基于粒子群算法的电池船运行优化

Optimal Operation of Battery Ship Based on Particle Swarm Optimization

为了缓解化石能源紧缺、减少船舶污染气体排放,构建以大容量储能电池为主动力的绿色船舶,是实现海洋碳达峰与碳中和的关键。将储能技术和电力推进技术引入到船舶电力系统中,形成全电力船舶已逐步成为船舶设计的趋势。利用粒子群优化算法,兼顾船舶多种运行工况,提出一种面向直流全电池船舶运营管理的系统优化方案。为验证所提方法的有效性,选取典型航线,对电池船运行过程中的经济性进行测算。仿真结果表明船载储能系统可以平抑船舶航行时由负荷变化引起的剧烈波动,通过优化电池船的运营管理,在减轻船舶电力系统波动的同时,降低船舶运行过程中的总成本。

In order to alleviate the shortage of fossil energy and reduce pollutant gas,a green ship integrated with high-capacity energy storage battery has become a potential solution to achieve marine carbon peak and carbon neutralization.An all-electric ship has gradually formed the trend of ship design,which consists of energy storage and electric propulsion technology.This paper proposed a particle swarm optimization based ship operations for all-electric DC ship power systems,which takes into account various ship operating conditions.To verify the efficiency of the proposed method,this paper selects a typical navigation route,the economy of marine power system with high-capacity battery is calculated.Simulation results reveal that the dramatic fluctuations caused by the ship loads can be regulated by the on-board battery.Furthermore,not only the total cost but also the greenhouse gas emissions are decreased by optimal operation of battery in the shipboard power system.