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JACIII Vol.16 No.7 pp. 881-887
doi: 10.20965/jaciii.2012.p0881
(2012)

Paper:

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A Variable Step Size Incremental Conductance Direct MPPT Method for Stand-Alone PV Systems

Jae-Hoon Cho*1, Jin-Il Park*1, Won-Pyo Hong*2,
and Myung-Geun Chun*3,*4

*1Smart Logistics Technology Institute, Hankyong National University, 327 Chungang-ro, Anseong-si, Gyeonggi-do 456-749, Korea

*2Department of Building Science and Plant Engineering, Hanbat National University, 16-1 Dukmyung-dong, Yuseong-gu, Daejeon 305-719, Korea

*3College of Electrical and Computer Engineering, Chungbuk National University, 410 Seongbong-ro, Cheongju, Chungbuk 361-763, Korea

*4Corresponding author

Received:
October 5, 2012
Accepted:
November 5, 2012
Published:
November 20, 2012
Creative Commons License
Keywords:
direct maximum power point tracking, standalone photovoltaic, dc-dc converter, fuzzy membership
Abstract
This paper presents a variable step size incrementalconductance direct Maximum Power Point Tracking (MPPT) method using fuzzy membership for a standalone photovoltaic (PV) system under rapidly changing irradiation. MPPT techniques have been widely applied in PV systems to make a PV array generate maximum power, which depends on solar irradiation. In most applications of MPPT technologies, MPPT algorithm design methods are performed and tested under slowly changing atmospheric conditions such as irradiation and temperature. The short-term effect under rapidly changing irradiation should be considered, however, to improve the dynamic performance of PV system. Our proposed MPPT method is based on an incremental conductance algorithm with a direct control scheme that can directly adjust the duty cycle for the PI controller. A fuzzy membership function is adopted to determine the variable step size according to rapidly changing irradiation. The proposed methods thus has not only faster dynamic performance but also high tracking accuracy. In order to show the effect of the proposed method, the simulation model and proposed MPPT is designed with MATLAB/Simpower and simulated with MATLAB/Stateflow.
Cite this article as:
J. Cho, J. Park, W. Hong, and M. Chun, “A Variable Step Size Incremental Conductance Direct MPPT Method for Stand-Alone PV Systems,” J. Adv. Comput. Intell. Intell. Inform., Vol.16 No.7, pp. 881-887, 2012.
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References
  1. [1] 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.
  2. [2] 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.
  3. [3] 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.
  4. [4] 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.
  5. [5] 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.
  6. [6] 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.
  7. [7] 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.
  8. [8] 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.
  9. [9] 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.
  10. [10] 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.
  11. [11] M. Uzunoglu, O. C. Onar, and M. S. Alam, “Modeling, control and simulation of a PV/FC/UC based hybrid power generation system for stand-alone application,” Renewable Energy, Vol.32, Issue 3, pp. 509-520, 2009.
  12. [12] MATLAB SimPowerSystems for use with Simulink user’s guide, version 4.1.1.http://www.mathworks.com/access/helpdesk/help/pdf_doc/physmod/powersys/powersys.pdf
  13. [13] M. A. S. Masoum, H. Dehbonei, and E. F. Fuchs, “Theoretical and experimental analyses of photovoltaic systems with voltage and current-based maximum power-point tracking,” IEEE Trans. on Energy Conversion, Vol.17, Issue 4, pp. 514-522, 2002.
  14. [14] M. Veerachary, T. Senjyu, and K. Uezato, “Voltage-based maximum power point tracking control of PV system,” IEEE Trans. on Aerospace and Electronic Systems, Vol.38, Issue 1, pp. 262-270, 2002.
  15. [15] 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.
  16. [16] K. H. Hussein, I. Muta, T. Hoshino, and M. Osakada, “Maximum Photovoltaic Power Tracking : an Algorithm for Rapidly Changing atmospheric Conditions,” IEE Proc.-Generation, Transmission and Distribution, Vol.142, pp. 59-64, 1995.
  17. [17] J. H. Cho, W. P. Hong, and M. G. Chun, “Renewable Source and Hybrid System Modeling for Smart Grid,” J. of the Korean Institute of Illuminating and Electrical Installation Engineers, Vol.24, No.12, pp. 109-121, 2010.
  18. [18] 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.
  19. [19] 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.
  20. [20] L. Yang, J. Cao, and Z. Li, “Principles and implementation of maximum power point tracking in photovoltaic system,” Int. Conf. on Mechanic Automation and Control Engineering (MACE), pp. 2239-2242, 2010.
  21. [21] 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.
  22. [22] 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.
  23. [23] W. Xiao and W. G. Dunford, “A modified adaptive hill climbing MPPT method for photovoltaic power systems,” in Proc. IEEE PESC, pp. 1957-1963, 2004.

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