson, 2018.
N. Otsu, "A threshold selection method from gray-level histograms," IEEE Trans. Syst. Man Cybern., vol. 9, no. 1, pp. 62-66, 1979.
J. Canny, "A computational approach to edge detection," IEEE Trans. Pattern Anal. Mach. Intell., vol. PAMI-8, no. 6, pp. 679-698, 1986.
R. Hartley and A. Zisserman, Multiple View Geometry in Computer Vision, 2nd ed. Cambridge, UK: Cambridge Univ. Press, 2004.
P. Viola and M. Jones, "Rapid object detection using a boosted cascade of simple features," Proc. IEEE Comput. Soc. Conf. Comput. Vis. Pattern Recognit., vol. 1, pp. I-511-I-518, 2001.
J. Kennedy and R. Eberhart, "Particle swarm optimization," Proc. IEEE Int. Conf. Neural Netw., vol. 4, pp. 1942-1948, 1995.
M. E. Ropp and S. Gonzalez, "Development of a MATLAB/Simulink model of a single-phase grid-connected photovoltaic system," IEEE Trans. Energy Convers., vol. 24, no. 1, pp. 195-202, 2009.
V. Mnih et al., "Human-level control through deep reinforcement learning," Nature, vol. 518, no. 7540, pp. 529-533, 2015.
T. P. Lillicrap et al., "Continuous control with deep reinforcement learning," Int. Conf. Learn. Represent., pp. 1-14, 2016.
S. Hochreiter and J. Schmidhuber, "Long short-term memory," Neural Comput., vol. 9, no. 8, pp. 1735-1780, 1997.
R. Ahmed, V. Sreeram, Y. Mishra, and M. D. Arif, "A review and evaluation of the state-of-the-art in PV solar power forecasting: Techniques and optimization," Renew. Sustain. Energy Rev., vol. 124, p. 109792, 2020.
M. A. Masoum, H. Dehbonei, and E. F. Fuchs, "Theoretical and experimental analyses of photovoltaic systems with voltage- and current-based maximum power-point tracking," IEEE Trans. Energy Convers., vol. 17, no. 4, pp. 514-522, 2002.
K. Ishaque and Z. Salam, "A deterministic particle swarm optimization maximum power point tracker for photovoltaic system under partial shading condition," IEEE Trans. Ind. Electron., vol. 60, no. 8, pp. 3195-3206, 2013.
J. Foutz, S. Wasyluk, and M. Johnson, "A comparison of photovoltaic (PV) short-term forecasting," IEEE Innov. Smart Grid Technol. Conf., pp. 1-5, 2018.
ARM Holdings, "Cortex-A72 Processor Technical Reference Manual," ARM Holdings plc, Cambridge, UK, 2020.
K. A. Kim, P. S. Shenoy, and P. T. Krein, "Converter rating analysis for photovoltaic differential power processing systems," IEEE Trans. Power Electron., vol. 30, no. 4, pp. 1987-1997, 2015.
S. Dolara, E. Faranda, and S. Leva, "Energy comparison of seven MPPT techniques for PV systems," J. Electromagn. Anal. Appl., vol. 1, no. 3, pp. 152-162, 2009.
A. Bidram, A. Davoudi, and R. S. Balog, "Control and circuit techniques to mitigate partial shading effects in photovoltaic arrays," IEEE J. Photovolt., vol. 2, no. 4, pp. 532-546, 2012.
National Renewable Energy Laboratory (NREL), "U.S. Solar Photovoltaic System and Energy Storage Cost Benchmark: Q1 2022," NREL, Golden, CO, USA, Tech. Rep. NREL/TP-7A40-83686, 2022.
A. Mermoud and T. Lejeune, "Performance assessment of a simulation model for PV modules of any available technology," Proc. 25th Eur. Photovolt. Sol. Energy Conf., pp. 4786-4791, 2010.
B. Storey, G. R. Walker, and N. Hatziargyriou, "Simulation of PV arrays in grid-connected applications," Australas. Univ. Power Eng. Conf., pp. 1-6, 2015.
P. T. Krein and R. S. Balog, "Cost-effective hundred-year life for single-phase inverters and rectifiers in solar and LED lighting applications based on minimum capacitance requirements and a ripple power port," IEEE Appl. Power Electron. Conf. Expo., pp. 620-625, 2009.
