Performance evaluation of solar module with emulator and DC microgrid

Vijay Kumar Garg, Sudhir Sharma

Abstract


Increasing energy demand, depletion in fossil fuels, and environmental constraints emphasize the development and research of renewable energy resources. Solar energy sources are abundant in nature and gaining acceptance worldwide to meet the energy demand. Solar modules' performance depends on various factors, and investigation using the real solar module is uneconomical and depends on time factors. In this paper, the performance of the solar module has been evaluated with a solar PV emulator (SPVE). The I-V and P-V characteristics are analyzed under various environmental conditions. Grid integrated DC microgrid hardware system comprising SPVE, battery energy storage system has been analyzed using LabVIEW interfaced GUI system. The effect of the duty ratio of buck converter has been investigated on the load line and power production, which further affects the power intake/export with the utility grid. MPPT controller helps in the optimized operation of the solar module. Therefore, variation of power output under manual sliding controller and MPPT controller has been analyzed. SPVE replicates the actual environmental effects, and research on various shortcomings of solar modules can be investigated to enhance their acceptance as solar integrated microgrid systems.


Keywords


Solar module; converter; solar PV emulator; I-V & P-V characteristics; duty ratio; MPPT

Full Text:

PDF

References


BP, “BP Statistical Review of World Energy,” 2020. Accessed: Dec. 15, 2020. [Online]. Available: https://www.bp.com/.

International Energy Agency, “World Energy Outlook,” 2019. https://www.iea.org (accessed Dec. 15, 2020).

Central Electricity Authority (CEA), “ALL INDIA INSTALLED CAPACITY,” 2021. Accessed: May 15, 2020. [Online]. Available: http://www.cea.nic.in.

M. S. Mahmoud and F. M. AL-Sunni, Control and Optimization of Distributed Generation Systems. Springer Berlin Heidelberg, 2015.

G. Dileep and S. N. Singh, “Maximum power point tracking of solar photovoltaic system using modified perturbation and observation method,” Renewable and Sustainable Energy Reviews, vol. 50. pp. 109–129, 2015, doi: 10.1016/j.rser.2015.04.072.

G. K. Singh, “Solar power generation by PV (photovoltaic) technology: A review,” Energy, vol. 53, pp. 1–13, 2013, doi: 10.1016/j.energy.2013.02.057.

O. Bingöl and B. Özkaya, “Analysis and comparison of di ff erent PV array con fi gurations under partial shading conditions,” vol. 160, no. November 2017, pp. 336–343, 2018, doi: 10.1016/j.solener.2017.12.004.

H. Hanifi, M. Pander, B. Jaeckel, J. Schneider, A. Bakhtiari, and W. Maier, “A novel electrical approach to protect PV modules under various partial shading situations,” Sol. Energy, vol. 193, no. July, pp. 814–819, 2019, doi: 10.1016/j.solener.2019.10.035.

A. Mohapatra, B. Nayak, P. Das, and K. B. Mohanty, “A review on MPPT techniques of PV system under partial shading condition,” Renew. Sustain. Energy Rev., vol. 80, no. May, pp. 854–867, 2017, doi: 10.1016/j.rser.2017.05.083.

G. Sai Krishna and T. Moger, “Reconfiguration strategies for reducing partial shading effects in photovoltaic arrays: State of the art,” Sol. Energy, vol. 182, no. February, pp. 429–452, 2019, doi: 10.1016/j.solener.2019.02.057.

D. S. L. Dolan, J. Durago, and Taufik, “Development of a photovoltaic panel emulator using Labview,” Conf. Rec. IEEE Photovolt. Spec. Conf., pp. 001795–001800, 2011, doi: 10.1109/PVSC.2011.6186302.

D. D. C. Lu and Q. N. Nguyen, “A photovoltaic panel emulator using a buck-boost DC/DC converter and a low cost micro-controller,” Sol. Energy, vol. 86, no. 5, pp. 1477–1484, 2012, doi: 10.1016/j.solener.2012.02.008.

J. P. Ram, H. Manghani, D. S. Pillai, T. S. Babu, M. Miyatake, and N. Rajasekar, “Analysis on solar PV emulators: A review,” Renew. Sustain. Energy Rev., vol. 81, no. May 2016, pp. 149–160, 2018, doi: 10.1016/j.rser.2017.07.039.

R. Ayop and C. W. Tan, “A comprehensive review on photovoltaic emulator,” Renew. Sustain. Energy Rev., vol. 80, no. May, pp. 430–452, 2017, doi: 10.1016/j.rser.2017.05.217.

H. L. Tsai, “Insolation-oriented model of photovoltaic module using Matlab/Simulink,” Sol. Energy, vol. 84, no. 7, pp. 1318–1326, 2010, doi: 10.1016/j.solener.2010.04.012.

V. Lo Brano, A. Orioli, G. Ciulla, and A. Di Gangi, “An improved five-parameter model for photovoltaic modules,” Sol. Energy Mater. Sol. Cells, vol. 94, no. 8, pp. 1358–1370, 2010, doi: 10.1016/j.solmat.2010.04.003.




DOI (PDF): https://doi.org/10.20508/ijrer.v11i4.12317.g8309

Refbacks

  • There are currently no refbacks.


Online ISSN: 1309-0127

Publisher: Gazi University

IJRER is cited in SCOPUS, EBSCO, WEB of SCIENCE (Clarivate Analytics);

IJRER has been cited in Emerging Sources Citation Index from 2016 in web of science.

WEB of SCIENCE in 2025; 

h=35,

Average citation per item=6.59

Last three Years Impact Factor=(1947+1753+1586)/(146+201+78)=5286/425=12.43

Category Quartile:Q4