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作 者:唐若笠[1] 方彦军[2] 孔政敏[2] TANG Ruoli FANG Yanjun KONG Zhengmin(School of Energy and Power Engineering, Wuhan University of Technology, Wuhan 430063, China Department of Automation, Wuhan University, Wuhan 430072, China)
机构地区:[1]武汉理工大学能源与动力工程学院,湖北武汉430063 [2]武汉大学自动化系,湖北武汉430072
出 处:《湖南大学学报(自然科学版)》2017年第4期109-117,共9页Journal of Hunan University:Natural Sciences
基 金:国家自然科学基金资助项目(61201168);中央高校基金科研业务费专项资金资助项目(2017IVA024)~~
摘 要:围绕新能源发电在大型远洋船舶上的大规模接入问题,研究了基于太阳能发电的客货滚装船光伏阵列布局、拓扑结构及最大功率点跟踪(MPPT)模型与算法.结合船舶航行环境与船体结构特点,设计了大规模光伏阵列的船体布局及拓扑结构,建立了以大规模全局优化(LSGO)问题为描述形式的船体区域级MPPT数学模型.此外,提出一种基于环形拓扑的多参考向量协同进化粒子群算法(CCPSO-MR),并成功应用于船用大规模光伏阵列MPPT控制.仿真实验表明,针对LSGO问题的实时求解,CCPSO-MR算法在收敛速度、精度等方面显著优于各主流算法.基于所提阵列结构及MPPT算法,光伏系统能够在客货滚装船上实现大规模接入,并在各类复杂光照航行环境下具有良好的MPPT性能.To introduce the new energy power generation into large ocean-going ship, the topological structure as well as the MPPT model and control algorithm of large-scale photovoltaic array in ro-ro ship was studied. By considering the navigation environment and structural features of large ro-ro ship, the topological structure of large-scale photovoltaic array was designed, and its hull-part-level MPPT model described as the LSGO was also built. Additionally, a cooperatively coevolving particle swarm optimization based on multi-context vectors and ring topological structure (CCPSO-MR) was proposed and applied to the MPPT control of the ship's large-scale photovoltaic array. Simulation results show that the CCPSO-MR performs better than some famous algorithms in convergence speed and accuracy on solving the LSGO problems. With the utilization of the proposed structure and MPPT algorithm, the large-scale photovoltaic system can be introduced into the ocean-going ro-ro ship successfully and works well under complex environmental conditions.
分 类 号:U662[交通运输工程—船舶及航道工程]
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