J. P. Ram, T. S. Babu, and N. Rajasekar, "A comprehensive review on solar PV maximum power point tracking techniques," Renew. Sustain. Energy Rev., vol. 67, pp. 826-847, 2017.
G. Petrone, G. Spagnuolo, R. Teodorescu, M. Veerachary, and M. Vitelli, "Reliability issues in photovoltaic power processing systems," IEEE Trans. Ind. Electron., vol. 55, no. 7, pp. 2569-2580, 2008.
S. S. Shapiro and M. B. Wilk, "An analysis of variance test for normality (complete samples)," Biometrika, vol. 52, nos. 3-4, pp. 591-611, 1965.
F. Wilcoxon, "Individual comparisons by ranking methods," Biom. Bull., vol. 1, no. 6, pp. 80-83, 1945.
R. A. Armstrong, "When to use the Bonferroni correction," Ophthalmic Physiol. Opt., vol. 34, no. 5, pp. 502-508, 2014.
D. P. Kroese, T. Brereton, T. Taimre, and Z. I. Botev, "Why the Monte Carlo method is so important today," Wiley Interdiscip. Rev. Comput. Stat., vol. 6, no. 6, pp. 386-392, 2014.
G. W. Corder and D. I. Foreman, Nonparametric Statistics: A Step-by-Step Approach, 2nd ed. Hoboken, NJ, USA: Wiley, 2014.
Y. Mahmoud, W. Xiao, and H. H. Zeineldin, "A parameterization approach for enhancing PV model accuracy," IEEE Trans. Ind. Electron., vol. 60, no. 12, pp. 5708-5716, 2013.
K. A. Kim and P. T. Krein, "Reexamination of photovoltaic hot spotting to show inadequacy of the bypass diode," IEEE J. Photovolt., vol. 5, no. 5, pp. 1435-1441, 2015.
Y. H. Liu, S. C. Huang, J. W. Huang, and W. C. Liang, "A particle swarm optimization-based maximum power point tracking algorithm for PV systems operating under partially shaded conditions," IEEE Trans. Energy Convers., vol. 27, no. 4, pp. 1027-1035, 2012.
C. Manickam, G. P. Raman, G. R. Raman, S. I. Ganesan, and N. Chilakapati, "Fireworks enriched P&O algorithm for GMPPT and detection of partial shading in PV systems," IEEE Trans. Power Electron., vol. 32, no. 6, pp. 4432-4443, 2017.
K. Ishaque, Z. Salam, M. Amjad, and S. Mekhilef, "An improved particle swarm optimization (PSO)-based MPPT for PV with reduced steady-state oscillation," IEEE Trans. Power Electron., vol. 27, no. 8, pp. 3627-3638, 2012.
J. Ahmed and Z. Salam, "An improved perturb and observe (P&O) maximum power point tracking (MPPT) algorithm for higher efficiency," Appl. Energy, vol. 150, pp. 97-108, 2015.
G. K. Singh, "Solar power generation by PV (photovoltaic) technology: A review," Energy, vol. 53, pp. 1-13, 2013.
Y. Zhao, J. de Palma, J. Mosesian, R. Lyons, and B. Lehman, "Line-line fault analysis and protection challenges in solar photovoltaic arrays," IEEE Trans. Ind. Electron., vol. 60, no. 9, pp. 3784-3795, 2013.
C. Deline, B. Marion, J. Granata, and S. Gonzalez, "A performance and economic analysis of distributed power electronics in photovoltaic systems," NREL, Golden, CO, USA, Tech. Rep. NREL/TP-5200-50003, 2011.
K. Simonyan and A. Zisserman, "Very deep convolutional networks for large-scale image recognition," arXiv:1409.1556, 2014.
M. Z. S. El-Dein, M. Kazerani, and M. M. A. Salama, "Optimal photovoltaic array reconfiguration to reduce partial shading losses," IEEE Trans. Sustain. Energy, vol. 4, no. 1, pp. 145-153, 2013.
PVsyst SA, "PVsyst: Software for the Study and Simulation of Photovoltaic Systems," PVsyst SA, Geneva, Switzerland, 2022.
