Large-Signal Stability Analysis of All-Electric Ships With Integrated Energy Storage Systems

All-electric ships (AESs) with efficient direct current (DC) shipboard microgrids become a significant means to reduce carbon emissions. Large-scale energy storage systems (ESSs) can provide sufficient operating flexibility to mitigate power fluctuations for the shipboard microgrid system. However, the power supply capability of the shipboard battery can significantly vary during actual operation, potentially causing voltage instability in the shipboard microgrid system. This article proposes a large-signal stability analysis method that considers battery dynamics for the shipboard microgrid system. Firstly, a novel full-order shipboard microgrid system model is proposed to comprehensively capture system electrodynamics. Then, conservative stability conditions with battery peak current constraints are derived. Based on these conditions, the influences of battery dynamics on the large-signal stability of the system are revealed for the first time. The results show that the domain of attraction (DOA) of the system varies significantly with different battery states. To verify these influences in the application, a general model predictive control (MPC) method that considers battery dynamics is adopted. The simulation results demonstrate that the direct current (DC) voltage sags can be reduced by 11.27%, and the battery can always operate within a healthy power range.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Industry Applications
Published
2025-03-12
DOI
https://doi.org/10.1109/tia.2025.3550139
Citations
3
Primary Topic
Maritime Transport Emissions and Efficiency
Type
article
Field-Weighted Citation Impact
2.40
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Large-Signal Stability Analysis of All-Electric Ships With Integrated Energy Storage Systems

Guanhong Chen, Yingbing Luo, Ruijin Liao, Jiashen Teh et al.
3 citations
IEEE Transactions on Industry Applications
Maritime Transport Emissions and Efficiency
2.40
article

Large-Signal Stability Analysis of All-Electric Ships With Integrated Energy Storage Systems

Guanhong Chen, Yingbing Luo, Ruijin Liao, Jiashen Teh, Sidun Fang, Litao Zheng, Tao Niu, Yi Su
article en
3 citations

Abstract

All-electric ships (AESs) with efficient direct current (DC) shipboard microgrids become a significant means to reduce carbon emissions. Large-scale energy storage systems (ESSs) can provide sufficient operating flexibility to mitigate power fluctuations for the shipboard microgrid system. However, the power supply capability of the shipboard battery can significantly vary during actual operation, potentially causing voltage instability in the shipboard microgrid system. This article proposes a large-signal stability analysis method that considers battery dynamics for the shipboard microgrid system. Firstly, a novel full-order shipboard microgrid system model is proposed to comprehensively capture system electrodynamics. Then, conservative stability conditions with battery peak current constraints are derived. Based on these conditions, the influences of battery dynamics on the large-signal stability of the system are revealed for the first time. The results show that the domain of attraction (DOA) of the system varies significantly with different battery states. To verify these influences in the application, a general model predictive control (MPC) method that considers battery dynamics is adopted. The simulation results demonstrate that the direct current (DC) voltage sags can be reduced by 11.27%, and the battery can always operate within a healthy power range.

IEEE Transactions on Industry ApplicationsVol. 61(5)
Universiti Sains Malaysia (MY), Chongqing University (CN), Xiangtan University (CN)
Affordable and clean energy
Openalex Percentile: Top 13%
Maritime Transport Emissions and Efficiency
2.40
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.