Research on Intelligent Energy Management Algorithm in Green Ship Technology

This article provides an in-depth discussion of innovations in the field of smart energy management for green ships, focusing on the potential of the particle swarm optimization (PSO) algorithm in optimizing ship energy utilization efficiency and improving environmental performance. This research aims to achieve intelligent optimization of energy configuration by building a system that integrates energy distribution, real-time monitoring and dynamic scheduling mechanisms. Utilizing the adaptability of the PSO algorithm, the system can quickly respond to environmental changes and dynamically adjust the energy distribution strategy. The study first outlines the core theory and architecture design of the intelligent energy management system, and then analyzes in detail the application principles of the PSO algorithm in the field of ship energy optimization. By establishing a ship energy management model, an optimization algorithm based on PSO was designed, and the effectiveness and superiority of the algorithm were verified with the help of simulation experiments. Experimental results show that the PSO algorithm significantly reduces energy consumption and improves ship operation efficiency. In addition, data analysis shows that the system shows good adaptability and robustness under various navigation conditions, laying a solid theoretical and technical foundation for future research and practice of smart green ship energy management.