T. J. Silverman, M. G. Deceglie, K. VanSant, S. Johnston, and I. Repins, "Illuminated outdoor module performance monitoring," IEEE J. Photovolt., vol. 10, no. 2, pp. 583-592, 2020.
K. Branker, M. J. M. Pathak, and J. M. Pearce, "A review of solar photovoltaic levelized cost of electricity," Renew. Sustain. Energy Rev., vol. 15, no. 9, pp. 4470-4482, 2011.
J. D. Mondol, Y. G. Yohanis, and B. Norton, "Optimal sizing of array and inverter for grid-connected photovoltaic systems," Sol. Energy, vol. 80, no. 12, pp. 1517-1539, 2006.
D. Feldman, V. Ramasamy, R. Fu, A. Ramdas, J. Desai, and R. Margolis, "U.S. Solar Photovoltaic System and Energy Storage Cost Benchmark: Q1 2020," NREL, Golden, CO, USA, Tech. Rep. NREL/TP-6A20-77324, 2021.
P. Hacke et al., "A status review of photovoltaic power conversion equipment reliability, safety, and quality assurance protocols," Renew. Sustain. Energy Rev., vol. 82, part 1, pp. 1097-1112, 2018.
G. Zini, C. Mangeant, and J. Merten, "Reliability of large-scale grid-connected photovoltaic systems," Renew. Energy, vol. 36, no. 9, pp. 2334-2340, 2011.
A. Golnas, "PV system reliability: An operator's perspective," IEEE J. Photovolt., vol. 3, no. 1, pp. 416-421, 2013.
T. Huld and A. M. G. Amillo, "Estimating PV module performance over large geographical regions: The role of irradiance, air temperature, wind speed and solar spectrum," Energies, vol. 8, no. 6, pp. 5159-5181, 2015.
A. Woyte, J. Nijs, and R. Belmans, "Partial shadowing of photovoltaic arrays with different system configurations: Literature review and field test results," Sol. Energy, vol. 74, no. 3, pp. 217-233, 2003.
S. Guo, T. M. Walsh, and M. Peters, "Vertically mounted bifacial photovoltaic modules: A global analysis," Energy, vol. 61, pp. 447-454, 2013.
A. Krizhevsky, I. Sutskever, and G. E. Hinton, "ImageNet classification with deep convolutional neural networks," Adv. Neural Inf. Process. Syst., vol. 25, pp. 1097-1105, 2012.
F. A. Gers, J. Schmidhuber, and F. Cummins, "Learning to forget: Continual prediction with LSTM," Neural Comput., vol. 12, no. 10, pp. 2451-2471, 2000.
R. S. Sutton and A. G. Barto, Reinforcement Learning: An Introduction, 2nd ed. Cambridge, MA, USA: MIT Press, 2018.
M. Ribeiro, K. Grolinger, H. F. ElYamany, W. A. Higashino, and M. A. M. Capretz, "Transfer learning with seasonal and trend adjustment for cross-building energy forecasting," Energy Build., vol. 165, pp. 352-363, 2018.
R. Ahmed, V. Sreeram, Y. Mishra, and M. D. Arif, "A review and evaluation of the state-of-the-art in PV solar power forecasting: Techniques and optimization," Renew. Sustain. Energy Rev., vol. 124, p. 109792, 2020.
X. Tian, Y. Ma, S. Sui, J. Wang, and W. Qi, "Experimental validation of reconfiguration algorithms for partially shaded photovoltaic systems," Sol. Energy, vol. 208, pp. 234-244, 2020.
G. Velasco-Quesada, F. Guinjoan-Gispert, R. Pique-Lopez, M. Roman-Lumbreras, and A. Conesa-Roca, "Electrical PV array reconfiguration strategy for energy extraction improvement in grid-connected PV systems," IEEE Trans. Ind. Electron., vol. 56, no. 11, pp. 4319-4331, 2009.
C. Deline, S. MacAlpine, B. Marion, F. Toor, A. Asgharzadeh, and J. S. Stein, "Assessment of photovoltaic module-level power electronics," NREL, Golden, CO, USA, Tech. Rep. NREL/TP-5200-67453, 2017.
Y. Hu, W. Cao, J. Wu, B. Ji, and D. Holliday, "Thermography-based virtual MPPT scheme for improving PV energy efficiency under partial shading conditions," IEEE Trans. Power Electron., vol. 29, no. 11, pp. 5667-5672, 2014.
