大型绿色船舶光伏阵列结构与mppt算法研究

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1、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，研宄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，

2、并在各类复杂光照航行环境下具有良好的MPPT性能.关键词：绿色船舶；光伏阵列；最大功率点跟踪;大规模优化中图分类号：U662文献标志码：AResearchonTopologicalStructureandMPPTAlgorithmofPhotovoltaicArrayinLargeGreenShipTANGRuolil，FANGYanjun2,KONGZhengmin2(1.SchoolofEnergyandPowerEngineering,WuhanUniversityofTechnology，Wuhan430063，China；2.DepartmentofAutomation,Wuhan

3、University，Wuhan430072，China)Abstract：Tointroducethenewenergypowergenerationintolargeocean-goingship，thetopologicalstructureaswellastheMPPTmodelandcontrolalgorithmoflarge-scalephotovoltaicarrayinro-roshipwasstudied.Byconsideringthenavigationenvironmentandstructuralfeaturesoflargero-roship，thetopolo

4、gicalstructureoflarge-scalephotovoltaicarraywasdesigned，anditshull-part-levelMPPTmodeldescribedastheLSGOwasalsobuilt.Additionally,acooperativelycoevolvingparticleswarmoptimizationbasedonmulti-contextvectorsandringtopologicalstructure(CCPSO-MR)wasproposedandappliedtotheMPPTcontroloftheship’slarge-sc

5、alephotovoltaicarray.SimulationresultsshowthattheCCPSO-MRperformsbetterthansomefamousalgorithmsinconvergencespeedandaccuracyonsolvingtheLSGOproblems.WiththeTANGRuolil，FANGYanjun2,KONGZhengmin2(1.SchoolofEnergyandPowerEngineering,WuhanUniversityofTechnology，Wuhan430063，China；2.DepartmentofAutomation

6、,WuhanUniversity，Wuhan430072，China)Abstract：Tointroducethenewenergypowergenerationintolargeocean-goingship，thetopologicalstructureaswellastheMPPTmodelandcontrolalgorithmoflarge-scalephotovoltaicarrayinro-roshipwasstudied.Byconsideringthenavigationenvironmentandstructuralfeaturesoflargero-roship，the

7、topologicalstructureoflarge-scalephotovoltaicarraywasdesigned，anditshull-part-levelMPPTmodeldescribedastheLSGOwasalsobuilt.Additionally,acooperativelycoevolvingparticleswarmoptimizationbasedonmulti-contextv