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A Multi-Objective Co-Design Optimization Framework for Grid-Connected Hybrid Battery Energy Storage Systems: Optimal Sizing and Selection of Technology

Author

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  • Md. Mahamudul Hasan

    (MOBI-EPOWERS Research Group, ETEC Department, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium
    Flanders Make, Gaston Geenslaan 8, 3001 Heverlee, Belgium)

  • Boris Berseneff

    (Cea-Liten, Universités Grenoble Alpes, 38000 Grenoble, France)

  • Tim Meulenbroeks

    (Department of Powertrains, TNO, 5700 AT Helmond, The Netherlands)

  • Igor Cantero

    (Cegasa Energia S.L.U., 01015 Vitoria, Spain)

  • Sajib Chakraborty

    (MOBI-EPOWERS Research Group, ETEC Department, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium
    Flanders Make, Gaston Geenslaan 8, 3001 Heverlee, Belgium)

  • Thomas Geury

    (MOBI-EPOWERS Research Group, ETEC Department, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium
    Flanders Make, Gaston Geenslaan 8, 3001 Heverlee, Belgium)

  • Omar Hegazy

    (MOBI-EPOWERS Research Group, ETEC Department, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium
    Flanders Make, Gaston Geenslaan 8, 3001 Heverlee, Belgium)

Abstract

This paper develops a multi-objective co-design optimization framework for the optimal sizing and selection of battery and power electronics in hybrid battery energy storage systems (HBESSs) connected to the grid. The co-design optimization approach is crucial for such a complex system with coupled subcomponents. To this end, a nondominated sorting genetic algorithm (NSGA-II) is used for optimal sizing and selection of technologies in the design of the HBESS, considering design parameters such as cost, efficiency, and lifetime. The interoperable framework is applied considering three first-life battery cells and one second-life battery cell for forming two independent battery packs as a hybrid battery unit and considers two power conversion architectures for interfacing the hybrid battery unit to the grid with different power stages and levels of modularity. Finally, the globally best HBESS system obtained as the output of the framework is made up of LTO first-life and LFP second-life cells and enables a total cost of ownership (TCO) reduction of 29.6% compared to the baseline.

Suggested Citation

  • Md. Mahamudul Hasan & Boris Berseneff & Tim Meulenbroeks & Igor Cantero & Sajib Chakraborty & Thomas Geury & Omar Hegazy, 2022. "A Multi-Objective Co-Design Optimization Framework for Grid-Connected Hybrid Battery Energy Storage Systems: Optimal Sizing and Selection of Technology," Energies, MDPI, vol. 15(15), pages 1-21, July.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:15:p:5355-:d:870209
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    References listed on IDEAS

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