IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v9y2017i3p371-d92313.html
   My bibliography  Save this article

Series Connected Photovoltaic Cells—Modelling and Analysis

Author

Listed:
  • Anas Al Tarabsheh

    (Electrical and Computer Engineering Department, Abu Dhabi University, 59911 Abu Dhabi, UAE
    Electrical Engineering Department, the Hashemite University, 13115 Zarqa, Jordan)

  • Muhammad Akmal

    (Electrical and Computer Engineering Department, Abu Dhabi University, 59911 Abu Dhabi, UAE)

  • Mohammed Ghazal

    (Electrical and Computer Engineering Department, Abu Dhabi University, 59911 Abu Dhabi, UAE)

Abstract

As solar energy costs continue to drop, the number of large-scale deployment projects increases, and the need for different analysis models for photovoltaic (PV) modules in both academia and industry rises. This paper proposes a modified equivalent-circuit model for PV modules. A PV module comprises several series-connected PV cells, to generate more electrical power, where each PV cell has an internal shunt resistance. Our proposed model simplifies the standard one-diode equivalent-circuit (SEC) model by removing the shunt resistance and including its effect on the diode part of the circuit, while retaining the original model accuracy. Our proposed equivalent circuit, called here a modified SEC (MSEC), has less number of circuit elements. All of the PV cells are assumed operating under the same ambient conditions where they share the same electric voltage and current values. To ensure the simplification did not come at a reduction in the accuracy of the SEC model, we validate our MSEC model by simulating both under the same conditions, calculate, and compare their current/voltage ( I / V ) characteristics. Our results validate the accuracy of our model with the difference between the two models falling below 1%. Therefore, the proposed model can be adopted as an alternative representation of the equivalent circuit for PV cells and modules.

