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Research Article | Open Access

A collaborative framework for stability-aware expansion planning of offshore AC/DC microgrids with electrified maritime transport

Yangfan LuoAng XuanXinwei Shen( )
Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
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Abstract

Energy-sharing initiatives among offshore microgrids (OMGs) and electric vessel (EV) fleets are anticipated to pave the way toward a highly cost-effective and stable offshore power-transport system. To this end, this study proposes a collaborative framework for stability-aware expansion planning of alternating current/direct current (AC/DC) OMGs and the electrification of maritime passenger transport (MPT). The OMG planning is structured as a three-stage optimization model that enhances economic efficiency and stability by co-optimizing AC/DC retrofit investments, normal operation strategies, and transient responses under N-1 contingency conditions. The MPT electrification model coordinates EV deployment and the retirement of fossil-fueled vessels to determine the optimal composition of hybrid fleets, which provide energy-sharing and flexibility services for OMGs while meeting MPT demands. The two sub-models are further synthesized into a collaborative planning model for OMGs and hybrid vessel fleets through coordinated constraints. By embedding the proposed planning model into the Shapley value approach, a decentralized collaborative framework based on a multi-loop iterative procedure is developed. This framework ensures privacy protection and decision-making independence while capturing the coalition behaviors of all entities. Numerical studies verify the effectiveness of the proposed approach.

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Article number: 9470011

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Cite this article:
Luo Y, Xuan A, Shen X. A collaborative framework for stability-aware expansion planning of offshore AC/DC microgrids with electrified maritime transport. Ocean, 2025, 1(1): 9470011. https://doi.org/10.26599/OCEAN.2025.9470011

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Received: 05 July 2025
Revised: 28 September 2025
Accepted: 14 October 2025
Published: 06 January 2026
© The author(s) 2025. Published by Tsinghua University Press.

This article is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the original author(s) and the source, a link to the license is provided, and any changes made are indicated. See http://creativecommons.org/licenses/by/4.0/