IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v34y2009i3p509-520.html
   My bibliography  Save this article

Modeling, control and simulation of a PV/FC/UC based hybrid power generation system for stand-alone applications

Author

Listed:
  • Uzunoglu, M.
  • Onar, O.C.
  • Alam, M.S.

Abstract

Different energy sources and converters need to be integrated to meet sustained load demands while accommodating various natural conditions. This paper focuses on the integration of photovoltaic (PV), fuel cell (FC) and ultra-capacitor (UC) systems for sustained power generation. In the proposed system, during adequate insolation, the PV system feeds the electrolyzer to produce hydrogen for future use and transfers energy to the load side if possible. Whenever the PV system cannot completely meet load demands, the FC system provides power to meet the remaining load. If the rate of load demand increases the outside limits of FC capability, the UC bank meets the load demand above that which is provided by PV and FC systems. The main contribution of this work is the hybridization of alternate energy sources with FC systems using long and short-term storage strategies with appropriate power controllers and control strategies to build an autonomous system, with a pragmatic design and dynamic model proposed for a PV/FC/UC hybrid power generation system. The model is developed and applied in the MATLAB®, Simulink® and SimPowerSystems® environment, based on the mathematical and electrical models developed for the proposed system.

Suggested Citation

  • Uzunoglu, M. & Onar, O.C. & Alam, M.S., 2009. "Modeling, control and simulation of a PV/FC/UC based hybrid power generation system for stand-alone applications," Renewable Energy, Elsevier, vol. 34(3), pages 509-520.
  • Handle: RePEc:eee:renene:v:34:y:2009:i:3:p:509-520
    DOI: 10.1016/j.renene.2008.06.009
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148108002498
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.renene.2008.06.009?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Santarelli, M. & Pellegrino, D., 2005. "Mathematical optimization of a RES-H2 plant using a black box algorithm," Renewable Energy, Elsevier, vol. 30(4), pages 493-510.
    2. Hauer , Karl-Heinz, 2001. "Analysis Tool for Fuel Cell Vehicle Hardware and Software (Controls) with an Application to Fuel Economy Comparisons of Alternative System Designs," Institute of Transportation Studies, Working Paper Series qt52g0c03n, Institute of Transportation Studies, UC Davis.
    3. Khan, M.J. & Iqbal, M.T., 2005. "Dynamic modeling and simulation of a small wind–fuel cell hybrid energy system," Renewable Energy, Elsevier, vol. 30(3), pages 421-439.
    4. Lund, Henrik & Münster, Ebbe, 2006. "Integrated transportation and energy sector CO2 emission control strategies," Transport Policy, Elsevier, vol. 13(5), pages 426-433, September.
    5. Sukamongkol, Y. & Chungpaibulpatana, S. & Ongsakul, W., 2002. "A simulation model for predicting the performance of a solar photovoltaic system with alternating current loads," Renewable Energy, Elsevier, vol. 27(2), pages 237-258.
    6. Burke, Andrew, 2000. "Ultracapacitors: Why, How, and Where is the Technology," Institute of Transportation Studies, Working Paper Series qt9n905017, Institute of Transportation Studies, UC Davis.
    7. Lund, H., 2006. "Large-scale integration of optimal combinations of PV, wind and wave power into the electricity supply," Renewable Energy, Elsevier, vol. 31(4), pages 503-515.
    8. Lund, Henrik & Duić, Neven & Krajac˘ić, Goran & Graça Carvalho, Maria da, 2007. "Two energy system analysis models: A comparison of methodologies and results," Energy, Elsevier, vol. 32(6), pages 948-954.
    9. El-Shatter, Th.F. & Eskandar, M.N. & El-Hagry, M.T., 2002. "Hybrid PV/fuel cell system design and simulation," Renewable Energy, Elsevier, vol. 27(3), pages 479-485.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Østergaard, P.A. & Lund, H. & Thellufsen, J.Z. & Sorknæs, P. & Mathiesen, B.V., 2022. "Review and validation of EnergyPLAN," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    2. Ma, Tao & Østergaard, Poul Alberg & Lund, Henrik & Yang, Hongxing & Lu, Lin, 2014. "An energy system model for Hong Kong in 2020," Energy, Elsevier, vol. 68(C), pages 301-310.