Suggested Citation

  • Anas Al Tarabsheh & Muhammad Akmal & Mohammed Ghazal, 2017. "Series Connected Photovoltaic Cells—Modelling and Analysis," Sustainability, MDPI, vol. 9(3), pages 1-9, March.
    • Handle: RePEc:gam:jsusta:v:9:y:2017:i:3:p:371-:d:92313
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/9/3/371/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/9/3/371/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sharma, Vikrant & Chandel, S.S., 2013. "Performance and degradation analysis for long term reliability of solar photovoltaic systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 27(C), pages 753-767.
    2. Uli Würfel & Dieter Neher & Annika Spies & Steve Albrecht, 2015. "Impact of charge transport on current–voltage characteristics and power-conversion efficiency of organic solar cells," Nature Communications, Nature, vol. 6(1), pages 1-9, November.
    3. Silvano Vergura, 2016. "A Complete and Simplified Datasheet-Based Model of PV Cells in Variable Environmental Conditions for Circuit Simulation," Energies, MDPI, vol. 9(5), pages 1-12, April.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Madi, Saida & Kheldoun, Aissa, 2017. "Bond graph based modeling for parameter identification of photovoltaic module," Energy, Elsevier, vol. 141(C), pages 1456-1465.
    2. Kahoul, Nabil & Chenni, Rachid & Cheghib, Hocine & Mekhilef, Saad, 2017. "Evaluating the reliability of crystalline silicon photovoltaic modules in harsh environment," Renewable Energy, Elsevier, vol. 109(C), pages 66-72.
    3. Figgis, Benjamin & Ennaoui, Ahmed & Ahzi, Said & Rémond, Yves, 2017. "Review of PV soiling particle mechanics in desert environments," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 872-881.
    4. Cai, Baoping & Liu, Yonghong & Ma, Yunpeng & Huang, Lei & Liu, Zengkai, 2015. "A framework for the reliability evaluation of grid-connected photovoltaic systems in the presence of intermittent faults," Energy, Elsevier, vol. 93(P2), pages 1308-1320.
    5. Kim, Byungil & Kim, Changyoon, 2018. "Estimating the effect of module failures on the gross generation of a photovoltaic system using agent-based modeling," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 1019-1024.
    6. Pandey, A.K. & Tyagi, V.V. & Selvaraj, Jeyraj A/L & Rahim, N.A. & Tyagi, S.K., 2016. "Recent advances in solar photovoltaic systems for emerging trends and advanced applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 859-884.
    7. Yilmaz, Saban & Ozcalik, Hasan Riza & Kesler, Selami & Dincer, Furkan & Yelmen, Bekir, 2015. "The analysis of different PV power systems for the determination of optimal PV panels and system installation—A case study in Kahramanmaras, Turkey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1015-1024.
    8. Triki-Lahiani, Asma & Bennani-Ben Abdelghani, Afef & Slama-Belkhodja, Ilhem, 2018. "Fault detection and monitoring systems for photovoltaic installations: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2680-2692.
    9. Yadav, Amit Kumar & Sharma, Vikrant & Malik, Hasmat & Chandel, S.S., 2018. "Daily array yield prediction of grid-interactive photovoltaic plant using relief attribute evaluator based Radial Basis Function Neural Network," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2115-2127.
    10. Gupta, Nikita & Garg, Rachana & Kumar, Parmod, 2017. "Sensitivity and reliability models of a PV system connected to grid," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 188-196.
    11. Kichou, Sofiane & Silvestre, Santiago & Nofuentes, Gustavo & Torres-Ramírez, Miguel & Chouder, Aissa & Guasch, Daniel, 2016. "Characterization of degradation and evaluation of model parameters of amorphous silicon photovoltaic modules under outdoor long term exposure," Energy, Elsevier, vol. 96(C), pages 231-241.
    12. Wang, Youyang & Li, Liying & Sun, Yifan & Xu, Jinjia & Jia, Yun & Hong, Jianyu & Hu, Xiaobo & Weng, Guoen & Luo, Xianjia & Chen, Shaoqiang & Zhu, Ziqiang & Chu, Junhao & Akiyama, Hidefumi, 2021. "Adaptive automatic solar cell defect detection and classification based on absolute electroluminescence imaging," Energy, Elsevier, vol. 229(C).
    13. Paweł Piotrowski & Mirosław Parol & Piotr Kapler & Bartosz Fetliński, 2022. "Advanced Forecasting Methods of 5-Minute Power Generation in a PV System for Microgrid Operation Control," Energies, MDPI, vol. 15(7), pages 1-23, April.
    14. Maruthi Prasad, R. & Krishnamoorthy, A., 2019. "Design validation and analysis of the drive range enhancement and battery bank deration in electric vehicle integrated with split power solar source," Energy, Elsevier, vol. 172(C), pages 106-116.
    15. Novak, Milan & Vohnout, Rudolf & Landkamer, Ladislav & Budik, Ondrej & Eider, Markus & Mukherjee, Amrit, 2023. "Energy-efficient smart solar system cooling for real-time dynamic weather changes in mild-climate regions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 182(C).
    16. Cubukcu, M. & Akanalci, A., 2020. "Real-time inspection and determination methods of faults on photovoltaic power systems by thermal imaging in Turkey," Renewable Energy, Elsevier, vol. 147(P1), pages 1231-1238.
    17. Robert Jane & Gordon Parker & Gail Vaucher & Morris Berman, 2020. "Characterizing Meteorological Forecast Impact on Microgrid Optimization Performance and Design," Energies, MDPI, vol. 13(3), pages 1-23, January.
    18. Majewski, Peter & Al-shammari, Weam & Dudley, Michael & Jit, Joytishna & Lee, Sang-Heon & Myoung-Kug, Kim & Sung-Jim, Kim, 2021. "Recycling of solar PV panels- product stewardship and regulatory approaches," Energy Policy, Elsevier, vol. 149(C).
    19. Pillai, Dhanup S. & Rajasekar, N., 2018. "A comprehensive review on protection challenges and fault diagnosis in PV systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 18-40.
    20. Royo, Patricia & Ferreira, Víctor J. & López-Sabirón, Ana M. & Ferreira, Germán, 2016. "Hybrid diagnosis to characterise the energy and environmental enhancement of photovoltaic modules using smart materials," Energy, Elsevier, vol. 101(C), pages 174-189.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:9:y:2017:i:3:p:371-:d:92313. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.