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Powering the Seas: Revolutionizing Shipboard Power Systems with Advanced Control,...
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Powering the Seas: Revolutionizing Shipboard Power Systems with Advanced Control, Alternative Fuels, and Renewable Energy

A special issue of Journal of Marine Science and Engineering (ISSN 2077-1312). This special issue belongs to the section "Ocean Engineering".

Deadline for manuscript submissions: 5 May 2024 | Viewed by 3223

Special Issue Editors

Dr. Jian Shi

E-Mail Website
Guest Editor
Department of Engineering Technology, University of Houston, Houston, TX 77004, USA
Interests: power and energy systems; transportation electrification; deep decarbonization; equity in energy transition; cyber-security of the power grid
Special Issues, Collections and Topics in MDPI journals
Dr. Bowen Xing

E-Mail Website
Guest Editor
College of Engineering Science and Technology, Shanghai Ocean University, Shanghai 201306, China
Interests: unmanned surface vehicles; ship motion control; path planning
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Gino Lim

E-Mail Website
Guest Editor
Department of Industrial Engineering, University of Houston, Houston, TX 77001, USA
Interests: developing optimization techniques (machine learning, robust optimization and stochastic programming) for solving large-scale decision-making problems
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue focuses on “Powering the Seas: Revolutionizing Shipboard Power Systems with Advanced Control, Alternative Fuels, and Renewable Energy”. Facing the challenges of global climate change, the maritime industry has placed greater emphasis on the development and integration of energy-efficient ship power systems, while adopting advanced control strategies to enhance sustainability and performance.

The Special Issue is dedicated to exploring the integration of advanced control techniques, the application of alternative fuels, and the implementation of renewable energy technologies in the maritime field. The submission of high-quality technical papers is particularly welcome, and potential topics include, but are not limited to, the following:

  • Advanced control technologies in shipboard power systems;
  • Mitigation instabilities in marine vessels vis advanced control techniques;
  • Stability analysis and control of shipboard power systems;
  • Potential of biofuels in decarbonizing the maritime Industry;
  • Wave Energy Conversion for Maritime Propulsion;
  • Integration of renewable energy sources in marine propulsion systems;
  • Energy management strategies for marine renewable energy systems;
  • Advanced energy storage systems for marine vehicles;
  • Energy harvesting in marine vehicles.

This Special Issue aims to advance the maritime industry towards the attainment of green and efficient solutions to the challenges of climate change via the performance of in-depth research and the creation of cutting-edge technologies in the related fields.

Dr. Jian Shi
Dr. Bowen Xing
Prof. Dr. Gino Lim
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Marine Science and Engineering is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • shipboard power systems
  • advanced control
  • alternative fuels
  • renewable energy
  • maritime applications
  • energy efficiency
  • resilience
  • stability
  • biofuels
  • liquified natural gas
  • hydrogen fuel
  • solar power
  • wind power
  • wave energy

Published Papers (3 papers)

