A Study of Boost Converter with Solar Photovoltaic System for Maximum Energy Efficiency

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Sudhakar H. S.
Indira M. S.
Gujjala B. Balaraju
Siddhartha Bhatt M.

Abstract

Performance of a SPV system is dependent on temperature, array configuration, solar insolation, shading etc. The conversion of solar energy using SPV modules,change in insolation conditions which severely affect the efficiency and output power of the modules. Improvement in the efficiency of conversion of solar energy can be done by tracking the maximum power point of a PV module. Various types of MPPT charge controllers are available in the market. A dc-dc converter is an important component of a SPV system as it acts as an interface between the load and the SPV module. These dc-dc converters enhance the performance of the MPPT algorithms leading to an improvement in the overall efficiency of the SPV system. This paper presents the modeling and simulation of one diode equivalent circuit of solar photovoltaic module using MATLAB/SIMULINKTM along with the boost converter which gives an efficiency of 93.29%.

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How to Cite
H. S., S., M. S., I., Balaraju, G. B., & M., S. B. (2015). A Study of Boost Converter with Solar Photovoltaic System for Maximum Energy Efficiency. Power Research - A Journal of CPRI, 133–138. Retrieved from https://node6473.myfcloud.com/~geosocin/CPRI/index.php/pr/article/view/752

References

  1. M G Simoes and N Franceschetti, "Fuzzy optimization based control of a solar array system," in IEE-Proceedings, Electric Power Appl, Vol.146 No. 5, pp. 552-558, August 2002.
  2. R S Lewis, "Antarticresearch and relevant of science," in Bulletin of the Atomic Scientists, vol. 26, 1970, pp. 2.
  3. Y H Chang and C Y Chang, "A maximum power point tracking of PV system by scaling fuzzy control," presented at International MultiConference of Engineers and Computer Scientists, Hong Kong, 2010.
  4. S Mekhilef, "Performance of grid connected inverter with maximum power point tracker and power factor control," International Journal of Power Electronics, vol. 1, pp. 4962, 2008.
  5. M E Ahmad and S Mekhilef, "Design and implementation of a multi-level threephase inverter with less switches and low output voltage distortion," Journal of Power Electronics, vol. 9, pp. 594-604, 2009.
  6. S Chin, J Gadson, and K Nordstrom, "Maximum power point tracker," Tufts University Department of Electrical Engineering and Computer Science, 2003, pp. 1-66.
  7. R Faranda and S Leva, "Energy comparison of MPPT techniques for PV Systems," WSES Transaction on Power Systems, vol. 3, pp. 446-455, 2008.
  8. TrishanEsram and Patrick L.Chapman, “Comparison of photovoltaic array maximum power point tracking techniques,”IEEE Transactions on EnergyConversion, Vol. 22, No. 2, June 2007.
  9. M G Villavla, J R Gazoli, E R Filho, “Comprehensive approach to modeling and simulation of Photovoltaic arrays”
  10. N Pandiarajan and Ranganath Muthu, “Mathematical modeling of photovoltaic module with simulink”, International Conference on Electrical Energy Systems (ICEES 2011), 3-5 Jan 2011.
  11. H Knopf, "Analysis, simulationand evaluation of maximum power point tracking (MPPT) methods for a solar power vehicle," in Electrical and Computer Engineering, vol. Master of Science in Electrical and Computer Engineering: Portland State University 1999, pp. 177.
  12. T S Ustun and S Mekhilef, "Effects of a static synchronous series compensator (SSSC) based on soft switching 48 pulse PWM inverter on the power demand from the grid," Journal of Power Electronics, vol.
  13. , pp. 85-90, 2010.
  14. H N Zainudin and S Mekhilef, “Comparison study of maximum power point tracker techniques for PV systems”, Proc. of the 14th International Middle East Power Systems Conference, Cairo University, Egypt, December 19-21, 2010.

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