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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

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type 24 Jul 2022 Belgium, France, Netherlands Publisher:MDPI AGJournal:Energies, volume 15, page 5,355 (eissn: 1996-1073,

Authors: Md. Mahamudul Hasan; Boris Berseneff; Tim Meulenbroeks; Igor Cantero; Sajib Chakraborty; Thomas Geury; Omar Hegazy;

doi: 10.3390/en15155355

handle: 20.500.14017/c0a9c265-a68b-44e1-9503-2853672c0585

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

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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.

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Belgium, France, Netherlands

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Keywords

HBESS, Technology, BESS; optimal sizing; co-design optimization; hybrid battery energy storage system; Li-ion battery; HBESS; LiB grid storage system, hybrid battery energy storage system, co-design optimization, Li-Ion battery, Li-ion battery, BESS, T, [SPI.NRJ]Engineering Sciences [physics]/Electric power, 621, 006, [MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC], 620, optimal sizing, LiB grid storage system, [MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC], [SPI.NRJ] Engineering Sciences [physics]/Electric power

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