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Research on Energy Regulation and Optimal Operation Strategy of Multi-energy Ship Power Station Based on Improved Particle Swarm Algorithm

This thesis aims at the power station energy regulation and optimal operation strategy of multi-energy ships. Firstly, the energy conversion and coupling model of diesel engine, energy storage, new energy and load is established, and the power distribution of multi-energy ship loads is optimized. The improved particle swarm algorithm is used to optimize the scheduling of multiple diesel generators in the multi-energy ship power station, and a strategy for smoothing the full-cycle power fluctuations of the multi-energy ship based on the virtual battery model is proposed. Finally, the second-order filtering method is used to control the hybrid energy storage system performs real-time power distribution and smooths power fluctuations in the grid. The research results show that the optimized active power loss of the ship’s power system is significantly reduced, which significantly improves the multi-energy ship’s multi-layer architecture and its operating efficiency, and effectively improves the economy, stability and safety of the ship’s power system. It can significantly improve the optimal operation technology and economic operation control mode of multi-energy ships.