新能源船舶混合电力系统容量优化策略

Capacity Optimization Strategy for New Energy Ship Hybrid Power System

在新能源船舶电力系统中,不合理的系统容量分配会引起电网的剧烈波动,能源消耗增多,用电成本增加等不利情况。为保证船体电力系统容量分配合理,能够安全行驶,现提出一种考虑船舶横摇的新能源船舶混合电站系统的优化策略。该策略使用加入遗传算法交叉过程的多目标多约束粒子群算法,在考虑船舶航行时横摇的情况下,对船舶电力系统中柴油机的出力以及储能电池的容量进行优化配置,在保证船舶运行效率的同时,减少电力系统运行成本以及燃油消耗。以某远洋油轮为例,在一个航程内,优化后的船舶混合电站系统在满足用电可靠性的前提下,合理分配各电源出力,显著降低了电力系统的用电成本。

In the new energy ship power system, irrational system capacity allocation will cause severe fluctuations of the power grid, increasing the energy consumption and the cost of electricity. In order to ensure the safe and rational navigation of the ship, an optimization strategy for a new energy ship hybrid power station system considering ship’s sway is proposed. The strategy uses a multi-objective and multi-constrained particle swarm optimization algorithm that incorporates the genetic algorithm’s cross process. Optimizing the output of the diesel engine and the capacity of the energy storage battery in the ship’s power system in consideration of the ship’s sway. At the same time of ensuring the operational efficiency of ships, the power system operating costs and fuel consumption are reduced. Taking an ocean tanker as an example, within a voyage, the optimized marine hybrid power station system satisfies the reliability of power consumption and reasonably allocates the output of each micro power source, which significantly improves the power cost of the power system.