A Method to Harness Maximum Power from Photovoltaic Power Generation Basing on Completely Mathematical Model

  • Tien Phong Le Electrical Faculty, Thai Nguyen University of Technology, Thai Nguyen, Viet Nam
  • Minh Cuong Nguyen Electrical Faculty, Thai Nguyen University of Technology, Thai Nguyen, Viet Nam
  • Quang Vinh Thai Institute of Information Technology, Vietnam Academy of Science and Technology, Hanoi, Viet Nam
  • Duc Minh Ngo Electrical Faculty, Thai Nguyen University of Technology, Thai Nguyen, Viet Nam

Abstract

This paper introduces a new method that no previous study has been done in this photovoltaic power generation similar to this paper to harness maximum potential power from photovoltaic power generation. The completely mathematical model added the relation between diode factor of the generation and p-n junction temperature is proposed to use in this method. The maximum power point tracker combines the iterative and bisectional technique, the completely mathematical model of PVgPVG and the system of equations that converts value of parameters from standard test condition to any working condition, measuring sensors to measure power of solar irradiance and p-n junction temperature to determine parameters at maximum power point at any working condition. The voltage controller is designed to drive this generation to expect working state to harness maximum power. An experimental model corresponding to this method was designed and operated in real conditions in Viet Nam. Experimental results show the high accuracy of analyzing in theory and high capability to bring this method out real applications to harness all available energy of this generation.

Downloads

Download data is not yet available.

References

[1] Le Tien Phong (2018), “A Study on Methods to improve efficiency of the exaction process for photovoltaic power generation”, Dissertation for the degree Doctor of Philosophy on Control Engineering and Automation, Thai Nguyen University of Technology.
[2] Le Tien Phong, Ngo Duc Minh, Nguyen Van Lien (2017), “Improving Efficiency and Response of Photovoltaic Power Generation with DC/DC Buck Converter”, International Journal of Engineering Research and Technology, ISSN: 2278-0181, Vol. 6, Issue 3.
[3] Ali Reza Reisi, Mohammad Hassan Moradi, Shahriar Jamasb (2013), “Classification and comparison of maximum power point tracking techniques for photovoltaic system: A review”, Renewable and Sustainable Energy Reviews, ISSN: 1364:0321, Vol. 19.
[4] Pawan D. Kale, D.S. Chaudhari (2013), “A Review on Maximum Power Point Tracking (MPPT) Controlling Methods for A Photovoltaic System”, International Journal of Emerging Science and Engineering, ISSN: 2319–6378, Volume. 1, Issue. 5.
[5] Jiyong Li, Honghua Wang (2009), Maximum Power Point Tracking of Photovoltaic Generation Based on the Optimal Gradient Method, International Conference IEEE ComManTel 2015 placed in Da Nang Province and IEEE Xplore, ISSN: 2157-4847.
[6] Hisham Mahmood, Dennis Michaelson, and Jin Jiang (2012), “Control Strategy for a Standalone PV/Battery Hybrid System”, IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society, ISSN: 1553-572X.
[7] Nabil Karami (2013), “Control of a Hybrid System Based PEMFC and Photovoltaic Panels”, Dissertation for the degree Doctor of Philosophy, Aix-Marseille University.
[8] Teresa Orłowska-Kowalska, Frede Blaabjerg, José Rodríguez (2014), “Advanced and Intelligent Control in Power Electronics and Drives”, Springer Publisher, Volume 531, ISBN 978-3-319-03401-0.
[9] Vernier (2013), http://www.vernier.cz/katalog/manualy/en/pyr-bta.pdf
[10] Texas Instrument (2013), “LM35 Precision Centigrade Temperature Sensors”, http://www.farnell.com/datasheets/1848945.pdf.
Published
2018-09-05
How to Cite
LE, Tien Phong et al. A Method to Harness Maximum Power from Photovoltaic Power Generation Basing on Completely Mathematical Model. International Journal of Research and Engineering, [S.l.], v. 5, n. 8, p. 486-493, sep. 2018. ISSN 2348-7860. Available at: <https://digital.ijre.org/index.php/int_j_res_eng/article/view/355>. Date accessed: 21 oct. 2019. doi: https://doi.org/10.21276/ijre.2018.5.8.4.