S. M. MacAlpine, R. W. Erickson, and M. J. Brandemuehl, "Characterization of power optimizer potential to increase energy capture in photovoltaic systems operating under nonuniform conditions," IEEE Trans. Power Electron., vol. 28, no. 6, pp. 2936-2945, 2013.
V. Quaschning and R. Hanitsch, "Numerical simulation of current-voltage characteristics of photovoltaic systems with shaded solar cells," Sol. Energy, vol. 56, no. 6, pp. 513-520, 1996.
N. Femia, G. Lisi, G. Petrone, G. Spagnuolo, and M. Vitelli, "Distributed maximum power point tracking of photovoltaic arrays: Novel approach and system analysis," IEEE Trans. Ind. Electron., vol. 55, no. 7, pp. 2610-2621, 2008.
K. Sundareswaran, S. Peddapati, and S. Palani, "Application of random search method for maximum power point tracking in partially shaded photovoltaic systems," IET Renew. Power Gener., vol. 8, no. 6, pp. 670-678, 2014.
S. A. Rizzo and G. Scelba, "ANN based MPPT method for rapidly variable shading conditions," Appl. Energy, vol. 145, pp. 124-132, 2015.
K. H. Chao, P. Y. Chen, M. H. Wang, and C. T. Chen, "An intelligent maximum power point tracking method based on extension neural network for PV systems," Expert Syst. Appl., vol. 42, no. 1, pp. 751-758, 2015.
A. Gupta, P. Kumar, R. K. Pachauri, and Y. K. Chauhan, "Performance analysis of neural network and fuzzy logic based MPPT techniques for solar PV systems," Arch. Electr. Eng., vol. 65, no. 4, pp. 737-751, 2016.
D. Sera, L. Mathe, T. Kerekes, S. V. Spataru, and R. Teodorescu, "On the perturb-and-observe and incremental conductance MPPT methods for PV systems," IEEE J. Photovolt., vol. 3, no. 3, pp. 1070-1078, 2013.
M. Seyedmahmoudian et al., "Simulation and hardware implementation of new maximum power point tracking technique for partially shaded PV system using hybrid DEPSO method," IEEE Trans. Sustain. Energy, vol. 6, no. 3, pp. 850-862, 2015.
B. Kroposki et al., "Achieving a 100% renewable grid: Operating electric power systems with extremely high levels of variable renewable energy," IEEE Power Energy Mag., vol. 15, no. 2, pp. 61-73, 2017.
J. P. Storey, P. R. Wilson, and D. Bagnall, "Improved optimization strategy for irradiance equalization in dynamic photovoltaic arrays," IEEE Trans. Power Electron., vol. 28, no. 6, pp. 2946-2956, 2013.
B. Patnaik, J. D. Sharma, K. Kanungo, and C. P. Nayak, "Experimental validation of a novel reconfiguration algorithm for solar PV arrays subject to uniform and non-uniform irradiance," IET Renew. Power Gener., vol. 13, no. 9, pp. 1602-1612, 2019.
P. L. Carotenuto, P. Manganiello, G. Petrone, and G. Spagnuolo, "Online recording a PV module fingerprint," IEEE J. Photovolt., vol. 4, no. 2, pp. 659-668, 2014.
L. F. L. Villa, D. Picault, B. Raison, S. Bacha, and A. Labonne, "Maximizing the power output of partially shaded photovoltaic plants through optimization of the interconnections among its modules," IEEE J. Photovolt., vol. 2, no. 2, pp. 154-163, 2012.
Y. Wang, Y. Lin, T. Tang, and S. Wang, "Optimization of PV array configurations under dynamic shading conditions," IEEE 43rd Photovolt. Spec. Conf., pp. 2256-2261, 2016.
A. Kouchaki, H. Iman-Eini, and B. Asaei, "A new maximum power point tracking strategy for PV arrays under uniform and non-uniform insolation conditions," Sol. Energy, vol. 91, pp. 221-232, 2013.
P. Romano, R. Candela, M. Cardinale, V. Li Vigni, D. Musso, and E. Riva Sanseverino, "Optimization of photovoltaic energy production through an efficient switching matrix," J. Sustain. Dev. Energy, Water Environ. Syst., vol. 1, no. 3, pp. 227-236, 2013.
