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Four-level Simulation Model of Photovoltaic Matrix

Received: 1 April 2020     Accepted: 24 April 2020     Published: 18 June 2020
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Abstract

Due to the comprehensive influence of many factors such as performance difference of modules and weather environment, the power prediction technology of DC side of photovoltaic (PV) power station has always been a difficult and important research direction. In this paper, a four-level modelling method of photovoltaic matrix is proposed, which can study the influence of the performance deviation of the PV modules on the output power of the array at any position. Compared with the previous research, this work modelling an independent MPPT unit and numbering each battery in series and parallel components, so as to study the influence of component performance deviation on the overall output power in different circuit positions. At the same time, the function of electrical protection inside and outside the components is considered, which makes the calculation results closer to the actual situation of the power plant. By using this method, the influence of different installation direction of modules on the overall power generation of a 50KW photovoltaic matrix under the same occlusion condition is studied. The results show that when the light intensity loss in the occluded area is less than 40%, there is little difference between the two installation methods; with the increase of the light intensity loss, the power loss of the transverse installation method is smaller.

Published in American Journal of Science, Engineering and Technology (Volume 5, Issue 2)

This article belongs to the Special Issue Advances in Thermoelectric Generation and Renewable Energies

DOI 10.11648/j.ajset.20200502.16
Page(s) 89-95
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2020. Published by Science Publishing Group

Keywords

Photovoltaic Power Station, Power Generation Prediction, Theoretical Model, Simulation Calculation, Light Shielding

References
[1] J. L. Zhou, B, Wang, Y. M. Zhang, “Parameter identification and output power prediction of photovoltaic matrix based on measured data,” Renewable energy, 10 (7): 1-4, 2012.
[2] X. Y. Yang, X. H. Liu, “Large scale grid connected solar power generation model and its application,” Chinese Journal of electrical engineering, 31 (11), 2011.
[3] Y. Gong, “Study on power prediction model of photovoltaic module based on parameter identification,” Chengdu: University of Electronic Science and Technology of China, China, 2010.
[4] Y. T. Tan, D. S. Kirschen, N. Jenkins, “A model of PV generation suitable for stability analysis,” IEEE Trans. Energy Convers, 19 (4): 748-755, 2004.
[5] M. G. Villalva, J. R. Gazoli, “Comprehensive Approach to Modeling and Simulation of Photovoltaic matrixs,” IEEE Transctions on Power Electronics, 24 (5), 2009.
[6] D. G. Liu, et al. “Overview of photovoltaic power generation system model,” Grid technology, 35 (8): 47-51, 2011.
[7] J. H. Su, S. J. Yu, W Zhao, et al. “Investigation on engineering analytical model of silicon solar cells,” Acta energy Solaris Sinica, 20 (5): 409-412, 2005.
[8] K. Ding, Q. X. Zhai, J. W. Zhang, et al. “A model for estimating the output power of photovoltaic modules,” Renewable energy, 32 (3): 275-277, 2014.
[9] R. L. Chen, Y. Cui, D. Y. Li, et al. “Study on simulation model of photovoltaic modules under uneven illumination,” Journal of system simulation, 20 (7): 1681-1690, 2008.
[10] J. L. Xiao, Z. Xu, C. Lin, et al. “Optimal design of photovoltaic matrixs under partial shading,” Proceedings of the CSEE, 29 (11): 119-124, 2009.
[11] X. Y. Liu, X. M. Qi. “Modeling and analysis of photovoltaic matrix under local shadow condition,” Grid technology, 34 (11), 2010.
[12] H, Patel, V, Agarwal. “Matlab-based modeling to study the effects of partial shading on PV array characteristics,” IEEE Trans on Energy Conversion, 23 (1): 302-310, 2008.
Cite This Article
  • APA Style

    Dawei Liu, Japeng Su, Zhihao Li, Anjun Jin. (2020). Four-level Simulation Model of Photovoltaic Matrix. American Journal of Science, Engineering and Technology, 5(2), 89-95. https://doi.org/10.11648/j.ajset.20200502.16

