International E-publication: Publish Projects, Dissertation, Theses, Books, Souvenir, Conference Proceeding with ISBN.  International E-Bulletin: Information/News regarding: Academics and Research

Evaluating load Current and MPPT Algorithms for the Solar Energy with an Emphasis on DC systems

    ,

Author Affiliations

  • 1New Castle University School of Electrical, Electronic and Computer Engineering, Zanjan, IRAN

Res. J. Recent Sci., Volume 4, Issue (3), Pages 1-8, March,2 (2015)

Abstract

The solar energy is a main renewable energy sources which can generates the power. The present study aims to investigate the relation between PV module and the load considering a way to control upmost power point which tracks in PV module. The produced output energies present the load by PV module considering the PV module. The present study relates to MPP (maximum power point) method regarding DC-DC power convertor attempts to use MPPT algorithm with respect to the changes of sun temperature. MPPT algorithm has been used since it has a simple performance mentioned as a quick method to estimate the maximum power point. Based on voltage-based maximum power point tracker (VMPPT), PV open circuit voltage is estimated on line whereby the maximum power point is estimated in PV and the power is continuously synchronized. PV module and DC-DC converter as well as maximum power point tracking are modeled and simulated in this study.

References

  1. A photovoltaic array simulation Model for Matlab–Simulink GUI Environment, by YUN Tiam Tan, student ember, IEEE, Daniel S. Kirschen, Senior Member, IEEE, and Nicholas Jenkins, Senior Member, IEEE, (2007)
  2. Fangrui Liu, Yong kang, Yu Zhang and Shanx Duan, Comparison of P and O and hill climbing MPPT methods for grid-connected PV converter, 3rd IEEE conference on Indusstrial Electronica and Applications, 2008, ICIEA 2008, 804-807 (2008)
  3. Fangrui Liu, Yong kang, Yu Zhang and Shanxu Duan, Comparison of P and O and hill climbing MPPT methods for grid-connected PV converter, 3th IEEE conference on industrial Electronics and Application, 2008, ICIEA 2008, August 2008, 804-807, (2008)
  4. Gow J.A. and Manning C.D, Development of photovoltaic array model for use in power electronics simulation studies, Electric Power Aplications, IEE Proceedings,146, 193-200 (2002)
  5. Hasaneen B.M and Elbaset Mohammed A.A, Design and simulation of DC/DC boost converter, Power system conference, 2008, MEPCON 2008, 12th International Middle-East, 335-340, (2008)
  6. Yeager K.E., Electric Vehicels and solar power Enhancing the advantages of electricity, IEEE Power Eng, Rev, 12, (1992)
  7. Buresch M., photovoltaic Energy systems Design and Installation New York: McGraw-hill, (1983)
  8. Saied M.M. and Jaboori M.G., Optimal solar array configuration and DC motor field parameters for maximum annual output mechanical energy, IEEE Trans. Energy Conversion,4, 459-465 (1989)
  9. Marcelo Gardella Villava, Jonas Rafael Gazoli and Emesto Ruppert Filho, Comperhensive Approach to Modeling and simulation of photovoltaic Arrays, IEEE transaction on power Electronics,24(5), 1198-1204 (2009)
  10. Mohamad A.S., Masoum Hooman Dehbonei and Ewald F. Fuchs, Fellow, IEEE , theoretical and Exprimental Analyses of Photovoltaic Systems with Voltage- and current-Based Maximum power-Point Tracking, IEEE Transaction on Energy Conversion, 17(4), (2002)
  11. Mohan N., Robinson W.P. and Undeland T., Power Electronics : Converters, Applications, and Design, 2ndEdition, New Yourk, Wiley, (1995)
  12. Hughes R.O., optimum control of sun tracking solar collectors, in Proc. Annu. Meeting of Int., Solar Energy Soc, Denver, CO, 28-31 (1978)
  13. Alghuwainem S.M., Matching of a dc motor to a photovoltaic generator using a step-up converter with current-locked loop, IEEE Trans .Energy Conversion,9,192-198 (1994)
  14. Technology and the environment alternative energy sources, V. Rayan 2002-2005.december 5, 2005 http:www.technology student.com/energy1/eagex.htm›, (2005)
  15. Hiyama T., Kouzuma S. and limakudo T., Identification of optimal operating point of PV modules using neural network for real time maximum power tracking control, IEEE Trans, Energy Conversion,10, 360-367 (1995)
  16. U.S Department of Energy, Multi program plan 2008-2012, www1.eee.energy.gov/solar/solar_program_mypp _2008-2012.pdf, accessed 1/30/10, (2012)
  17. Salameh Z.M., Borowy B.S. and Amin A.R.A., Photovoltaic module-site matching based on the capacity factor, IEEE Trans, Enegy conversion, 10, 326-332, (1995)