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Energy dispatching based on predictive controller of an off-grid wind turbine/photovoltaic/hydrogen/battery hybrid system

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  • Torreglosa, Juan P.
  • García, Pablo
  • Fernández, Luis M.
  • Jurado, Francisco

Abstract

This paper presents a novel energy dispatching based on Model Predictive Control (MPC) for off-grid photovoltaic (PV)/wind turbine/hydrogen/battery hybrid systems. The renewable energy sources supply energy to the hybrid system and the battery and hydrogen system are used as energy storage devices. The denominated “hydrogen system” is composed of fuel cell, electrolyzer and hydrogen storage tank. The MPC generates the reference powers of the fuel cell and electrolyzer to satisfy different objectives: to track the load power demand and to keep the charge levels of the energy storage devices between their target margins. The modeling of the hybrid system was developed in MATLAB-Simulink, taking into account datasheets of commercially available components. To show the proper operation of the proposed energy dispatching, a simpler strategy based on state control was presented in order to compare and validate the results for long-term simulations of 25 years (expected lifetime of the system) with a sample time of one hour.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:renene:v:74:y:2015:i:c:p:326-336
    DOI: 10.1016/j.renene.2014.08.010
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    4. Maestre, V.M. & Ortiz, A. & Ortiz, I., 2021. "Challenges and prospects of renewable hydrogen-based strategies for full decarbonization of stationary power applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 152(C).
    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. Zaibi, Malek & Champenois, Gérard & Roboam, Xavier & Belhadj, Jamel & Sareni, Bruno, 2018. "Smart power management of a hybrid photovoltaic/wind stand-alone system coupling battery storage and hydraulic network," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 146(C), pages 210-228.
    7. 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.
    8. Coelho, Vitor N. & Coelho, Igor M. & Coelho, Bruno N. & Cohen, Miri Weiss & Reis, Agnaldo J.R. & Silva, Sidelmo M. & Souza, Marcone J.F. & Fleming, Peter J. & Guimarães, Frederico G., 2016. "Multi-objective energy storage power dispatching using plug-in vehicles in a smart-microgrid," Renewable Energy, Elsevier, vol. 89(C), pages 730-742.
    9. Azuatalam, Donald & Paridari, Kaveh & Ma, Yiju & Förstl, Markus & Chapman, Archie C. & Verbič, Gregor, 2019. "Energy management of small-scale PV-battery systems: A systematic review considering practical implementation, computational requirements, quality of input data and battery degradation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 112(C), pages 555-570.
    10. Mahesh, Aeidapu & Sandhu, Kanwarjit Singh, 2015. "Hybrid wind/photovoltaic energy system developments: Critical review and findings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1135-1147.
    11. Arsalis, Alexandros & Papanastasiou, Panos & Georghiou, George E., 2022. "A comparative review of lithium-ion battery and regenerative hydrogen fuel cell technologies for integration with photovoltaic applications," Renewable Energy, Elsevier, vol. 191(C), pages 943-960.
    12. Arsalis, Alexandros & Alexandrou, Andreas N. & Georghiou, George E., 2018. "Thermoeconomic modeling of a completely autonomous, zero-emission photovoltaic system with hydrogen storage for residential applications," Renewable Energy, Elsevier, vol. 126(C), pages 354-369.
    13. Chong, Lee Wai & Wong, Yee Wan & Rajkumar, Rajprasad Kumar & Rajkumar, Rajpartiban Kumar & Isa, Dino, 2016. "Hybrid energy storage systems and control strategies for stand-alone renewable energy power systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 66(C), pages 174-189.
    14. Liu, Xianyang & Zou, Jun & Long, Rui & Liu, Zhichun & Liu, Wei, 2023. "Variable period sequence control strategy for an off-grid photovoltaic-PEM electrolyzer hydrogen generation system," Renewable Energy, Elsevier, vol. 216(C).
    15. Weiqiang Dong & Yanjun Li & Ji Xiang, 2016. "Optimal Sizing of a Stand-Alone Hybrid Power System Based on Battery/Hydrogen with an Improved Ant Colony Optimization," Energies, MDPI, vol. 9(10), pages 1-17, September.
    16. Mohammad Shafiey Dehaj & Hassan Hajabdollahi, 2021. "Multi-objective optimization of hybrid solar/wind/diesel/battery system for different climates of Iran," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(7), pages 10910-10936, July.
    17. Gallo, María Angélica & García Clúa, José Gabriel, 2023. "Sizing and analytical optimization of an alkaline water electrolyzer powered by a grid-assisted wind turbine to minimize grid power exchange," Renewable Energy, Elsevier, vol. 216(C).
    18. 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.
    19. Arash Khalilnejad & Aditya Sundararajan & Alireza Abbaspour & Arif Sarwat, 2016. "Optimal Operation of Combined Photovoltaic Electrolyzer Systems," Energies, MDPI, vol. 9(5), pages 1-12, April.
    20. Duchaud, Jean-Laurent & Notton, Gilles & Darras, Christophe & Voyant, Cyril, 2018. "Power ramp-rate control algorithm with optimal State of Charge reference via Dynamic Programming," Energy, Elsevier, vol. 149(C), pages 709-717.

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