통합자연과학논문집 (Journal of Integrative Natural Science)

조선대학교 기초과학연구원 (The Basic Science Institute Chosun University)
권호 표지
DOI QR코드

DOI QR Code

Applying Least Mean Square Method to Improve Performance of PV MPPT Algorithm

  • Poudel, Prasis (Department of Multimedia Engineering Graduate School, Mokpo University) ;
  • Bae, Sang-Hyun (Department of Computer Science and Statistics, Chosun University) ;
  • Jang, Bongseog (Department of Multimedia Engineering Graduate School, Mokpo University)
  • 투고 : 2022.10.03
  • 심사 : 2022.10.06
  • 발행 : 2022.10.14
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

Solar photovoltaic (PV) system shows a non-linear current (I) -voltage (V) characteristics, which depends on the surrounding environment factors, such as irradiance, temperature, and the wind. Solar PV system, with current (I) - voltage (V) and power (P) - Voltage (V) characteristics, specifies a unique operating point at where the possible maximum power point (MPP) is delivered. At the MPP, the PV array operates at maximum power efficiency. In order to continuously harvest maximum power at any point of time from solar PV modules, a good MPPT algorithms need to be employed. Currently, due to its simplicity and easy implementation, Perturb and Observe (P&O) algorithms are the most commonly used MPPT control method in the PV systems but it has a drawback at suddenly varying environment situations, due to constant step size. In this paper, to overcome the difficulties of the fast changing environment and suddenly changing the power of PV array due to constant step size in the P&O algorithm, least mean Square (LMS) methods is proposed together with P&O MPPT algorithm which is superior to traditional P&O MPPT. PV output power is predicted using LMS method to improve the tracking speed and deduce the possibility of misjudgment of increasing and decreasing the PV output. Simulation results shows that the proposed MPPT technique can track the MPP accurately as well as its dynamic response is very fast in response to the change of environmental parameters in comparison with the conventional P&O MPPT algorithm, and improves system performance.

키워드

과제정보

This paper was mainly written by adapting the first author's Master degree thesis which was supervised by the corresponding author, and also the similar versions by shorten or summary of the original thesis were published elsewhere conferences. Among our publications of the work result subjected to PV with LMS, we are ultimately considering that this version is the deepest and best described research paper.

참고문헌

  1. Y. T. Hsiao and C. H. Chen, "Maximum Power Tracking for Photovoltaic Power Systems", Tamkang Journal of Science and Engineering. Vol. 8, no 2, pp.147-153, 2005.
  2. T. Esram and P. L. Chapman, "Comparison of photovoltaic array maximum power point tracking techniques", IEEE Transactions on Energy Conversion, vol. 22, no. 2, pp. 439-449, 2007. https://doi.org/10.1109/TEC.2006.874230
  3. D. P. Hohm and M. E. Ropp, "Comparative study of maximum power point tracking algorithms", Progress in Photovoltaics: Research and Applications, vol. 11, no. 1, pp. 47-62, 2003. https://doi.org/10.1002/pip.459
  4. V. Salas, E. Olias, A. Barrado and A. Lazaro, "Review of the maximum power point tracking algorithms for stand-alone photovoltaic systems", Solar Energy Materials and Solar Cells, vol. 90, no. 11, pp. 1555- 1578, 2006. https://doi.org/10.1016/j.solmat.2005.10.023
  5. N. Femia, G. Petrone, G. Spagnuolo, and M. Vitelli, "A technique for improving P&O MPPT performances of double-stage grid-connected photovoltaic systems", IEEE Trans. Ind. Electron., vol. 56, no. 11, pp. 4473-4482, Nov. 2009. https://doi.org/10.1109/TIE.2009.2029589
  6. Y. J. Lee, P. Poudel, B. Jang, D. S. Ahn and Y. S. Jeon, "Applying Duty Cycle to P&O Algorithm for Efficient Tracking PV Maximum Power Points", Korea Smart Media Association & Korea Electronics and Telecommunications Society , Fall Conference, At south Korea, Vol. 5,no. 2,pp.84-86, Oct. 2016.
  7. B. Widrow, J. M. McCool, M. G. Larimore and C. R. Johnson, "Stationary and non-stationary learning characteristics of the LMS adaptive filter", Proceedings of the IEEE, 1976, 64, (8), pp. 1151-1162. https://doi.org/10.1109/PROC.1976.10286
  8. H. C. Shin, A. H. Sayed and W. J. Song, "Variable step-size NLMS and affine projection algorithms", IEEE Signal Process. Lett. 2004, 11, (2), pp. 132-135 https://doi.org/10.1109/LSP.2003.821722
  9. A. N. A. Ali, M. H. Saied, M. Z. Mostafa, T. M. Abde, "A survey of maximum PPT techniques of PV systems", IEEE Energytech, pp. 1-17, 2012.
  10. F. Spertino and J. S. Akilimali, "Are manufacturing I-V mismatch and reverse currents key factors in large photovoltaic arrays?", IEEE Transactions on Industrial Electronics, Vol. 56, No. 11, pp. 4520-4531, Nov. 2009. https://doi.org/10.1109/TIE.2009.2025712
  11. B. Hauke, "Basic Calculation of a Boost Converter's Power Stage", TEXAS INSTRUMENTS, SLVA372C-November 2009 -Revised January 2014.
  12. S. Paulo, R. Diniz, Adaptive Filtering Book, Fourth Edition, Springer, pp 137-207.
  13. P. Poudel and B. Jang, "Applying Multiple Linear Modeling to Photovoltaic System Fault Detection", Journal of JAITC, Vol. 6, No. 2, pp. 1-8, Dec. 31, 2016. https://doi.org/10.14801/jaitc.2016.6.1.31
  14. P. Poudel, "Data Analysis and Modeling for Fault Detection in PV Systems", Master Degree Thesis, Mokpo University, Aug. 2017
  15. P. Poudel, and et al, "Improvement of P&O MPPT Algorithm of Photovoltaic System based on Least Mean Square Algorithm", The 4 th Intl' Conf. on Next Generation Computing (ICNGC), Vietnam, Dec. 20, 2018.
  16. S-H Bae, P. Poudel, DS Kang, B. Jang, "Structure Improvement of P&O MPPT Algorithm of PV System based on Least Mean Square Algorithm", The 11th Int'l Conf. on Smart Media & Applications, Sep. 2022.