Joint Generation and Voyage Scheduling of All-Electric Ships Considering Power Supply Capacity Constraints

Safely completing voyages is vital for all-electric ships (AESs). However, the existing voyage scheduling methods focus on the generation cost and merely consider the impact of the operation state of the shipboard power system on navigation security. Hence, considering power supply capacity constraints (PSCC), this paper establishes a chance-constrained optimal model for the joint generation and voyage scheduling of AESs. Firstly, considering the N-1 criterion, the linear expressions for PSCC of AESs are expressed based on the interconnection topology of shipboard inverters. Secondly, the explicit chance-constrained expressions for PSCC are established based on the Cornish-Fisher series expansion. Thirdly, a coordinated model is established for joint generation and voyage scheduling and solved by dynamic programming. The actual voyage data are used for simulations, and the results demonstrate the effectiveness of the proposed method.

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Publication Details

Journal
IEEE Transactions on Applied Superconductivity
Published
2024-09-10
DOI
https://doi.org/10.1109/tasc.2024.3456556
Citations
8
Primary Topic
Maritime Transport Emissions and Efficiency
Type
article
Field-Weighted Citation Impact
1.65
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article

Joint Generation and Voyage Scheduling of All-Electric Ships Considering Power Supply Capacity Constraints

Chao Wang, Boxuan Cao, Tiankai Yang
8 citations
IEEE Transactions on Applied Superconductivity
Maritime Transport Emissions and Efficiency
1.65
article

Joint Generation and Voyage Scheduling of All-Electric Ships Considering Power Supply Capacity Constraints

Chao Wang, Boxuan Cao, Tiankai Yang
article en
8 citations

Abstract

Safely completing voyages is vital for all-electric ships (AESs). However, the existing voyage scheduling methods focus on the generation cost and merely consider the impact of the operation state of the shipboard power system on navigation security. Hence, considering power supply capacity constraints (PSCC), this paper establishes a chance-constrained optimal model for the joint generation and voyage scheduling of AESs. Firstly, considering the N-1 criterion, the linear expressions for PSCC of AESs are expressed based on the interconnection topology of shipboard inverters. Secondly, the explicit chance-constrained expressions for PSCC are established based on the Cornish-Fisher series expansion. Thirdly, a coordinated model is established for joint generation and voyage scheduling and solved by dynamic programming. The actual voyage data are used for simulations, and the results demonstrate the effectiveness of the proposed method.

IEEE Transactions on Applied SuperconductivityVol. 34(8)
Dalian Maritime University (CN)
Affordable and clean energy
Openalex Percentile: Top 18%
Maritime Transport Emissions and Efficiency
1.65
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