DESIGN AND PERFORMANCE ASSESSMENT OF HYBRID-MAXIMUM POWER POINT TRACKING ALGORITHM

Tuan Anh Tran; Quan Minh Duong

doi:10.31130/ict-ud.2019.96

Tuan Anh Tran The University of Danang - University of Science and Technology, Danang, Vietnam
Quan Minh Duong The University of Danang - University of Science and Technology, Danang, Vietnam

DOI: https://doi.org/10.31130/ict-ud.2019.96

Abstract

There is unprecedented interest in renewable energy, this work is accomplished in order to meet rising electricity demand as well as reduce the dependence on fossil fuels. In the distinctive means of renewable energy, recent years have seen rapid growth on installed power and output power as well. With the development of power electronic techniques and manufacturing materials, the installation cost of photovoltaic (PV) is reducing gradually, promising intense competition with the conventional energy in foreseeable future. However, this mean of energy is affected by coincident variation of irradiance parameters and environment temperature, etc. Hence, power electronic converters must integrate the algorithms of Maximum Power Point Tracking (MPPT) so that improve the output power of Photovoltaic systems. The previous MPPT algorithms have existed some drawbacks in operation such as oscillation and the slow process, etc. This article build a MPPT based on simulation and experimental methods and is compared to the conventional MPPT algorithms. The verifiable results show the hybrid MPPT algorithm has better performance, enhance the quantity of obtained power and increase the stability of the system.

Downloads

Download data is not yet available.

References

[1] Minh Quan Duong, Ngoc Thien Nam Tran, Gabriela Nicoleta Sava, Mircea Scripcariu (2017), “The Impacts of Distributed Generation Penetration into the Power System”, 2017 International Conference on Electromechanical and Power Systems (SIELMEN), pp. 295-301.
[2] L. Ou-Yang and Y. Ren, “The Development of Wind-Solar Energy Systems in China,” in 2009 International Conference on Energy and Environment Technology, 2009, vol. 3, pp. 626–627.
[3] K. Shimazaki et al., “Development status of ultra-lightweight solar panel using space solar sheet,” in 2009 34th IEEE Photovoltaic Specialists Conference (PVSC), 2009, pp. 002457–002461.
[4] K. Kato et al., “Progress in PV technology development under the New Sunshine Program JFY1997-2000-PV system technology,” in Conference Record of the Twenty-Ninth IEEE Photovoltaic Specialists Conference, 2002., 2002, pp. 1718–1721.
[5] “2018 Most Efficient Solar Panels on the Market EnergySage,” Solar News, 02-Jun-2018.
[6] Minh Quan Duong, Hien Tran, Chowdhury Akram Hossain, "Influence of elemental parameter in the boost and the buck converter", 2017 IEEE Region 10 Humanitarian Technology Conference (R10-HTC), 2017, pp. 528-531
[7] M. Q. Duong, H. H. Nguyen, T. H. D. Nguyen, T. T. Nguyen, and G. N. Sava, “Effect of component design on the DC/DC power converters dynamics”, 2017 10th International Symposium on Advanced Topics in Electrical Engineering (ATEE), 2017, pp. 617–620.
[8] M. Q. Duong, H. H. Nguyen, T. H. D. Nguyen, T. T. Nguyen, and G. N. Sava, “Effect of component design on the DC/DC power converters dynamics,” in 2017 10th International Symposium on Advanced Topics in Electrical Engineering (ATEE), 2017, pp. 617–620.
[9] D. P. Hohm and M. E. Ropp, “Comparative study of maximum power point tracking algorithms using an experimental, programmable, maximum power point tracking test bed,” in Conference Record of the Twenty-Eighth IEEE Photovoltaic Specialists Conference - 2000 (Cat. No.00CH37036), 2000, pp. 1699–1702.
[10] Jangwoo Park*, Hong-geun Kim, Yongyun Cho, Changsun Shin, “Simple Modeling and Simulation of Photovoltaic Panels Using Matlab/Simulink,” Adv. Sci. Technol. Lett., vol. 73, pp. 147–155, 2014.
[11] HaeGwangJeong, Ro HakSeung, KyoBeum Lee, “An Improved Maximum Power Point Tracking Method for Wind Power Systems,” Energies, 7 May 2012, Vol.5, pp. 1339~1354.
[12] Chihchiang Hua and Chihming Shen “Comparative Study of Peak Power Tracking Techniques for Solar Storage System” Department of Electrical Engineering National Yunlin University of Science & Technology.
[13] D. P. Hohm, M. E. Ropp “Comparative Study of Maximum Power Point Tracking Algorithms Using an Experimental, Programmable, Maximum Power Point Tracking Test Bed” Electrical Engineering Department South Dakota State University Brookings, SD 57007-2220.
[14] Duong M.Q., Tran N.T.N., Sava G.N., Leva S., Mussetta M., “The Impact of 150MWp PhoAn Solar Photovoltaic Project into Vietnamese QuangNgai - Grid”, 2018 International Conference on Electrical and Power Engineering EPE, pp. 0498-0502, 2018.
[15] S. Khadidja, M. Mountassar and B. M'hamed, "Comparative study of incremental conductance and perturb & observe MPPT methods for photovoltaic system," 2017 International Conference on Green Energy Conversion Systems (GECS), Hammamet, 2017, pp. 1-6.
[16] A. S. Ahmed, B. A. Abdullah and W. G. A. Abdelaal, "MPPT algorithms: Performance and evaluation," 2016 11th International Conference on Computer Engineering & Systems (ICCES), Cairo, 2016, pp. 461-467.
[17] S. Qin, M. Wang, T. Chen and X. Yao, "Comparative analysis of incremental conductance and perturb-and-observation methods to implement MPPT in photovoltaic system," 2011 International Conference on Electrical and Control Engineering, Yichang, 2011, pp. 5792-5795.