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

Md. Mahamudul Hasan, Boris Berseneff, Tim Meulenbroeks, Igor Cantero, Sajib Chakraborty, Thomas Geury and Omar Hegazy
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Md. Mahamudul Hasan: MOBI-EPOWERS Research Group, ETEC Department, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, 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
Thomas Geury: MOBI-EPOWERS Research Group, ETEC Department, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium
Omar Hegazy: MOBI-EPOWERS Research Group, ETEC Department, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium

Energies, 2022, vol. 15, issue 15, 1-21

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.

Keywords: BESS; optimal sizing; co-design optimization; hybrid battery energy storage system; Li-ion battery; HBESS; LiB grid storage system (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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