Optimization of Solar Photovoltaic Converters for Maximum Energy Efficiency

##plugins.themes.academic_pro.article.main##

Sudhakar H. S.
Gujjala B. Balaraju
Pradeep K.

Abstract

Performance of a SPV system is dependent on temperature, array configuration, solar insolation, shading across it etc. The conversion of solar energy using SPV modules comes with its own problems that arise from the change in insulation conditions. These changes in insulation conditions severely affect the efficiency and output power of the SPV modules. For improving the efficiency of conversion of solar energy can be done by tracking the maximum power point of a PV module. There are so many types of MPPT charge controllers for doing this important work in SPV system. A dc-dc converter is essential in SPV system as it acts as an interface between the load and the SPV module. Three different basic types of converters are explained in this paper without any non-idealities. There are other types of dc-dc converters as well, but these converters from these three basic converters. Further by using these dc-dc converters the performance of the MPPT algorithms can be done for improving the overall efficiency of the SPV system.

##plugins.themes.academic_pro.article.details##

How to Cite
H. S., S., Balaraju, G. B., & K., P. (2014). Optimization of Solar Photovoltaic Converters for Maximum Energy Efficiency. Power Research - A Journal of CPRI, 379–384. Retrieved from https://cprijournal.in/index.php/pr/article/view/827

References

  1. M. G. Simoes and N. Franceschetti, “Fuzzy Optimization based control of a Solar Array System,” in IEE - Proceedings, Electr Power Appl, Vol.146 No. 5, pp. 552-558, August 2002.
  2. R. S. Lewis, “Antartic Research 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 Multi Conference 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. 49-62,2008.
  5. M. E. Ahmad and S. Mekhilef, “Design and Implementation of a Multi-Level ThreePhase Inverter with Less Switches and Low Output Voltage Distortation,” 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. Trishan Esram and Patrick L. Chapman, “Comparison of Photovoltaic Array Maximum Power Point Tracking Techniques,” IEEE Transactions on Energy Conversion, Vol. 22, No. 2, June 2007.
  9. Marcelo Gradella Villavla, Jones Rafael Gazoli, Ernesto Ruppert Filho, “Comprehensive approach to modeling and simulation of Photovoltaic arrays”
  10. H. Knopf, “Analysis, Simulation, And 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.
  11. 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. 10, pp. 85-90, 2010.
  12. Hairul Nissah Zainudin and Saad 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.

Most read articles by the same author(s)