    3. Münster, Marie & Lund, Henrik, 2009. "Use of waste for heat, electricity and transport—Challenges when performing energy system analysis," Energy, Elsevier, vol. 34(5), pages 636-644.
    4. Liu, Wen & Lund, Henrik & Mathiesen, Brian Vad, 2011. "Large-scale integration of wind power into the existing Chinese energy system," Energy, Elsevier, vol. 36(8), pages 4753-4760.
    5. Korpås, Magnus & Greiner, Christopher J., 2008. "Opportunities for hydrogen production in connection with wind power in weak grids," Renewable Energy, Elsevier, vol. 33(6), pages 1199-1208.
    6. Krajacic, Goran & Duic, Neven & Carvalho, Maria da Graça, 2011. "How to achieve a 100% RES electricity supply for Portugal?," Applied Energy, Elsevier, vol. 88(2), pages 508-517, February.
    7. Lund, Henrik & Mathiesen, Brian Vad, 2012. "The role of Carbon Capture and Storage in a future sustainable energy system," Energy, Elsevier, vol. 44(1), pages 469-476.
    8. Liu, Liuchen & Zhu, Tong & Pan, Yu & Wang, Hai, 2017. "Multiple energy complementation based on distributed energy systems – Case study of Chongming county, China," Applied Energy, Elsevier, vol. 192(C), pages 329-336.
    9. Tarroja, Brian & Mueller, Fabian & Eichman, Joshua D. & Samuelsen, Scott, 2012. "Metrics for evaluating the impacts of intermittent renewable generation on utility load-balancing," Energy, Elsevier, vol. 42(1), pages 546-562.
    10. Bajpai, Prabodh & Dash, Vaishalee, 2012. "Hybrid renewable energy systems for power generation in stand-alone applications: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(5), pages 2926-2939.
    11. Ćosić, Boris & Krajačić, Goran & Duić, Neven, 2012. "A 100% renewable energy system in the year 2050: The case of Macedonia," Energy, Elsevier, vol. 48(1), pages 80-87.
    12. Jacobson, Mark Z. & Delucchi, Mark A. & Ingraffea, Anthony R. & Howarth, Robert W. & Bazouin, Guillaume & Bridgeland, Brett & Burkart, Karl & Chang, Martin & Chowdhury, Navid & Cook, Roy & Escher, Giu, 2014. "A roadmap for repowering California for all purposes with wind, water, and sunlight," Energy, Elsevier, vol. 73(C), pages 875-889.
    13. Sedlar, D. Karasalihović & Vulin, D. & Krajačić, G. & Jukić, L., 2019. "Offshore gas production infrastructure reutilisation for blue energy production," Renewable and Sustainable Energy Reviews, Elsevier, vol. 108(C), pages 159-174.
    14. Hong, Lixuan & Zhou, Nan & Fridley, David & Raczkowski, Chris, 2013. "Assessment of China's renewable energy contribution during the 12th Five Year Plan," Energy Policy, Elsevier, vol. 62(C), pages 1533-1543.
    15. Saheb-Koussa, D. & Haddadi, M. & Belhamel, M., 2009. "Economic and technical study of a hybrid system (wind-photovoltaic-diesel) for rural electrification in Algeria," Applied Energy, Elsevier, vol. 86(7-8), pages 1024-1030, July.
    16. Lund, H. & Mathiesen, B.V., 2009. "Energy system analysis of 100% renewable energy systems—The case of Denmark in years 2030 and 2050," Energy, Elsevier, vol. 34(5), pages 524-531.
    17. Hong, Lixuan & Lund, Henrik & Möller, Bernd, 2012. "The importance of flexible power plant operation for Jiangsu's wind integration," Energy, Elsevier, vol. 41(1), pages 499-507.
    18. Welsch, M. & Howells, M. & Bazilian, M. & DeCarolis, J.F. & Hermann, S. & Rogner, H.H., 2012. "Modelling elements of Smart Grids – Enhancing the OSeMOSYS (Open Source Energy Modelling System) code," Energy, Elsevier, vol. 46(1), pages 337-350.
    19. Mathiesen, Brian Vad & Lund, Henrik & Karlsson, Kenneth, 2011. "100% Renewable energy systems, climate mitigation and economic growth," Applied Energy, Elsevier, vol. 88(2), pages 488-501, February.
    20. Connolly, D. & Lund, H. & Mathiesen, B.V. & Leahy, M., 2010. "A review of computer tools for analysing the integration of renewable energy into various energy systems," Applied Energy, Elsevier, vol. 87(4), pages 1059-1082, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:renene:v:34:y:2009:i:3:p:509-520. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.