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蚁群算法在船舶分布式电源优化配置及并行计算中的应用

Application of ant colony algorithm in optimal allocation and parallel computing of distributed power supply
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摘要 从节能减排的角度出发,对船舶分布式电源进行配置和运行调度。在此过程中,充分考虑船舶电网的损耗、储能、成本等因素,建立2层分布式电源优化模型,并且利用混合蚁群算法对其求解。最后进行对比实验,实验数据表明,本文算法在计算效率和全局搜索方面优越性突出。 From the point of view of energy saving and emission reduction, this paper carried out the allocation and operation scheduling of the distributed power supply. This process was fully considered in the ship power grid loss, energy storage, cost and other factors. 2 layers distributed power optimization model was established. And the hybrid ant colony algorithm was used to solve the problem. Finally, the experiment results showed that the proposed algorithm was superior in computational efficiency and global search.
作者 谢伟增
出处 《舰船科学技术》 北大核心 2017年第2X期25-27,共3页 Ship Science and Technology
关键词 蚁群算法 分布式电源 优化配置 并行计算 ant colony algorithm distributed generation optimal allocation parallel computing
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