M. Z. S. El-Dein, M. Kazerani, and M. M. A. Salama, "An optimal total cross tied interconnection for reducing mismatch losses in photovoltaic arrays," IEEE Trans. Sustain. Energy, vol. 4, no. 1, pp. 99-107, 2013.
S. Pareek and R. Dahiya, "Enhanced power generation of partial shaded photovoltaic fields by forecasting the interconnection of modules," Energy, vol. 95, pp. 561-572, 2016.
J. Camarillo-Peñaranda, D. González-Montoya, and C. Duarte, "Real-time forecast MPPT for PV systems under rapidly changing irradiance events," IEEE 46th Photovolt. Spec. Conf., pp. 1602-1607, 2019.
P. M. Rodrigo, E. F. Fernández, F. M. Almonacid, and P. J. Pérez-Higueras, "A simple accurate model for the calculation of shading power losses in photovoltaic generators," Sol. Energy, vol. 93, pp. 322-333, 2013.
A. Ibrahim and A. Abusorrah, "The impact of cloud edge effect on the PV output power," IEEE Sustainable Energy Technologies Conf., pp. 1-5, 2019.
O. Comstock, "Economic analysis of field-level reconfiguration for crystalline silicon PV arrays," IEEE 44th Photovolt. Spec. Conf., pp. 2349-2354, 2017.
Electricity Advisory Committee, "Consumer Acceptance of New Electricity Technologies," U.S. Department of Energy, Washington DC, USA, 2020.
E. Vartiainen, G. Masson, C. Breyer, D. Moser, and E. Román Medina, "Impact of weighted average cost of capital, capital expenditure, and other parameters on future utility-scale PV levelised cost of electricity," Prog. Photovolt. Res. Appl., vol. 28, no. 6, pp. 439-453, 2020.
D. Feldman, M. Zwerling, and R. Margolis, "Q2/Q3 2022 Solar Industry Update," NREL, Golden, CO, USA, Tech. Rep. NREL/PR-7A40-84149, 2022.
T. Doyle, P. Kokolis, and T. Erion-Lorico, "PV Module Durability Scorecard," PVEL LLC, Berkeley, CA, USA, 2022.
P. Singh, S. Lal, and M. Husain, "Reliability analysis of series-parallel solar photovoltaic system considering the effect of partial shading," J. Building Eng., vol. 33, p. 101613, 2021.
SolarPower Europe, "Operation & Maintenance Best Practice Guidelines Version 5.0," SolarPower Europe, Brussels, Belgium, 2021.
E. Collins, M. Dvorack, J. Mahn, M. Mundt, and M. Quintana, "Reliability and availability analysis of a fielded photovoltaic system," IEEE 34th Photovolt. Spec. Conf., pp. 2316-2321, 2009.
D. Picault, B. Raison, S. Bacha, J. de la Casa, and J. Aguilera, "Forecasting photovoltaic array power production subject to mismatch losses," Sol. Energy, vol. 84, no. 7, pp. 1301-1309, 2010.
International Renewable Energy Agency (IRENA), "End-of-Life Management: Solar Photovoltaic Panels," IRENA, Abu Dhabi, 2016.
X. Nguyen, D. Nguyen, D. Lu, S. Kamalasadan, and M. Farhadi, "Robust Deep Learning-Based Detection and Diagnosis of Faults in Photovoltaic Arrays," IEEE Trans. Power Electronics, vol. 36, no. 10, pp. 11187-11202, 2021.
A. Dolara, F. Grimaccia, S. Leva, M. Mussetta, and E. Ogliari, "A physical hybrid artificial neural network for short term forecasting of PV plant power output," Energies, vol. 8, no. 2, pp. 1138-1153, 2015.
M. Cao, P. V. Chao, L. Yang, F. Wang, and Y. Xu, "Deep reinforcement learning based energy management of hybrid battery-supercapacitor system in a microgrid," IEEE Energy Convers. Congr. Expo., pp. 902-908, 2020.
W. Zhang, W. Wu, X. Ma, F. Yang, and Y. Jin, "A deep learning approach for fault diagnosis of photovoltaic arrays based on electrical measurements," IEEE Sustainable Power Energy Conf., pp. 2520-2526, 2019.
