ZVS based switching technique mitigates the power losses using mosfet based full bridge dc converter

  • Authors

    • Durgam Kumara Swamy
    • Dr B. V. Sanker Ram
    2018-06-08
    https://doi.org/10.14419/ijet.v7i2.33.14169
  • Photovoltaic (PV)-Cell, Zero Voltage Switching - (ZVS), Fuzzy Based Fuel-Cell DC-DC Converter-(FBFCDC).

  • Abstract

    In today’s' vitality power industries Boost converters highly required to convert the normal power into improvised power. Normally vitality converters struggled with voltage pressure over the power electronics switching nature and undulation. The renewable energy of a kind that vitality Photovoltaic (PV)-cell sources, windmill and battery are the sources for the converters; in this Photovoltaic play a vital role and mostly used medium to provide converters for further processing. The vitality PV is basically acted along with solar power efficiency, which is improvised ZeroVoltage Switching [ZVS] converters. The Zero-Voltage Switching [ZVS] converters transforms the low-power DC energy to high-power or vitality DC-energy, which reduces the voltage pressure over the power electronics switching units and undulation is improving execution of the electrical system vitality efficiently and simplifying the circuit nature.

     

  • References

    1. [1] Massoud A. M., Abdelsalam A.K., Enjeti P. N. And Ahmed S., (2011) ‘High-performance adaptive perturb and study MPPT practice for photovoltaic-based micro grids’ IEEE Transaction, vol. 26, no. 4, pp. 1010–1021.

      [2] Borrega M., Lopez J., Agorreta J. L. and Marroyo L., (2001) ‘Modelling and organize of N-paralleled grid-connected inverters with LCL filter coupled due to grid impedance in PV plants’ IEEE Transaction, vol. 26, no. 3, pp. 770–785.

      [3] Ahmed K. H., Finney S. J., Williams B. W. and Alajmi B. N., (2011) ‘Fuzzy logic- control approach of a modified hill-climbing method for maximum power point in micro grid standalone photovoltaic system’ IEEE Transaction, vol. 26, no. 4, pp. 1022–1030.

      [4] Shanxu D. Tao C. And Bangyin L., (2011) ‘Photovoltaic DC-buildingmodule based BIP system-concept and design considerations’ IEEE Transaction, vol. 26, no. 5, pp. 1418–1429.

      [5] Kulkarni S. R., Brunton S. L., Clarkson C. and Rowley C.W., (2010) ‘Maximum power point tracking for photovoltaic optimization using ripple-based extremum seeking control’ IEEE Transaction, vol. 25, no. 10, pp. 2531–2540.

      [6] Petrone G., Spagnuolo G., Vitelli M. and Femia N., (2005) ‘Optimization of perturb an observe maximum power point tracking method’ IEEE Transaction, vol. 20, no. 4, pp. 963–973.

      [7] Abido M. A. and Hassan M. A., (2011) ‘Optimal design of micro grids in autonomous and grid-connected modes using particle swarm optimization’ IEEE Transaction, vol. 26, no. 3, pp. 765-770.

      [8] Saito T., Irisawa K., Sawada Y. and Takano I., (2000) ‘Maximum power point tracking control of photovoltaic generation system under non-uniform insolation by means of monitoring cells’ Proceedings 28th IEEE Conference proceeding, pp. 1707–1710.

      [9] Agarwal V. and Jain S., (2007) ‘A single-stage grid connected inverter topology for solar PV systems with maximum power point tracking’ IEEE Transaction, vol. 22, no. 5, pp. 1928–1940.

      [10] Kai S., Yan X., Lanlan F., Li Z. and Hongjuan G., (2011) ‘A modular grid connected photovoltaic generation system based on DC bus’ IEEE Transaction, vol. 26, no. 2, pp. 523–531.

      [11] A.Sakhare, A.Davari, A.Feliachi, “Control of Stand Alone Oxide Fuel Cell using Fuzzy Logicâ€, In the Proc of the 35th Southeastern Sym on Sys Theory’ 2003, pp473-476, March 2003.

      [12] F.Jurado, M.Valverde, “Fuzzy logic inverter flux control of fuel cell plants in distributed generationâ€, 11th Int Conf on Harmonics and Quality of Power, 2004.

      [13] Jurado, M.Valverde, “Novel Inverter Flux Control ForFuel Cell Using Fuzzy Logicâ€, In the Proc of 4th Int Conf on Power Electronic and Motion Control, 2004, vol.2, pp714-718.

      [14] Rosich, V.Puig., J. Quevedo.,“Fault-Tolerant Constrained MPC of PEM Fuel Cellsâ€, IAR Annual Meeting, 2006, pp1-6.

      [15] J.T.Pukrushpan., A.G.Stefannopoulou., H.Peng. “Control of Fuel Cell Power Systems: Principles, Modelling, and Analysis and Feedback Designâ€, series Advances in Industrial Control, 2004, Springer.

      [16] P.Rodatz. G.Paganelli., A.Sciarretta, L.Guzzella. “Optimal power management of an experimental fuel cell/supercapacitor-powered hybrid vehicleâ€, Control Engineering Practice, 2005, vol.13, pp41-53.

      [17] P.E.M. Almeida., and M.G.Simoes., “Neural optimal control of PEM fuel cells with parametric CMAC networksâ€, IEEE Trans. on Industry Applications, 2005, vol 41(1), pp 237-245.

      [18] Y.El-Sharkh., A.Rahman. M.S.Alam., “Neural networks-based control of active and reactive power of a stand-alone PEM fuel cell plantâ€, J.of Power Sources, 135, pp88-94, 2004.

      [19] C.Bordons., A.Arce., A.J. Del Real., “Constrained Predictive Control Strategies for PEM fuel cellsâ€, In the Proc. of ACC’06, ACC, Minnesota, USA, 2006.

      [20] Vahidi. A.G.Stefannopoulou., H.Peng., “ Current Management in a Hybrid Fuel Cell Power System: A Model Predictive Control Approachâ€, IEEE Trans. on Control Systems Technology, vol.14(6), 2006.

  • Downloads

  • How to Cite

    Kumara Swamy, D., & B. V. Sanker Ram, D. (2018). ZVS based switching technique mitigates the power losses using mosfet based full bridge dc converter. International Journal of Engineering & Technology, 7(2.33), 283-286. https://doi.org/10.14419/ijet.v7i2.33.14169

    Received date: 2018-06-17

    Accepted date: 2018-06-17

    Published date: 2018-06-08