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Research

19 pages, 6650 KiB  
Article
Stability Analysis in a Direct-Current Shipboard Power System with Parallel Permanent Magnet Synchronous Generators and Supercapacitor Integration
by Qinsheng Yun, Xiangjun Wang, Shenghan Wang, Wei Zhuang and Wanlu Zhu
J. Mar. Sci. Eng. 2024, 12(4), 578; https://doi.org/10.3390/jmse12040578 - 29 Mar 2024
Viewed by 433
Abstract
This paper investigates the small-signal stability of a DC shipboard power system (SPS) with the integration of a supercapacitor. As an efficient energy storage solution, supercapacitors can not only provide rapid energy response to sudden power demand spikes, effectively mitigating load fluctuations, but [...] Read more.
This paper investigates the small-signal stability of a DC shipboard power system (SPS) with the integration of a supercapacitor. As an efficient energy storage solution, supercapacitors can not only provide rapid energy response to sudden power demand spikes, effectively mitigating load fluctuations, but also enhance the system’s resilience to disturbances. In the context of the parallel operation of two Permanent Magnet Synchronous Generators (PMSGs), the inclusion of supercapacitors may alter the system’s dynamic behaviors, thereby affecting its small-signal stability. This paper develops the small-signal model of SPS and explores the small-signal model under various power distribution strategies in the parallel operation of diesel generator sets. Through the calculation of eigenvalues and influence factors, the system’s oscillation modes are analyzed, and key parameters affecting the stability of the DC distribution system are identified. Furthermore, this paper meticulously examines the specific impacts of electrical and control parameter variations on the system’s small-signal stability. Simulation experiments validate the accuracy of the small-signal stability analysis after supercapacitor integration into SPS. Full article
(This article belongs to the Special Issue Powering the Seas: Revolutionizing Shipboard Power Systems with Advanced Control, Alternative Fuels, and Renewable Energy)
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22 pages, 3109 KiB  
Article
Advanced State Estimation Approach for Partially Observable Shipboard Power Systems
by Wanlu Zhu, Tianwen Gu, Jie Wu and Zhengzhuo Liang
J. Mar. Sci. Eng. 2023, 11(12), 2380; https://doi.org/10.3390/jmse11122380 - 18 Dec 2023
Viewed by 706
Abstract
In instances where vessels encounter impacts or other factors leading to communication impairments, the status of electrical equipment becomes inaccessible through standard communication lines for the controllers. Consequently, the shipboard power system enters the partial observable state. Failure to timely ascertain and respond [...] Read more.
In instances where vessels encounter impacts or other factors leading to communication impairments, the status of electrical equipment becomes inaccessible through standard communication lines for the controllers. Consequently, the shipboard power system enters the partial observable state. Failure to timely ascertain and respond to the current state of the shipboard power system with appropriate restorative controls can result in irreversible damages to the electrical infrastructure and potentially precipitate a complete systemic failure. In this paper, an innovative fault-tolerant control and state estimation approach is proposed to address the partial observability problem of shipboard power systems, based on distributed control architecture and hybrid automata modeling, where controllers are unable to fully acquire equipment status due to device failures like sensor malfunctions. This approach infers the overall state of subsystems using data from intact equipment and discrete events from circuit breakers. Through fault-tolerant control techniques, it ensures that the subsystem state avoids invalid regions, effectively preventing the system from entering unhealthy operational states and significantly reducing the risk of performance degradation or systemic collapse due to faults. Simulation results confirm that this approach can quickly and accurately estimate the system’s current state under partial observation, enabling subsequent fault recovery strategies to accurately pinpoint fault locations and identify optimal recovery solutions. Full article
(This article belongs to the Special Issue Powering the Seas: Revolutionizing Shipboard Power Systems with Advanced Control, Alternative Fuels, and Renewable Energy)
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27 pages, 19938 KiB  
Article
Diagnostic Method for Short Circuit Faults at the Generator End of Ship Power Systems Based on MWDN and Deep-Gated RNN-FCN
by Lanyong Zhang, Ziqi Zhang and Huimin Peng
J. Mar. Sci. Eng. 2023, 11(9), 1806; https://doi.org/10.3390/jmse11091806 - 16 Sep 2023
Cited by 2 | Viewed by 951
Abstract
Synchronous generators with three phases are crucial components of modern integrated power systems in ships. These generators provide power for the entire operation of the vessel. Therefore, it is of paramount importance to diagnose short-circuit faults at the generator terminal in the ship’s [...] Read more.
Synchronous generators with three phases are crucial components of modern integrated power systems in ships. These generators provide power for the entire operation of the vessel. Therefore, it is of paramount importance to diagnose short-circuit faults at the generator terminal in the ship’s power system to ensure the safe and stable operation of modern ships. In this study, a generator terminal short-circuit fault diagnosis method is proposed based on a hybrid model that combines the Multi-Level Wavelet Decomposition Network, Deep-Gated Recurrent Neural Network, and Fully Convolutional Network. Firstly, the Multi-Level Wavelet Decomposition Network is used to decompose and denoise the collected electrical signals, thus dividing them into sub-signals and extracting their time-domain and frequency-domain features. Secondly, synthetic oversampling based on Gaussian random variables is employed to address the problem of imbalance between normal data and fault data, resulting in a balanced dataset. Finally, the dataset is fed into the hybrid model of the Deep-Gated Recurrent Neural Network and Fully Convolutional Network for feature extraction and classification of faults, ultimately outputting the fault diagnosis results. To validate the performance of the proposed method, simulations and comparative analysis with other algorithms are conducted on the fault diagnosis method. The proposed algorithm’s accuracy reaches 96.82%, precision reaches 97.35%, and the area under curve reaches 0.85, indicating accurate feature extraction and classification for identifying short-circuit faults at the generator terminals. Full article
(This article belongs to the Special Issue Powering the Seas: Revolutionizing Shipboard Power Systems with Advanced Control, Alternative Fuels, and Renewable Energy)
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Planned Papers

The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.

Title: Battery aging-aware energy management strategy with dual-state feedback to improving life cycle cost in fuel cell marntime vessel
Authors: Liyun Fan

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