V. Mishra, P. Singh, and K. Vasudevan, "Detection and classification of faults in photovoltaic arrays using machine learning techniques," IEEE 46th Photovolt. Spec. Conf., pp. 1602-1607, 2019.
B. Palmintier et al., "On the path to SunShot: Emerging issues and challenges in integrating solar with the distribution system," NREL, Golden, CO, USA, Tech. Rep. NREL/TP-5D00-65331, 2016.
M. Lave, J. Kleissl, and J. S. Stein, "A wavelet-based variability model (WVM) for solar PV power plants," IEEE Trans. Sustain. Energy, vol. 4, no. 2, pp. 501-509, 2013.
J. von Appen, T. Stetz, M. Braun, and A. Schmiegel, "Local voltage control strategies for PV storage systems in distribution grids," IEEE Trans. Smart Grid, vol. 5, no. 2, pp. 1002-1009, 2014.
R. Hanna, J. Kleissl, A. Nottrott, and M. Ferry, "Energy dispatch schedule optimization for demand charge reduction using a photovoltaic-battery storage system with solar forecasting," Sol. Energy, vol. 103, pp. 269-287, 2014.
D. C. Jordan, S. R. Kurtz, K. VanSant, and J. Newmiller, "Compendium of photovoltaic degradation rates," Prog. Photovolt. Res. Appl., vol. 24, no. 7, pp. 978-989, 2016.
T. Huld, G. Friesen, A. Skoczek, R. P. Kenny, T. Sample, M. Field, and E. D. Dunlop, "A power-rating model for crystalline silicon PV modules," Sol. Energy Mater. Sol. Cells, vol. 95, no. 12, pp. 3359-3369, 2011.
D. Feldman, K. Horowitz, B. Palmintier, R. Fu, and R. Margolis, "Quantifying innovation in the U.S. solar industry: An exploratory statistical analysis," NREL, Golden, CO, USA, Tech. Rep. NREL/TP-6A20-77961, 2021.
C. E. Valdivia et al., "Bifacial photovoltaic module energy yield: A review of field data, prediction tools, and cost implications," Prog. Photovolt. Res. Appl., vol. 29, no. 12, pp. 1331-1357, 2021.
A. Sangwongwanich, Y. Yang, and F. Blaabjerg, "A cost-effective power ramp-rate control strategy for single-phase two-stage grid-connected photovoltaic systems," IEEE Trans. Energy Convers., vol. 32, no. 3, pp. 1151-1162, 2017.
Y. Levron, D. R. Clement, B. Choi, C. Olalla, and D. Maksimovic, "Control of submodule integrated converters in the isolated-port differential power-processing photovoltaic architecture," IEEE J. Emerg. Sel. Top. Power Electron., vol. 2, no. 4, pp. 821-832, 2014.
X. Li et al., "Recent advances in wide-bandgap semiconductor power devices for high-frequency applications," Eng. Sci., vol. 16, pp. 165-185, 2021.
K. W. Kow, Y. W. Wong, R. K. Rajkumar, and R. K. Rajkumar, "A review on performance of artificial intelligence and conventional method in mitigating PV grid-tied related power quality events," Renew. Sustain. Energy Rev., vol. 56, pp. 334-346, 2016.
C. P. Cameron, W. E. Boyson, and D. M. Riley, "Comparison of PV system performance-model predictions with measured PV system performance," IEEE 34th Photovolt. Spec. Conf., pp. 1-6, 2008.
N. Martin-Chivelet and D. Montero-Gomez, "Optimizing photovoltaic self-consumption in office buildings," Energy Build., vol. 150, pp. 71-80, 2017.
C. Deline et al., "A simplified model of uniform shading in large photovoltaic arrays," Sol. Energy, vol. 96, pp. 274-282, 2013.
K. Ding, X. Bian, H. Liu, and T. Peng, "A MATLAB-Simulink-based PV module model and its application under conditions of nonuniform irradiance," IEEE Trans. Energy Convers., vol. 27, no. 4, pp. 864-872, 2012.
SolarEdge Technologies Inc., "Global Trends in C&I Solar," SolarEdge White Paper, Herzliya, Israel, 2021.
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