Optimizing Grid Integration of Power-Generating Ships

Motab Almousa and Talal Alharbi ()
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Motab Almousa: Department of Electrical Engineering, College of Engineering, Prince Sattam bin Abdulaziz University, Al-Kharj 11942, Saudi Arabia
Talal Alharbi: Department of Electrical Engineering, College of Engineering, Qassim University, Buraydah 52531, Saudi Arabia

Sustainability, 2025, vol. 17, issue 10, 1-28

Abstract: Power-generating ships (PGSs)are considered some of the largest mobile energy resources. A novel model is proposed in this work to evaluate the integration of PGSs into power grid operations. The proposed model optimally coordinates the ships to enhance grid objectives, providing optimal variables for generation resource scheduling and routing of the ships. Two case studies were used to simulate the system and validate the effectiveness of the proposed model. The proposed model significantly contributes to the field of applied mathematical modeling by developing complex algorithms for scheduling energy generation and addressing the logistical challenges of routing mobile power sources. This dual aspect emphasizes the model’s robustness in handling multidimensional optimization problems inherent in integrating mobile energy resources with static grid systems. Integrating PGSs into power grid operations represents a practical implementation of complex engineering solutions designed to enhance the flexibility and reliability of energy networks. The model not only improves the operational efficiency of the grid but also contributes to the resilience of the energy infrastructure by providing a mobile and adaptable energy resource. This approach exemplifies the potential for innovative engineering solutions to address contemporary challenges in energy distribution, ultimately leading to more sustainable and resilient power systems.

Keywords: grid-connection; maritime transportation; mathematical modeling; optimization; shipboard power systems; shore power supply; smart cities; smart grid (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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