Comparing Fuzzy rule-based and fractional Open Circuit Voltage MPPT techniques in a fuel cell stack

  • Authors

    • Doudou N. Luta Cape Peninsula University of Technology
    • Atanda K. Raji Cape Peninsula University of Technology
    2019-10-19
    https://doi.org/10.14419/ijet.v8i4.29343
  • Use about five key words or phrases in alphabetical order, Separated by Semicolon.
  • The concept of power tracking was at first applied to renewable power systems and especially those based on solar and wind to extract as much power as possible from them. Both types of power systems operate on the principle of converting either solar or wind into electricity. Thus, their output power is direct dependent on the solar radiation for solar power systems and on the wind speed for wind generators. To maintain efficient system operations, the output power of these power systems is optimized through maximum power tracking techniques. In the similar vein, fuel cell stacks display nonlinear output powers resulting from internal limitations and operating parameters such as tem-perature, hydrogen and oxygen partial pressures and humidity levels, etc., leading to a reduced system performance. It is critical to extract as much power as possible from the stack, thus, to prevent also an excessive fuel use. To ensure that, the power converter interfaced to the stack must be able to self-adjust its parameters continuously, hence modifying its voltage and current depending upon the maximum power point position. Diverse techniques are utilized to extract maximum power from the fuel-cell stack.  In this paper, a fractional open circuit voltage and fuzzy rule based maximum power tracking techniques are considered and compared. The proposed system consists of a 50 kW Proton Exchange Membrane fuel cell interfaced to a DC-to-DC boost converter. The converter is designed to deliver 1.2 kV from 625 V input voltage. The simulation is carried out under Matlab/Simulink environment.

     

     

  • References

    1. [1] Caisheng W, Nehrir MH, Shaw SR. Dynamic models and model validation for PEM fuel cells using electrical circuits. IEEE Trans Energy Convers 2005;20:442–51. https://doi.org/10.1109/TEC.2004.842357.

      [2] Nehrir MH, Caisheng W, Shaw SR. Fuel cells: promising devices for distributed generation. Power Energy Mag IEEE 2006;4:47–53. https://doi.org/10.1109/MPAE.2006.1578531.

      [3] Larminie J, Dicks A. Fuel cell systems explained. 2nd ed. John Wiley & Sons Ltd; 2003. https://doi.org/10.1002/9781118878330.

      [4] Revankar S, Majumdar P. Fuel Cells: Principles, Design and Analysis. CRC Press; 2014.

      [5] Luta DN, Raji AK. Decision-making between a grid extension and a rural renewable off-grid system with hydrogen generation. Int J Hydrogen Energy 2018;43:1–14. https://doi.org/10.1016/j.ijhydene.2018.04.032.

      [6] Harrag A, Messalti S. How fuzzy logic can improve PEM fuel cell MPPT performances? Int J Hydrogen Energy 2018;43:537–50. https://doi.org/10.1016/j.ijhydene.2017.04.093.

      [7] Mann RF, Amphlett JC, Hooper M a. I, Jensen HM, Peppley B a., Roberge PR. Development and application of a generalised steady-state electrochemical model for a PEM fuel cell. J Power Sources 2000;86:173–80. https://doi.org/10.1016/S0378-7753(99)00484-X.

      [8] Esram T, Chapman PL. Comparison of Photovoltaic Array Maximum Power Point Tracking Techniques. IEEE Trans Energy Convers 2007;22:439–49. https://doi.org/10.1109/TEC.2006.874230.

      [9] Karami N, Moubayed N, Outbib R. General review and classification of different MPPT Techniques. Renew Sustain Energy Rev 2017;68:1–18. https://doi.org/10.1016/j.rser.2016.09.132.

      [10] Eltawil MA, Zhao Z. MPPT techniques for photovoltaic applications. Renew Sustain Energy Rev 2013;25:793–813. https://doi.org/10.1016/j.rser.2013.05.022.

      [11] Ram JP, Babu TS, Rajasekar N. A comprehensive review on solar PV maximum power point tracking techniques. Renew Sustain Energy Rev 2017;67:826–47. https://doi.org/10.1016/j.rser.2016.09.076.

      [12] Kumar D, Chatterjee K. A review of conventional and advanced MPPT algorithms for wind energy systems. Renew Sustain Energy Rev 2016;55:957–70. https://doi.org/10.1016/j.rser.2015.11.013.

      [13] Barbir F. PEM fuel cells : theory and practice. 2013. https://doi.org/10.1016/B978-0-12-387710-9.01001-8.

      [14] Pukrushpan JT, Stefanopoulou AG, Peng H. Control of Fuel Cell Power Systems": Principles, Modeling, Analysis and Feedback Design. Springer Verlag London; 2006. https://doi.org/10.1007/978-3-319-08413-8.

      [15] Hohm DP, Ropp ME. Comparative study of maximum power point tracking algorithms using an experimental, programmable, maximum power point tracking test bed. Photovolt. Spec. Conf. 2000. Conf. Rec. Twenty-Eighth IEEE, Anchorage, Alaska, USA: IEEE; 2000, p. 1699–702. https://doi.org/10.1109/PVSC.2000.916230.

      [16] Onat N. Recent developments in maximum power point tracking technologies for photovoltaic systems. Int J Photoenergy 2010;2010. https://doi.org/10.1155/2010/245316.

      [17] Sarvi M, Barati M. Voltage and current based MPPT of fuel cells under variable temperature conditions. Univ. Power Eng. Conf., vol. 2, 2010, p. 2–5.

      [18] Blej M, Azizi M. Comparison of Mamdani-Type and Sugeno-Type Fuzzy Inference Systems for Fuzzy Real Time Scheduling 2016;11:11071–5.

      [19] Mamdani E., Assilian S. An Experiment in Linguistic Synthesis with a Fuzzy Logic Controller. Int J Hum Comput Stud 1999;51:135–47. https://doi.org/10.1006/ijhc.1973.0303.

      [20] Takagi T, Sugeno M. Fuzzy identification of systems and its applications to modeling and control. Syst Man Cybern IEEE Trans 1985;SMC-15:116–32. https://doi.org/10.1109/TSMC.1985.6313399.

      [21] Lilly JH. Fuzzy Control and Identification. Wiley & Sons Ltd; 2010. https://doi.org/10.1002/9780470874240.

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    N. Luta, D., & K. Raji, A. (2019). Comparing Fuzzy rule-based and fractional Open Circuit Voltage MPPT techniques in a fuel cell stack. International Journal of Engineering & Technology, 8(4), 402-411. https://doi.org/10.14419/ijet.v8i4.29343