Various Modeling Approaches of Photovoltaic Module: A Comparative Analysis

Majlesi Journal of Electrical Engineering

مقاله 13، دوره 17، شماره 2، شهریور 2023، صفحه 117-131   

نوع مقاله: Reseach Article

شناسه دیجیتال (DOI): 10.30486/mjee.2023.1984023.1109

نویسندگان

Vijay Laxmi Mishra^{* 1}؛ Yogesh K Chauhan²؛ Kripa S. Verma³

¹Electrical Engg. Department, Kamla Nehru Institute of Technology, Sultanpur (An autonomous institute of state Govt., established in 1976), U.P.-228118, India.

²Electrical Engineering Department, Professor, Kamla Nehru Institute of Technology, Sultanpur (An autonomous institute of state Govt., established in 1976), Uttar Pradesh, India.

³Electrical Engineering Department, Professor and Director, Kamla Nehru Institute of Technology, Sultanpur (An autonomous institute of state Govt., established in 1976), Uttar Pradesh, India.

چکیده

Solar energy serves as one of the promising resources of renewable energy due to its abundance availability and clean nature. Climatic data such as irradiation level and temperature are essential as input variables while designing the photovoltaic-based system. This research paper presents an extensive comparative analysis of modeling approaches of photovoltaic modules using a 1-diode and 2-diode solar models studied under varying irradiation levels and temperature values. 8 different cases of solar models based on 1-diode and 2-diode models have been incorporated. Its effect on 10 performance indexes of the photovoltaic module is comprehensively investigated. Based on these parameters, these solar models are compared in detail. MATLAB/Simulink tool is applied to explore the results. Extensive results have been taken under various operating conditions. The results show that the 2-diode model exhibits excellent performance as it maximizes the efficiency by 5.41% against the 1-diode model. Also, the 2-diode model has a greater performance ratio of 41.70% than the 1-diode model. Hence, it is revealed that the performance of 2-diode models in terms of smooth output curves, increased maximum power, fill factor, and efficiency are much closer to the actual performance as compared to the 1-diode model.

کلیدواژه‌ها

Irradiation Level؛ Mathematical Modelling؛ Power-Voltage Curve؛ Photovoltaic Module؛ Voltage-Current Curve؛ 1-diode Model؛ 2-diode Model

