Dynamic Route Optimization for Energy Storage and Exchange Vessels in Oceanic Island Groups Based on an Improved Particle Swarm Optimization

Oceanic-island groups are crucial to national marine strategy. To address mismatches between energy demand and renewable supply, where traditional energy solutions fall short, this paper introduces a multi-island cooperative model using shared inter-island electric vessels (SIEVs). By classifying islands into resource-rich and load-center types, SIEVs optimize energy transfer and collection across islands while also providing passenger transport, thus enhancing overall energy and transportation efficiency. An inter-island spatiotemporal optimization model, driven by an improved particle swarm algorithm, maximizes energy collection. Simulation results highlight the model's economic and sustainable benefits, offering a practical solution for optimized energy supply within island groups.

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Published
2024-11-29
DOI
https://doi.org/10.1109/ei264398.2024.10991524
Primary Topic
Maritime Ports and Logistics
Type
article
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article

Dynamic Route Optimization for Energy Storage and Exchange Vessels in Oceanic Island Groups Based on an Improved Particle Swarm Optimization

Zihe Yang, Bei Wu, Z. Zhan
Maritime Ports and Logistics
article

Dynamic Route Optimization for Energy Storage and Exchange Vessels in Oceanic Island Groups Based on an Improved Particle Swarm Optimization

Zihe Yang, Bei Wu, Z. Zhan
article en

Abstract

Oceanic-island groups are crucial to national marine strategy. To address mismatches between energy demand and renewable supply, where traditional energy solutions fall short, this paper introduces a multi-island cooperative model using shared inter-island electric vessels (SIEVs). By classifying islands into resource-rich and load-center types, SIEVs optimize energy transfer and collection across islands while also providing passenger transport, thus enhancing overall energy and transportation efficiency. An inter-island spatiotemporal optimization model, driven by an improved particle swarm algorithm, maximizes energy collection. Simulation results highlight the model's economic and sustainable benefits, offering a practical solution for optimized energy supply within island groups.

Huazhong University of Science and Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 56%
Maritime Ports and Logistics
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Dynamic Route Optimization for Energy Storage and Exchange Vessels in Oceanic Island Groups Based on an Improved Particle Swarm Optimization — Zihe Yang, Bei Wu, et al. · (2024) | TGRS Research Map | TGRS