Research on Distributed Microgrid Group Optimization for Ships Based on Optimized Particle Swarm Algorithm

This paper delves into the optimization of ship microgrid scheduling models based on an optimized particle swarm algorithm, aiming to enhance the electrical efficiency of ships, reduce reliance on conventional power units, and rationalize the operation of power systems. Initially, the paper constructs a ship microgrid model that integrates various distributed generation forms and thoroughly analyzes its operational characteristics and costs. Building on this, an improved particle swarm algorithm is introduced to optimize the scheduling of the microgrid, seeking the best capacity configuration and operation strategy to maximize economic and environmental benefits. Finally, simulation analysis was carried out using relevant parameters from a certain sea area in the North Sea. The results show that the improved Particle Swarm Optimization (PSO) can significantly optimize the system operation. The optimized system can flexibly adjust the output of various distributed generation units based on the actual situation and the load demand of the ship, reducing system costs and ensuring the reasonable operation of the ship's microgrid system, providing theoretical guidance for the future design and operation of ship microgrids.