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dc.contributor.authorWang, Zhishuangen_US
dc.contributor.authorWang, Pingen_US
dc.contributor.authorJiang, Wentaoen_US
dc.contributor.authorWang, Pengen_US
dc.identifier.citationWang, Z., Wang, P., Jiang, W. & Wang, P. (2021). A decentralized automatic load power allocation strategy for hybrid energy storage system. IEEE Transactions On Energy Conversion, 36(3), 2227-2238.
dc.description.abstractA decentralized improved I-V droop control strategy for battery-supercapacitor (SC) hybrid energy storage system (HESS) is proposed in this paper. The dynamic power sharing between battery and SC is realized by replacing the constant droop coefficient in I-V droop control with virtual impedance, i.e. virtual inductance for battery side converter and virtual resistance for SC side converter. Besides, by injecting the virtual inductance in the battery side converter, negligible DC bus voltage deviation can be achieved without extra voltage compensator. Moreover, the state-of-charge (SoC) recovery is also considered to extend the service life of the HESS. Furthermore, in the proposed regulated power system, since the power allocation, DC bus stability and SoC recovery are decoupled from each other, the design of control parameters is simple. The corresponding design guideline is demonstrated in this paper. Finally, to verify the accuracy and feasibility of the theoretical analyses, hardware in the loop simulations have been conducted.en_US
dc.description.sponsorshipNanyang Technological Universityen_US
dc.relation.ispartofIEEE Transactions on Energy Conversionen_US
dc.rights© 2020 IEEE. All rights reserved.en_US
dc.subjectEngineering::Electrical and electronic engineeringen_US
dc.titleA decentralized automatic load power allocation strategy for hybrid energy storage systemen_US
dc.typeJournal Articleen
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.contributor.researchEnergy Research Institute @ NTU (ERI@N)en_US
dc.subject.keywordsHybrid Energy Storage Systemen_US
dc.subject.keywordsPower Allocationen_US
dc.description.acknowledgementThis work was supported in part by the Natural Science Foundation of China under Grant 51977145, and in part by the Energy Research Institute at NTU (ERI@N)en_US
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