مراجع

• [1] Kashani, A. Amindoust, M. Karbasian, and A. S. Aboumasoudi, “The Optimization of Photovoltaic Systems Design Using Mathematical Modeling and QFD-DSM Methods,” Majlesi Journal of Electrical Engineering, vol. 16, no. 2, pp. 55–72, 2022.
• [2] Mostafa, H. M. Abdullah, M. A. Mohamed, 2020, “Modelling and experimental investigation of solar stills for enhancing water desalination process,” IEEE Access, vol. 8, pp. 219457–219472, 2020.
• [3] L. Mishra, Y. K. Chauhan, and K. S. Verma, “A novel PV array reconfiguration approach to mitigate non-uniform irradiation effect,” Energy Convers. Manag., vol. 265, pp. 115728-115764, 2022.
• [4] L. Mishra, Y. K. Chauhan, and K. S. Verma, “A critical review on advanced reconfigured models and metaheuristics-based MPPT to address complex shadings of solar array,” Energy Convers. Manag., vol. 269, pp. 116099-116149, 2022.
• [5] L. Mishra, Y. K. Chauhan, and K. S. Verma, “Peak Power Enhancement by Novel Reconfiguration Scheme of a Solar Model Under Realistic Partial Shading Conditions,” International Conference on Green Energy, Computing and Sustainable Technology (GECOST), pp. 258–263, 2022.
• [6] Meng, Q. Zou, Z. Zhang, B. Wang, H. Ma,H. M. Abdullah, A. Almalag, M. A. Mohammad, “An intelligent hybrid wavelet-adversarial deep  model for accurate prediction of solar power generation,” Energy Rep., vol. 7, pp. 2155–2164, 2021.
• [7] Atmaca, I. Z. Pektemir, “Photovoltaic-thermal system for building application: a case study,” Energy Sources, vol. A, pp. 1–18, 2020.
• [8] Stornelli, M. Muttillo, T. D. Rubeis, I. Nardi, “A new simplified five-parameter estimation method for single-diode model of photovoltaic panels,” Energies, no. 12, vol. 22, pp. 4271-4291, 2019.
• [9] Orioli, A. D. Gangi, “A procedure to evaluate the seven parameters of the two-diode model for photovoltaic modules,” Renew. Energy, vol. 139, pp. 582–599, 2019.
• [10] Premkumara, C. Kumarb, R. Sowmyac, “Mathematical modelling of solar photovoltaic cell/panel/array based on the physical parameters from the manufacturer’s datasheet,” Int. Journal of Renewable Energy Development (IJRED), no.9, vol.1, pp. 7-22, 2020.
• [11] R. Hernanz, I. Uriarte, J. M. L. Guede, U. F. Gamiz, A. Mesanzaand E. Zulueta, “Temperature based maximum power point tracking for photovoltaic module,” Scientific Reports, vol. 10, pp. 12476-12486, 2020.
• [12] Stornelli, M. Muttillo, and T. De Rubeis, “A New Simplified Five-Parameter Estimation Method for Single-Diode Model of Photovoltaic Panels,” Energies, 12, 4271-4291, 2019.
• [13] Orioli and A. Di Gangi, “A procedure to evaluate the seven parameters of the two-diode model for photovoltaic modules,” Renew. Energy, vol 139, pp. 582-599, 2019.
• [14] A. Chandel, M. Y. Yasin, and A. Mallick, “Modeling and Simulation of Photovoltaic Cell using Single Diode Solar Cell and Double Diode Solar Cell Model,” International Journal of Innovative Technology and Exploring Engineering (IJITEE), vol.8(10), pp. 558-565, 2019,
• [15] Chaibi, A. Allouhi, M. Malvoni, M. Salhi, and R. Saadani, “Solar irradiance and temperature influence on the photovoltaic cell equivalent-circuit models,” Sol. Energy, vol. 188, pp. 1102–1110, 2019.
• [16] Bader, S. Member, X. Ma, and S. Member, “A Comparison of One- and Two-Diode Model Parameters at Indoor Illumination Levels,” IEEE Access, vol. 8, pp. 172057–172064, 2020.
• [17] Chennoufi, M. Ferfra, and M. Mokhlis, “An accurate modelling of Photovoltaic modules based on two-diode model,” Renew. Energy, vol. 167, pp. 294–305, 2021.
• [18] J. Yaqoob, E. National, U. Sidi, M. Ben, and E. B. Agyekum, “A Comparative Study with Practical Validation of Photovoltaic Monocrystalline Module for Single and Double Diode Models,” Research Square, pp. 2-18, 2021.
• [19] Padmanaban, S. Chinnathambi, and P. Parthasarathy, “An Extensive Study on Online, Offline and Hybrid MPPT Algorithms for Photovoltaic Systems,” Majlesi Journal of Electrical Engineering, vol. 15, no. 3, pp. 1–16, 2021.
• [20] B. Prakash, G. Singh, and S. Singh, “Modeling and Performance Analysis of Simplified Two-Diode Model of Photovoltaic Cells Effective Principle of Photovoltaic Cells,” Frontiers in Physics, vol. 9, pp. 1–9, 2021.
• [21] Singh, A. Ghosh, and A. Kumar, “Two, Four, and Five Parameters Estimation based Modelling of Si Cell, Mono-crystalline, and Poly-crystalline PV Modules,” Silicon, vol. 14, pp. 12191–12202, 2022.
• [22] A. Navarro, D. Oliva, A. Ramos-michel, and E. H. Haro, “An analysis on the performance of metaheuristic algorithms for the estimation of parameters in solar cell models,” Energy Convers. Manag., vol. 276, pp. 116523, 2023.
• [23] Alanazi, A. Alanazi, A. Almadhor, and H. T. Rauf, “Photovoltaic Models’ Parameter Extraction Using New Artificial Parameterless Optimization Algorithm,” Mathematics, vol. 10, no. 23, 2022.
• [24] Chauhan and S. Prakash, “Optimal Parameter Estimation of Solar Photovoltaics Through Nature Inspired Metaheuristic and Hybrid Approaches,” IETE J. Res., pp. 1-20, 2023.
• [25] J. Toledo, V. Galiano, J. M. Blanes, V. Herranz, and E. Batzelis, “Photovoltaic single-diode model parametrization. An application to the calculus of the Euclidean distance to an I–V curve,” Math. Comput. Simul., pp. 1–26, 2023.
• [26] Touabi, A. Ouadi, and H. Bentarzi, “Photovoltaic Panel Parameters Estimation Using an Opposition Based Initialization Particle Swarm Optimization,” Eng. Proc., vol. 29, pp. 1-11, 2023.
• [27] A. Abd El-Mageed, A. A. Abohany, H. M. H. Saad, and K. M. Sallam, “Parameter extraction of solar photovoltaic models using queuing search optimization and differential evolution,” Appl. Soft Comput., vol. 134, p. 110032, 2023.
• [28] A. Sayed, M. A. Sameh, M. A. Attia, and A. O. Badr, “Enhancement of PV performance by using hybrid TLBO-EO optimization,” Ain Shams Eng. J., vol. 14, no. 3, pp. 101892, 2023.
• [29] L. Mishra, Y. K. Chauhan, and K. S. Verma, “Different Reconfiguration Approaches for Photovoltaic Systems,” Computer Science Technology and Applications, pp. 121-140, 2022.
• [30] S. Solanki, “Solar photovoltaics: fundamentals, technologies and applications,” Third Edition. PHI Learning Private Limited. 2019.
• [31] Nishihara, H. Kanai, Y. Oshita, K. Nakamura, T. Kamioka, T. Hara, S. Yamaguchi, M. Koharada, A. Ogura, “Evaluation of correlation between fill factor and high mobility transparent conductive oxide film deposition temperature in the silicon heterojunction solar cells,” Material Science in semiconductor processing, vol. 132, pp. 105857, 2021.