Implementation of IncCond Algorithm to Optimize PI Boost Converter for Maximum Power Point Tracking in Photovoltaic Arrays

Authors

  • Slamet Slamet Malaysia–Japan International Institute of Technology (MJIIT), University Teknologi Malaysia Kuala Lumpur, Jalan Semarak, 54100 Kuala Lumpur, Malaysia
  • Rasli Abd Ghani Malaysia–Japan International Institute of Technology (MJIIT), University Teknologi Malaysia Kuala Lumpur, Jalan Semarak, 54100 Kuala Lumpur, Malaysia
  • Fuminori Kobayashi Malaysia–Japan International Institute of Technology (MJIIT), University Teknologi Malaysia Kuala Lumpur, Jalan Semarak, 54100 Kuala Lumpur, Malaysia

DOI:

https://doi.org/10.11113/jt.v71.3847

Keywords:

Photovoltaic, inccond algorithm, boost converter, power efficiency

Abstract

This paper presents an incremental conductance (IncCond) algorithm optimized Proportional Integral (PI) controller for maximum power point tracking (MPPT) in photovoltaic (PV) arrays. In the proposed method, Modified IncCond algorithm is used for optimizing the maximum available power in uncertainty occurs of the temperature and solar radiation. Furthermore, PI in boost converter is used to ensure the steady state conditions more quickly and eliminate the power losses in switching. Tuning method is applied for determining control parameters by using zigler-nichols and trial – error procedures. The simulation results demonstrate the excellent performance which can effectively improve in tracking speed and accuracy of maximum power. The controller response is able to achieve stable conditions around 0.01 seconds, which is three times faster to equal with the input voltage. Simulation results showed that the PV system becomes more efficient as proven by the changes in irradiance conditions by having average power efficiency is 99.35%, error is 0.65%, which is half the existing one.

References

K.K. Tse. Henry Shu-Hung Chung, S.Y. Ron Hui, C.M. Mok, and M.T. Ho. May 2003. A Novel Maximum Power Point Tracking Technique for Solar Panels Using a SEPIC or Cuk Converter. IEEE Transactions On Power Electronics. 18(3): 717–724

M. Salhi, Abdeslam El-Jouni, Rachid El-Bachtiri. 2013. Maximum Power Point Tracker using Fuzzy Control for Photovoltaic System. International Journal of Emerging Research in Management &Technology. V: 105–113

H. N. Zainudin. 2010. Comparison Study of Maximum Power Point Tracker Techniques for PV Systems. 14th International Middle East Power Systems Conference. 1: 750–755

J.H.R Enslin. 1990. A Cost Saving Necessity in Solar Energy Systems. 16th Annual Conference of IEEE Industrial Electronics Society. 2: 1073 –1077

D. P. Hohm, M.E. Ropp. 2000. Comparative Study of Maximum Power Point Tracking Algorithms Using an Experimental, Programmable, Maximum Power Point Tracking Test Bed. Conference Record of the Twenty-Eighth IEEE Photovoltaic Specialists Conference: 1699–1702.

Subiyanto, A. Mohamed and M.A Hannan. 15-18 May 2011. Development of an Efficient Photovoltaic Maximum Power Point Tracking Controller. IEEE International Electric Machines and Drives Conference(IEMDC) : 1189–1194

R. Arulmurugan, N. Suthanthira Vanitha, A. Mohamed and M.A Hannan. 2012. Optimal Design of DC to DC Boost Converter With Closed Loop Control PID Mechanism For High Voltage Photovoltaic Application. International Journal of Power Electronics and Drive system(IJPEDS),

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Published

2014-12-30

Issue

Vol. 71 No. 5: ​Special Issue on Fifth International Graduate Conference on Engineering, Science & Humanities

Section

Science and Engineering

License

Copyright of articles that appear in Jurnal Teknologi belongs exclusively to Penerbit Universiti Teknologi Malaysia (Penerbit UTM Press). This copyright covers the rights to reproduce the article, including reprints, electronic reproductions, or any other reproductions of similar nature.

How to Cite

Implementation of IncCond Algorithm to Optimize PI Boost Converter for Maximum Power Point Tracking in Photovoltaic Arrays. (2014). Jurnal Teknologi, 71(5). https://doi.org/10.11113/jt.v71.3847