Performance of solar PV-fuel cell (FC) hybrid system for stand-alone applications

 
 
 
  • Abstract
  • Keywords
  • References
  • PDF
  • Abstract


    This paper presents the performance of a hybrid solar PV/ Fuel Cell/ FC system with a PMDC motor load. The hybrid system supplies power to the DC motor during day and night. In order to obtain continuous supply to the load, a control strategy is implemented in the system. By using this control strategy, the solar PV and the fuel cell supply the voltage to the load by getting constant supply from the DC link during day and night. The DC-DC interleaved soft switching boost converter (ISSBC) with Incremental conductance maximum power point tracking technique (INC MPPT) is used to maintain constant DC link voltage. When the power deficit happens in the solar PV, the hydrogen stored in the tank is used by the fuel cell stack and supplies power to the load. The entire system is modeled and the performance of the hybrid system is analyzed in MATLAB/Simulink environment.

     

     


  • Keywords


    Solar PV, PEM fuel cell, DC-DC interleaved soft switching boost converter (ISSBC), PMDC motor, matlab/simulink, embedded matlab.

  • References


      [1] Elbaset AA, “Design, Modeling and Control Strategy of PV/FC Hybrid Power System”, Journal of Electrical Systems, (2011), pp.270-286.

      [2] Borowy BS & Salameh ZM, “Methodology for Optimally Sizing the Combination of a Battery Bank and PV Array in a Wind/PV Hybrid System”, IEEE Transactions on Energy Conversion, Vol.11, No.2, (1996), pp.367-375.

      [3] Rekioua D, Bensmail S & Bettar N, “Development of hybrid photovoltaic-fuel cell system for stand-alone application”, International journal of hydrogen energy, Vol.39, (2014), pp.1604-1611.

      [4] Castaneda M, Cano A, Jurado F, Sanchez H & Fernandez LM, “Sizing optimization, dynamic modeling and energy management strategies of a stand-alone PV/hydrogen/battery-based hybrid system”, International Journal of Hydrogen Energy, Vol.38, (2013), pp.3830-3845.

      [5] Ramakumar R, Abouzahr I & Ashenayi K, “A Knowledge-based Approach to the Design of Integrated Renewable Energy Systems”, IEEE Transactions on Energy Conversion, Vol.7, No.4, (1992), pp.648-659.

      [6] Behzadi MS & Niasati M, “Comparative performance analysis of a hybrid PV/FC/battery stand-alone system using different power management strategies and sizing approaches”, International Journal of Hydrogen Energy, Vol.40, (2015), pp.538-548.

      [7] Liu YH & Huang JW, “A fast and low cost analog maximum power point tracking method for low power photovoltaic systems”, Solar Energy, Vol.85, (2011), pp.2771–2780.

      [8] El-Shatter TF, Eskandar MN & El-Hagry MT, “Technical note: Hybrid PV/fuel cell system design and Simulation”, Renewable Energy, Vol.27, (2002), pp.479–485.

      [9] Chakrasali RL, Sheelavant VR & Nagaraja HN, “Network approach to modeling and simulation of solar photovoltaic cell”, Renewable and Sustainable Energy Reviews, Vol.21, (2013), pp.84-88.

      [10] Mellita A, Benghanem M & Kalogirou SA, “Modeling and simulation of a standalone photovoltaic system using an adaptive artificial neural network: Proposition for a new sizing procedure”, Renewable Energy, Vol.32, (2007), pp.285–313.

      [11] Chiang SJ, Shieh HJ & Chen MC, “Modeling and control of PV charger system with SEPIC converter”, IEEE Transactions on Industrial Electronics, Vol.56, No.11, (2009), pp.4344-4353.

      [12] Bhatnagar P & Nema RK, “Maximum power point tracking control techniques: State-of-the-art in photovoltaic applications”, Renewable and Sustainable Energy Reviews, Vo.23, (2013), pp.224–241.

      [13] Rajashekara K, “Hybrid Fuel-Cell Strategies for Clean Power Generation”, IEEE Transactions on Industry Applications, Vol.41, No.3, (2005), pp.682-689.

      [14] Jia J, Li Q, Wang Y, Cham YT & Han M, “Modeling and Dynamic Characteristic Simulation of a Proton Exchange Membrane Fuel Cell”, IEEE Transactions on Energy Conversion, Vol.24, No.1, (2009), pp.283-291.

      [15] Ulberg O, “Stand-alone power systems for the future: Optimal design, operation & control of solar-hydrogen energy systems”, University Of Zagreb, (1998).

      [16] Dieguez PM, Ursua A, Sanchis P, Sopena C, Guelbenzu E & Gandıa LM, “Thermal performance of a commercial alkaline water electrolyzer: Experimental study and mathematical modeling”, International Journal of Hydrogen Energy, Vol.33, (2008), pp.7338– 7354.

      [17] Tzimas E, Filiou C, Peteves SD & Veyret JB, “Hydrogen Storage: state-of-theart and Future Perspective”, European Communities, Scientific and Technical Research series, (2003).

      [18] Emayavaramban G & Amudha A, “Recognition of sEMG for Prosthetic Control using Static and Dynamic Neural Networks”, International Journal of Control Theory and Applications, Vol.2, No.6, (2016), pp.155-165.

      [19] Emayavaramban G & Amudha A, “Identifying Hand Gestures using sEMG for Human Machine Interaction”, ARPN Journal of Engineering and Applied Sciences, Vol.11, No.21, (2016), pp.12777-12785.

      [20] Ramkumar S, Sathesh Kumar K & Emayavaramban G, “EOG Signal Classification using Neural Network for Human Computer Interaction”, International Journal of Control Theory and Applications, Vol.9, No.24, (2016), pp. 223-231.

      [21] Ramkumar S & Hema CR, “Recognition of Eye Movement Electrooculogram Signals Using Dynamic Neural Networks”, KJCS, Vol.6, (2013), pp.12-20.

      [22] Ramkumar S, Satheshkumar K & Emayavaramban G, “Nine States HCI using Electrooculogram and Neural Networks”, IJET, Vol. 8, No.6, (2017), pp.3056-3064.

      [23] Ramkumar S, Sathesh Kumar K & Emayavaramban G, “A Feasibility Study On Eye Movements Using Electrooculogram Based HCI”, IEEE-International Conference on Intelligent Sustainable Systems, (2017), pp.384-388.

      [24] Emayavaramban G, Ramkumar S, Amudha A & Sathesh Kumar K, “Classification of Hand Gestures Using FFNN and TDNN Networks”, International Journal of Pure and Applied Mathematics, Vol.118, No.8, (2018), pp.27-32.


 

View

Download

Article ID: 12380
 
DOI: 10.14419/ijet.v7i2.21.12380




Copyright © 2012-2015 Science Publishing Corporation Inc. All rights reserved.