Two-Stage Coordinated Operation of a Green Multi-Energy Ship Microgrid With Underwater Radiated Noise by Distributed Stochastic Approach

Increasing multi-energy coordination in the ship necessitates advanced operation strategies to achieve greenhouse gas reduction and energy efficiency improvement in the maritime industry. However, previous research always overlooks onboard heterogeneous energy carriers and ship power distribution networks (SPDN), as well as underwater radiated noise (URN) generated by ship propellers. This will pose a huge threat to the operational safety of the multi-energy ship microgrids (MESMs) and further harm normal marine life. Hence, this paper formulates a coordinated model for a MESM with combined power, thermal, hydrogen, and freshwater flows. First, the joint energy management and voyage scheduling are modeled for the MESM, considering SPDN constraints and URN limits. Then, a copula-based two-stage operation structure with stochastic programming (SP) and rolling horizon (RH) methods is designed to tackle diverse uncertainties from onboard multi-energy loads and renewable energy. Finally, a progressive hedging (PH) algorithm is developed to support distributed calculation and accelerate the solution. Numerical case studies based on a real voyage in the Nordic countries are used to validate the effectiveness and superiority of the proposed model and method.

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Publication Details

Journal
IEEE Transactions on Smart Grid
Published
2024-10-17
DOI
https://doi.org/10.1109/tsg.2024.3482980
Citations
35
Primary Topic
Maritime Transport Emissions and Efficiency
Type
article
Field-Weighted Citation Impact
7.20

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article

Two-Stage Coordinated Operation of a Green Multi-Energy Ship Microgrid With Underwater Radiated Noise by Distributed Stochastic Approach

Hongming Yang, Zhineng Fei, Liang Du, Ke Meng et al.
35 citations
IEEE Transactions on Smart Grid
Maritime Transport Emissions and Efficiency
7.20
article

Two-Stage Coordinated Operation of a Green Multi-Energy Ship Microgrid With Underwater Radiated Noise by Distributed Stochastic Approach

Hongming Yang, Zhineng Fei, Liang Du, Ke Meng, Zhengmao Li, Josep Maria Guerrero
article en
35 citations

Abstract

Increasing multi-energy coordination in the ship necessitates advanced operation strategies to achieve greenhouse gas reduction and energy efficiency improvement in the maritime industry. However, previous research always overlooks onboard heterogeneous energy carriers and ship power distribution networks (SPDN), as well as underwater radiated noise (URN) generated by ship propellers. This will pose a huge threat to the operational safety of the multi-energy ship microgrids (MESMs) and further harm normal marine life. Hence, this paper formulates a coordinated model for a MESM with combined power, thermal, hydrogen, and freshwater flows. First, the joint energy management and voyage scheduling are modeled for the MESM, considering SPDN constraints and URN limits. Then, a copula-based two-stage operation structure with stochastic programming (SP) and rolling horizon (RH) methods is designed to tackle diverse uncertainties from onboard multi-energy loads and renewable energy. Finally, a progressive hedging (PH) algorithm is developed to support distributed calculation and accelerate the solution. Numerical case studies based on a real voyage in the Nordic countries are used to validate the effectiveness and superiority of the proposed model and method.

IEEE Transactions on Smart GridVol. 16(2)
Changsha University of Science and Technology (CN), Temple University (US), Universitat Politècnica de Catalunya (ES), Aalto University (FI)
National Natural Science Foundation of China, Science and Technology Program of Hunan Province
Affordable and clean energy
Openalex Percentile: Top 2%
Maritime Transport Emissions and Efficiency
7.20
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