| 摘要:根据船机桨匹配原理，建立一种基于非支配性优化算法的浪高2 m以上、蒲氏风级5级以上的大风浪海况下的船舶能耗优化灰箱模型。利用案例船过往大风浪海况下的船舶航行数据分别建立船舶油耗的白箱模型与黑箱模型，并将二者联用建立船舶油耗的灰箱模型。采用k-Medoids聚类算法对恶劣海况进行聚类，以船舶主机转速为优化变量，主机油耗和航速为优化目标，针对每种海况对非支配性遗传算法进行优化，获取各级海况下的最佳转速。结果表明，建立的模型在最恶劣的海况下，主机油耗减少21.9%，航速增加16.7%。因此，该模型可在优化恶劣海况下的船舶能效的同时减少航行时间，为实际恶劣海况中的操作提供有效解决方案。 |
| 关键词: 风浪 油耗 海况 转速 |
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| Energy Consumption Optimization of Ship Propulsion Control in High Wind and Wave Environment |
| YANG Zhiyuan,WANG Hao,QU Wendong |
| Merchant Marine College，Shanghai Maritime University，Shanghai 201306，China |
| Abstract:Based on the principle of ship-engine-paddle matching，a gray box model of ship energy consumption optimization under sea conditions with wave height of more than two meters and Beaufort wind magnitude of more than 5 was established based on a non-dominant optimization algorithm.The white box model and black box model of the ship''s fuel consumption were established by the ship''s navigation data under the past sea conditions of big wind wave，and the gray box model of the ship''s fuel consumption was established by combining the two.The k-Medoids clustering algorithm was used to cluster the severe sea conditions，and the speed of the main engine of the ship was used as the optimization variable，and the fuel consumption and speed of the main engine were taken as the optimization goals，and the non-dominant genetic algorithm was optimized for each sea condition，and the optimal speed of each sea condition was obtained.The results show that the model reduces the fuel consumption per nautical mile by 21.9% and increases the speed by 16.7% in the worst sea conditions.Therefore，the proposed model can effectively optimize the energy efficiency of ships in harsh sea conditions and reduce the sailing time，providing an effective solution for operation in actual harsh sea conditions. |
| Key words: wind wave fuel consumption sea condition speed |
