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dc.contributor.authorFang, Sidunen_US
dc.contributor.authorXu, Yanen_US
dc.contributor.authorLi, Zhengmaoen_US
dc.contributor.authorZhao, Tianyangen_US
dc.contributor.authorWang, Hongdongen_US
dc.identifier.citationFang, S., Xu, Y., Li, Z., Zhao, T. & Wang, H. (2019). Two-step multi-objective management of hybrid energy storage system in all-electric ship microgrids. IEEE Transactions On Vehicular Technology, 68(4), 3361-3373.
dc.description.abstractThe all-electric ship (AES) usually employs battery energy storage systems (ESSs) in the shipboard microgrid. However, the battery-only storage usually experiences frequent deep discharging or charging to meet the sudden load variations in a voyage, which may lead to significant degradation of battery lifetime. This paper, hybridizes two types of ESSs and proposes a two-step multi-objective optimization method for hybrid ESS (HESS) management. The first step regulates the HESS with the onboard diesel generators to simultaneously optimize both the economic and environmental objectives, and the second step is to split the active power of HESS into two individual ESSs for minimizing the battery cycle degradation. The first step is formulated as a bi-level optimization model through constraint decomposition. Then, a normal boundary intersection method combining with the column-and-constraint generation algorithm is developed to solve the proposed model. Extensive simulations demonstrate that the HESS can effectively resolve the power-density shortage of the battery-only system, and its integration into AES is able to extend the battery lifetime and improve both the economic and environmental indices.en_US
dc.relation.ispartofIEEE Transactions on Vehicular Technologyen_US
dc.rights© 2019 IEEE. All rights reserved.en_US
dc.subjectEngineering::Electrical and electronic engineeringen_US
dc.titleTwo-step multi-objective management of hybrid energy storage system in all-electric ship microgridsen_US
dc.typeJournal Articleen
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.subject.keywordsAll-electric Shipen_US
dc.subject.keywordsTwo-step Multi-objective Bi-level Optimizationen_US
dc.description.acknowledgementThe authors would like to thank the Key Laboratory of Maritime Intelligent Equipment and System, Ministry of Education, Shanghai Jiao tong University, for providing valuable data for the research.en_US
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