Modeling and Performance Investigations of Partially Shaded Solar PV Arrays with Cell Partition Technique based Modules
Abstract
Solar photovoltaic (PV) modules consist of solar cells connected in series to provide the required output power. The solar PV system is experiencing major challenges, which are mainly due to the partial shadows on the photovoltaic modules leading to mismatching power loss and hot spot problems. Hotspots have become a major cause of PV module failure. The Cell Partition Technique (CPT) is proposed to reduce hotspots and minimize mismatch losses caused by partial shadings. Specifically, each solar PV cell (Full cell) in a solar PV module is divided or partitioned into two half cells (known as Half-Cut Cells or HC) and three equal cells (known as Tri-Cut Cells or TC) in accordance with the proposed technique. The HC and TC types of cells are connected in a strings of series-parallel connection, and bypass diode is placed in middle of the solar PV module to ensure proper operation. The primary aim of this research is to model, evaluate, and investigate the performance of solar PV arrays using new PV modules are developed based on Cell Partition Technique (PVM-CPT), such as half-cut cell modules (HCM), and tri-cut cell modules (TCM) and compared with full-sized cell modules (FCM). These PVM-CPT are connected in Series–Parallel (SP), Total-Cross-Tied (TCT), and proposed static shade dispersion based TCT reconfiguration (SD-TCTR) for the array sizes of 3x4, 4x3 and 4x4, respectively. The purpose is to select the most appropriate solar PV array configurations in terms of the highest global maximum power and thus the lowest mismatch power losses under short and narrow, short and wide, long and narrow, long and wide type of cell level partial shadings. The Matlab/Simulink software is used to simulate and analyze all of the shading cases. The results show that, when compared to conventional module configurations under different shading conditions, the proposed static SD-TCTR arrangement with TC modules (SDTCTR-TCM) exhibits the lowest mismatch power losses and the greatest improvement in array power.
Corrigendum to "Modeling and Performance Investigations of Partially Shaded Solar PV Arrays with Cell Partition Technique based Modules" is published on 01/12/2022.
Citation: BALARAJU, V., and Chengaiah, C. (2022). Modeling and Performance Investigations of Partially Shaded Solar PV Arrays with Cell Partition Technique based Modules. Trends in Renewable Energy, 8, 1-26. DOI: 10.17737/tre.2022.8.1.00134
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Mekhilef, S., Saidur, R., and Safari, A. (2011). A review on solar energy use in industries. Renewable and Sustainable Energy Reviews, 15(4), 1777-1790. DOI: 10.1016/j.rser.2010.12.018
SolarPower Europe. (2019) Global Market Outlook For Solar Power / 2019 – 2023, https://www.solarpowereurope.org/wp-content/uploads/2019/07/SolarPower-Europe_Global-Market-Outlook-2019-2023.pdf (accessed on 11/25/2021)
Kalogirou, S. (Ed.). (2017). McEvoy's handbook of photovoltaics: fundamentals and applications. Academic Press
Seyedmahmoudian, M., Mekhilef, S., Rahmani, R., Yusof, R., and Renani, E. T. (2013). Analytical Modeling of Partially Shaded Photovoltaic Systems. Energies, 6(1), 128-144. DOI: 10.3390/en6010128
Teo, J. C., Tan, R. H. G., Mok, V. H., Ramachandaramurthy, V. K., and Tan, C. (2018). Impact of Partial Shading on the P-V Characteristics and the Maximum Power of a Photovoltaic String. Energies, 11(7), 1860. DOI: 10.3390/en11071860
Esram, T., and Chapman, P. L. (2007). Comparison of Photovoltaic Array Maximum Power Point Tracking Techniques. IEEE Transactions on Energy Conversion, 22(2), 439-449. DOI: 10.1109/TEC.2006.874230
Belhachat, F., and Larbes, C. (2018). A review of global maximum power point tracking techniques of photovoltaic system under partial shading conditions. Renewable and Sustainable Energy Reviews, 92, 513-553. DOI: 10.1016/j.rser.2018.04.094
