Journal of the Korean Institute of Illuminating and Electrical Installation Engineers (조명전기설비학회논문지)

The Korean Institute of IIIuminating and Electrical Installation Engineers (한국조명전기설비학회)
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A Variable Step Size Incremental Conductance MPPT of a Photovoltaic System Using DC-DC Converter with Direct Control Scheme

  • Cho, Jae-Hoon (Smart Logistics Technology Institute, Hankyong National University) ;
  • Hong, Won-Pyo (Dept. of Building Science & Plant Engineering, Hanbat National University)
  • Received : 2013.06.13
  • Accepted : 2013.07.24
  • Published : 2013.09.30
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Abstract

This paper presents a novel maximum power point tracking for a photovoltaic power (PV) system with a direct control plan. Maximum power point tracking (MPPT) must usually be integrated with photovoltaic (PV) power systems so that the photovoltaic arrays are able to deliver maximum available power. The maximum available power is tracked using specialized algorithms such as Perturb and Observe (P&O) and incremental Conductance (indCond) methods. The proposed method has the direct control of the MPPT algorithm to change the duty cycle of a dc-dc converter. The main difference of the proposed system to existing MPPT systems includes elimination of the proportional-integral control loop and investigation of the effect of simplifying the control circuit. The proposed method thus has not only faster dynamic performance but also high tracking accuracy. Without a conventional controller, this method can control the dc-dc converter. A simulation model and the direct control of MPPT algorithm for the PV power system are developed by Matlab/Simulink, SimPowerSystems and Matlab/Stateflow.

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References

  1. Kyoungsoo R, Rahman S. Two-loop controller for maximizing performance of a grid-connected photovoltaicfuel cell hybrid power plant. IEEE Transactions Energy Conversion 1998;13(3), pp.276-281. https://doi.org/10.1109/60.707608
  2. El-Shatter TF, Eskandar MN, El-Hagry MT. Hybrid PV/fuel cell system design and simulation. Renewable Energy 2002;27(3), pp.479-485. https://doi.org/10.1016/S0960-1481(01)00062-3
  3. Gorgun H. Dynamic modeling of a proton exchange membrane (PEM) electrolyzer. International Journal of Hydrogen Energy 2006;31(1):29-38. https://doi.org/10.1016/j.ijhydene.2005.04.001
  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, Issue 11, pp. 1555-1578, 2006. https://doi.org/10.1016/j.solmat.2005.10.023
  5. A. Mellit, H. Rezzouk, A. Messai, and B. Medjahed, "PGA-based real time implementation of MPPT controller for photovoltaic systems," Renewable Energy, Vol.36, Issue 5, pp. 1652-1661, 2011. https://doi.org/10.1016/j.renene.2010.11.019
  6. G. Li and H. A. Wang, "Novel stand-alone PV generation system based on variable step size INC MPPT and SVPWM control," IEEE 6th Int. Power Electronics and Motion Control Conf., IEEEIPEMC' 09, pp. 2155-2160, 2009.
  7. Syafaruddin, E. Karatepe, and T. Hiyama, "Polar coordinated fuzzy controller based real-time maximum-power point control of photovoltaic system," Renewable Energy, Vol.34, Issue 12, pp. 2597-2606, 2009. https://doi.org/10.1016/j.renene.2009.04.022
  8. A. Messai, A. Mellit, A. Guessoum, and S. A. Kalogirou, "Maximum power point tracking using a GA optimized fuzzy logic controller and its FPGA implementation," Solar Energy, Vol.85, Issue 2, pp. 265-277, 2011. https://doi.org/10.1016/j.solener.2010.12.004
  9. A.Mellit and S. A. Kalogirou, "Artificial intelligence techniques for photovoltaic applications: a review," Progress in Energy and Combustion Science, Vol.34, Issue 5, pp. 574-632, 2008. https://doi.org/10.1016/j.pecs.2008.01.001
  10. T. Esram and P. L. Chapman, "Comparison of photovoltaic array maximum power point tracking techniques," IEEE Trans. Energy Convers., Vol.22, No.2, pp. 439-449, 2007. https://doi.org/10.1109/TEC.2006.874230
  11. A. Pandey, N. Dasgupta, and A. K. Mukerjee, "Design issues in implementing MPPT for improved tracking and dynamic performance," in Proc. IEEE IECON 2006, pp. 4387-4391, 2006.
  12. F. Liu, S. Duan, F. Liu, B. Liu, and Y. Kang, "A variable step size INCMPPT method for PV systems," IEEE Trans. Ind. Electron., Vol.55, No.7, pp. 2622-2628, 2008. https://doi.org/10.1109/TIE.2008.920550
  13. T. Senjyu and K. Uezato, "Maximum power point tracker using fuzzy control for photovoltaic arrays," in Proc. IEEE Int. Conf. Ind. Technol., pp. 143-147, 1994.
  14. M. Uzunoglu, Onar O.C, Alam M.S. Modeling, control and simulation of a PV/FC/UC based hybrid power generation system for stand-alone application. Renewable Energy 32(2009), pp. 509-520.
  15. Azadeh Safari and Saad Mekhilef, Simulation and Hardware Implementation of Incremental Conductance MPPT With Direct Control Method Using Cuk Converter, IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, VOL. 58, NO. 4, APRIL 2011.
  16. MATLAB SimPowerSystems for use with Simulink user's guide, version. 1.1.http://www.mathworks.com/access/helpdesk/help/pdf_doc/physmod/powersys/powersys.pdf.
  17. M. Veerachary, T. Senjyu, and K. Uezato, "Voltage-based maximum power point tracking control of PV system," IEEE Transactions on Aerospace and Electronic Systems, Vol.38, Issue 1, pp. 262-270, 2002. https://doi.org/10.1109/7.993245
  18. Y. Sukamongkol, S. Chungpaibulpatana, and W. Ongsakul, "A simulation model for predicting the performance of a solar photovoltaic system with alternating current loads," Renewable Energy, Vol.27, Issue 2, pp.237-258, 2002. https://doi.org/10.1016/S0960-1481(02)00002-2
  19. K. H. Hussein, I. Muta, T. Hoshino, and M. Osakada, "Maximum Photovoltaic Power Tracking : an Algorithm for Rapidly Changing atmospheric Conditions," IEE Proceedings-Generation, Transmission and Distribution, Vol.142, pp. 59-64, 1995. https://doi.org/10.1049/ip-gtd:19951577
  20. I. Houssamo, F. Locment, and M. Sechilario, "Maximum power tracking for photovoltaic power system: development and experimental comparison of two algorithms," Renewable Energy, Vol.35, Issue 10, pp. 2381-2387, 2010. https://doi.org/10.1016/j.renene.2010.04.006
  21. F. Salem, M. S. A. Moteleb, and H. T. Dorrah, An enhanced fuzzy-PI controller applied to the MPPT problem," J. Sci. Eng., Vol.8, No.2, pp. 147-153, 2005.
  22. L. Yang, J. Cao, and Z. Li, "Principles and implementation of maximum power point tracking in photovoltaic system," International Conference on Mechanic Automation and Control Engineering (MACE), pp. 2239-2242, 2010.
  23. K. Noppadol, W. Theerayod, and S. Phaophak, "FPGA implementation of MPPT using variable step-size P&O algorithm for PV applications," in Proc. ISCIT, pp. 212-215, 2006.
  24. A. Pandey, N. Dasgupta, and A. K. Mukerjee, "Design issues in implementing MPPT for improved tracking and dynamic performance,"in Proc. IEEE IECON, pp. 4387-4391, 2006.

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