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    ACS Style

    Dawei Liu; Japeng Su; Zhihao Li; Anjun Jin. Four-level Simulation Model of Photovoltaic Matrix. Am. J. Sci. Eng. Technol. 2020, 5(2), 89-95. doi: 10.11648/j.ajset.20200502.16

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    AMA Style

    Dawei Liu, Japeng Su, Zhihao Li, Anjun Jin. Four-level Simulation Model of Photovoltaic Matrix. Am J Sci Eng Technol. 2020;5(2):89-95. doi: 10.11648/j.ajset.20200502.16

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  • @article{10.11648/j.ajset.20200502.16,
      author = {Dawei Liu and Japeng Su and Zhihao Li and Anjun Jin},
      title = {Four-level Simulation Model of Photovoltaic Matrix},
      journal = {American Journal of Science, Engineering and Technology},
      volume = {5},
      number = {2},
      pages = {89-95},
      doi = {10.11648/j.ajset.20200502.16},
      url = {https://doi.org/10.11648/j.ajset.20200502.16},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajset.20200502.16},
      abstract = {Due to the comprehensive influence of many factors such as performance difference of modules and weather environment, the power prediction technology of DC side of photovoltaic (PV) power station has always been a difficult and important research direction. In this paper, a four-level modelling method of photovoltaic matrix is proposed, which can study the influence of the performance deviation of the PV modules on the output power of the array at any position. Compared with the previous research, this work modelling an independent MPPT unit and numbering each battery in series and parallel components, so as to study the influence of component performance deviation on the overall output power in different circuit positions. At the same time, the function of electrical protection inside and outside the components is considered, which makes the calculation results closer to the actual situation of the power plant. By using this method, the influence of different installation direction of modules on the overall power generation of a 50KW photovoltaic matrix under the same occlusion condition is studied. The results show that when the light intensity loss in the occluded area is less than 40%, there is little difference between the two installation methods; with the increase of the light intensity loss, the power loss of the transverse installation method is smaller.},
     year = {2020}
    }
    

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  • TY  - JOUR
    T1  - Four-level Simulation Model of Photovoltaic Matrix
    AU  - Dawei Liu
    AU  - Japeng Su
    AU  - Zhihao Li
    AU  - Anjun Jin
    Y1  - 2020/06/18
    PY  - 2020
    N1  - https://doi.org/10.11648/j.ajset.20200502.16
    DO  - 10.11648/j.ajset.20200502.16
    T2  - American Journal of Science, Engineering and Technology
    JF  - American Journal of Science, Engineering and Technology
    JO  - American Journal of Science, Engineering and Technology
    SP  - 89
    EP  - 95
    PB  - Science Publishing Group
    SN  - 2578-8353
    UR  - https://doi.org/10.11648/j.ajset.20200502.16
    AB  - Due to the comprehensive influence of many factors such as performance difference of modules and weather environment, the power prediction technology of DC side of photovoltaic (PV) power station has always been a difficult and important research direction. In this paper, a four-level modelling method of photovoltaic matrix is proposed, which can study the influence of the performance deviation of the PV modules on the output power of the array at any position. Compared with the previous research, this work modelling an independent MPPT unit and numbering each battery in series and parallel components, so as to study the influence of component performance deviation on the overall output power in different circuit positions. At the same time, the function of electrical protection inside and outside the components is considered, which makes the calculation results closer to the actual situation of the power plant. By using this method, the influence of different installation direction of modules on the overall power generation of a 50KW photovoltaic matrix under the same occlusion condition is studied. The results show that when the light intensity loss in the occluded area is less than 40%, there is little difference between the two installation methods; with the increase of the light intensity loss, the power loss of the transverse installation method is smaller.
    VL  - 5
    IS  - 2
    ER  - 

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Author Information
  • Solar Thermal Energy Division, Hua-Neng Clean Energy Research Inst, Beijing, China

  • The Maritime Faculty, Ningbo University, Ningbo, China

  • The Maritime Faculty, Ningbo University, Ningbo, China

  • Solar Thermal Energy Division, Hua-Neng Clean Energy Research Inst, Beijing, China

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