Belhachat, F., and Larbes, C. (2015). Modeling, analysis and comparison of solar photovoltaic array configurations under partial shading conditions. Solar Energy, 120, 399-418. DOI: 10.1016/j.solener.2015.07.039
Roeth, J., Facchini, A., and Bernhard, N. (2017). Optimized Size and Tab Width in Partial Solar Cell Modules including Shingled Designs. International Journal of Photoenergy, 2017, 3609109. DOI: 10.1155/2017/3609109
Guo, S., Singh, J. P., Peters, I. M., Aberle, A. G., and Walsh, T. M. (2013). A Quantitative Analysis of Photovoltaic Modules Using Halved Cells. International Journal of Photoenergy, 2013, 739374. DOI: 10.1155/2013/739374
Qian, J., Thomson, A., Blakers, A., and Ernst, M. (2018). Comparison of Half-Cell and Full-Cell Module Hotspot-Induced Temperature by Simulation. IEEE Journal of Photovoltaics, 8(3), 834-839. DOI: 10.1109/JPHOTOV.2018.2817692
Sarniak, M. T. (2020). Modeling the Functioning of the Half-Cells Photovoltaic Module under Partial Shading in the Matlab Package. Appl. Sci., 10(7), 2575. DOI:10.3390/app10072575
Chiodetti, M., Dupuis, J., Boublil, D., Radouane, K., and Dupeyrat, P. (2019). Half-Cell Module Behaviour and Its Impact on the Yield of a PV Plant, in 36th European Photovoltaic Solar Energy Conference and Exhibition. pp. 1444 - 1448. DOI: 10.4229/Eupvsec20192019-5do.3.3
Rooij, D.D. (2016). Half cut solar cells: new standard in product differentiation? https://sinovoltaics.com/solar-cells/half-cut-solar-cells-the-new-standard/ (accessed on 11/25/2021)
Hanifi, H., Schneider, J., and Bagdahn, J. (2015). Reduced shading effect on half-cell modules—Measurement and simulation. In 31st European Photovoltaic Solar Energy Conference and Exhibition. pp. 2529-2533
Qian, J., Clement, C. E., Ernst, M., Khoo, Y. S., Thomson, A., and Blakers, A. (2019). Analysis of Hotspots in Half Cell Modules Undetected by Current Test Standards. IEEE Journal of Photovoltaics, 9(3), 842-848. DOI: 10.1109/JPHOTOV.2019.2898209
Mittag, M., Pfreundt, A., Shahid, J., Wöhrle, N., and Neuhaus, D. H. (2019). Techno-Economic Analysis of Half Cell Modules: The Impact of Half Cells on Module Power and Costs. In 36th European Photovoltaic Solar Energy Conference and Exhibition (EU PVSEC).
Bala Raju, V. and Chengaiah, C. (2020). Mathematical Analysis of Solar Photovoltaic Array Configurations with Partial Shaded Modules. Trends in Renewable Energy, 6, 121-143. DOI: 10.17737/tre.2020.6.2.00115
REC Solar Pte. Ltd. (2015). The REC Twin Peak Series: Innovative module design gives improved yield performance in shaded conditions, https://www.recgroup.com/sites/default/files/documents/whitepaper_twinpeak_shading_properties_eng.pdf (accessed on 11/04/2021)
Ajmal, A. M., Sudhakar Babu, T., Ramachandaramurthy, V. K., Yousri, D., and Ekanayake, J. B. (2020). Static and dynamic reconfiguration approaches for mitigation of partial shading influence in photovoltaic arrays. Sustainable Energy Technologies and Assessments, 40, 100738. DOI: 10.1016/j.seta.2020.100738
Bala Raju, V. and Chengaiah, C. (2020). A Comprehensive Study on Re-arrangement of Modules Based TCT Configurations of Partial Shaded PV Array with Shade Dispersion Method. Tr Ren Energy, 6(1), 37-60. DOI: 10.17737/tre.2020.6.1.00111
Vicente, P. d. S., Pimenta, T. C., and Ribeiro, E. R. (2015). Photovoltaic Array Reconfiguration Strategy for Maximization of Energy Production. International Journal of Photoenergy, 2015, 592383. DOI: 10.1155/2015/592383
Parlak, K. Ş. (2014). PV array reconfiguration method under partial shading conditions. International Journal of Electrical Power & Energy Systems, 63, 713-721. DOI: 10.1016/j.ijepes.2014.06.042
Bala Raju, V. and Chengaiah, C. (2021). Enhance the Output Power of a Shaded Solar Photovoltaic Arrays with Shade Dispersion based TCT Configuration. Trends in Renewable Energy, 7, 1-23. DOI: 10.17737/tre.2021.7.1.00128
DOI: http://dx.doi.org/10.17737/tre.2022.8.1.00134
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