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Modelling and Control of a Grid-Connected RES-Hydrogen Hybrid Microgrid

Author

Listed:
  • Jonny Esteban Villa Londono

    (Dipartimento Energia ”Galileo Ferraris”, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Torino, Italy)

  • Andrea Mazza

    (Dipartimento Energia ”Galileo Ferraris”, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Torino, Italy
    Energy Center Lab (EC-L), Politecnico di Torino, via Paolo Borsellino 38/16, 10138 Torino, Italy)

  • Enrico Pons

    (Dipartimento Energia ”Galileo Ferraris”, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Torino, Italy
    Energy Center Lab (EC-L), Politecnico di Torino, via Paolo Borsellino 38/16, 10138 Torino, Italy)

  • Harm Lok

    (Centre of Expertise Energie, Hanze University of Applied Sciences, Zernikelaan 17, 9747 AA Groningen, The Netherlands)

  • Ettore Bompard

    (Dipartimento Energia ”Galileo Ferraris”, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Torino, Italy
    Energy Center Lab (EC-L), Politecnico di Torino, via Paolo Borsellino 38/16, 10138 Torino, Italy)

Abstract

This paper proposes a Hybrid Microgrid (H μ G) model including distributed generation (DG) and a hydrogen-based storage system, controlled through a tailored control strategy. The H μ G is composed of three DG units, two of them supplied by solar and wind sources, and the latter one based on the exploitation of theProton Exchange Membrane (PEM) technology. Furthermore, the system includes an alkaline electrolyser, which is used as a responsive load to balance the excess of Variable Renewable Energy Sources (VRES) production, and to produce the hydrogen that will be stored into the hydrogen tank and that will be used to supply the fuel cell in case of lack of generation. The main objectives of this work are to present a validated dynamic model for every component of the H μ G and to provide a strategy to reduce as much as possible the power absorption from the grid by exploiting the VRES production. The alkaline electrolyser and PEM fuel cell models are validated through real measurements. The State of Charge (SoC) of the hydrogen tank is adjusted through an adaptive scheme. Furthermore, the designed supervisor power control allows reducing the power exchange and improving the system stability. Finally, a case, considering a summer load profile measured in an electrical substation of Politecnico di Torino , is presented. The results demonstrates the advantages of a hydrogen-based micro-grid, where the hydrogen is used as medium to store the energy produced by photovoltaic and wind systems, with the aim to improve the self-sufficiency of the system.

Suggested Citation

  • Jonny Esteban Villa Londono & Andrea Mazza & Enrico Pons & Harm Lok & Ettore Bompard, 2021. "Modelling and Control of a Grid-Connected RES-Hydrogen Hybrid Microgrid," Energies, MDPI, vol. 14(6), pages 1-25, March.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:6:p:1540-:d:514819
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    References listed on IDEAS

    as
    1. Petrollese, Mario & Valverde, Luis & Cocco, Daniele & Cau, Giorgio & Guerra, José, 2016. "Real-time integration of optimal generation scheduling with MPC for the energy management of a renewable hydrogen-based microgrid," Applied Energy, Elsevier, vol. 166(C), pages 96-106.
    2. Calise, Francesco & Figaj, Rafal Damian & Massarotti, Nicola & Mauro, Alessandro & Vanoli, Laura, 2017. "Polygeneration system based on PEMFC, CPVT and electrolyzer: Dynamic simulation and energetic and economic analysis," Applied Energy, Elsevier, vol. 192(C), pages 530-542.
    3. 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.
    4. Idoia San Martín & Alfredo Ursúa & Pablo Sanchis, 2014. "Modelling of PEM Fuel Cell Performance: Steady-State and Dynamic Experimental Validation," Energies, MDPI, vol. 7(2), pages 1-31, February.
    5. Diaz-Londono, Cesar & Enescu, Diana & Ruiz, Fredy & Mazza, Andrea, 2020. "Experimental modeling and aggregation strategy for thermoelectric refrigeration units as flexible loads," Applied Energy, Elsevier, vol. 272(C).
    6. Mazloomi, Kaveh & Gomes, Chandima, 2012. "Hydrogen as an energy carrier: Prospects and challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(5), pages 3024-3033.
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    Cited by:

    1. Marius C. Möller & Stefan Krauter, 2022. "Hybrid Energy System Model in Matlab/Simulink Based on Solar Energy, Lithium-Ion Battery and Hydrogen," Energies, MDPI, vol. 15(6), pages 1-23, March.

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