Two-stage coordinated operation of a green multi-energy ship microgrid with underwater radiated noise by distributed stochastic approach

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.

This work was supported in part by the National Natural Science Foundation of China under Grant 71931003, Grant 72061147004, and Grant 72342001; and in part by the Science and Technology Innovation Program of Hunan Province under Grant 2022WZ1004, Grant 2022RC4025, Grant 2023JJ50312, and Grant 2023JJ50010. Paper no. TSG-00700-2024. (Corresponding author: Zhengmao Li.)

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Postprint (published version)