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Energy management strategy based on receding horizon for a power hybrid system

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  • Feroldi, Diego
  • Rullo, Pablo
  • Zumoffen, David

Abstract

This paper presents an energy management strategy to operate a hybrid power system with renewable sources (wind and solar), batteries, and polymeric electrolyte membrane fuel cells. The fuel cells are fed with hydrogen from bioethanol reforming. The energy management strategy uses the concept of receding horizon with predictions of the future generation from the renewable sources, the future load, and the state of charge in the battery bank. Several tests are done in order to analyze the performance of the proposed methodology. The results, compared with the case without predictions, show a reduction in the loss of power supply probability (LPSP) up to 88%.

Suggested Citation

  • Feroldi, Diego & Rullo, Pablo & Zumoffen, David, 2015. "Energy management strategy based on receding horizon for a power hybrid system," Renewable Energy, Elsevier, vol. 75(C), pages 550-559.
    • Handle: RePEc:eee:renene:v:75:y:2015:i:c:p:550-559
    DOI: 10.1016/j.renene.2014.09.056
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    References listed on IDEAS

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    1. Yang, H.X. & Lu, L. & Burnett, J., 2003. "Weather data and probability analysis of hybrid photovoltaic–wind power generation systems in Hong Kong," Renewable Energy, Elsevier, vol. 28(11), pages 1813-1824.
    2. Lujano-Rojas, Juan M. & Monteiro, Cláudio & Dufo-López, Rodolfo & Bernal-Agustín, José L., 2012. "Optimum load management strategy for wind/diesel/battery hybrid power systems," Renewable Energy, Elsevier, vol. 44(C), pages 288-295.
    3. Nelson, D.B. & Nehrir, M.H. & Wang, C., 2006. "Unit sizing and cost analysis of stand-alone hybrid wind/PV/fuel cell power generation systems," Renewable Energy, Elsevier, vol. 31(10), pages 1641-1656.
    4. Torreglosa, Juan P. & García, Pablo & Fernández, Luis M. & Jurado, Francisco, 2015. "Energy dispatching based on predictive controller of an off-grid wind turbine/photovoltaic/hydrogen/battery hybrid system," Renewable Energy, Elsevier, vol. 74(C), pages 326-336.
    5. Boukhezzar, B. & Lupu, L. & Siguerdidjane, H. & Hand, M., 2007. "Multivariable control strategy for variable speed, variable pitch wind turbines," Renewable Energy, Elsevier, vol. 32(8), pages 1273-1287.
    6. Khalid, M. & Savkin, A.V., 2010. "A model predictive control approach to the problem of wind power smoothing with controlled battery storage," Renewable Energy, Elsevier, vol. 35(7), pages 1520-1526.
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    Citations

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    Cited by:

    1. Sandoval, Cinda & Alvarado, Victor M. & Carmona, Jean-Claude & Lopez Lopez, Guadalupe & Gomez-Aguilar, J.F., 2017. "Energy management control strategy to improve the FC/SC dynamic behavior on hybrid electric vehicles: A frequency based distribution," Renewable Energy, Elsevier, vol. 105(C), pages 407-418.
    2. Forough, Atefeh Behzadi & Roshandel, Ramin, 2018. "Lifetime optimization framework for a hybrid renewable energy system based on receding horizon optimization," Energy, Elsevier, vol. 150(C), pages 617-630.
    3. Ayop, Razman & Isa, Normazlina Mat & Tan, Chee Wei, 2018. "Components sizing of photovoltaic stand-alone system based on loss of power supply probability," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2731-2743.
    4. Chukwuma Ogbonnaya & Chamil Abeykoon & Adel Nasser & Ali Turan & Cyril Sunday Ume, 2021. "Prospects of Integrated Photovoltaic-Fuel Cell Systems in a Hydrogen Economy: A Comprehensive Review," Energies, MDPI, vol. 14(20), pages 1-33, October.
    5. Rullo, P. & Braccia, L. & Luppi, P. & Zumoffen, D. & Feroldi, D., 2019. "Integration of sizing and energy management based on economic predictive control for standalone hybrid renewable energy systems," Renewable Energy, Elsevier, vol. 140(C), pages 436-451.
    6. Pablo Gabriel Rullo & Ramon Costa-Castelló & Vicente Roda & Diego Feroldi, 2018. "Energy Management Strategy for a Bioethanol Isolated Hybrid System: Simulations and Experiments," Energies, MDPI, vol. 11(6), pages 1-25, May.
    7. Alan Cruz Rojas & Guadalupe Lopez Lopez & J. F. Gomez-Aguilar & Victor M. Alvarado & Cinda Luz Sandoval Torres, 2017. "Control of the Air Supply Subsystem in a PEMFC with Balance of Plant Simulation," Sustainability, MDPI, vol. 9(1), pages 1-23, January.

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