Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/151220
Title: Two-step multi-objective management of hybrid energy storage system in all-electric ship microgrids
Authors: Fang, Sidun
Xu, Yan
Li, Zhengmao
Zhao, Tianyang
Wang, Hongdong
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2019
Source: Fang, 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. https://dx.doi.org/10.1109/TVT.2019.2898461
Journal: IEEE Transactions on Vehicular Technology
Abstract: The 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.
URI: https://hdl.handle.net/10356/151220
ISSN: 0018-9545
DOI: 10.1109/TVT.2019.2898461
Schools: School of Electrical and Electronic Engineering 
Rights: © 2019 IEEE. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:EEE Journal Articles

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