基于改进PSO算法的光伏阵列MPPT研究*李昂,高春阳,刘文锋,温子洋(陕西理工大学电气工程学院,陕西汉中723000)摘要:由于光伏组件的P-V特性是单峰非线性曲线,由它组成的光伏阵列的发电功率易受温度、光照强度等外界环境因素的影响,导致实际工程中光伏发电效率大大降低,因此追踪最大功率点(MaximumPowerPointTracking,MPPT)使光伏发电系统的发电功率一直处于最大功率点,对提高系统整体的发电效率有着十分重要的意义。引用进化差分算法对传统的粒子群算法(PSO)的寻优过程进行差分进化选择,并将非线性策略与改进后的PSO算法相结合。通过仿真计算分析,改进后的PSO算法相较于传统的PSO算法能够更快速、更准确地找到部分阴影情况下的最大功率点,进而提升了光伏系统的发电效率。关键词:光伏;MPPT;改进PSO算法;部分阴影中图分类号:TM615DOI:10.19768/j.cnki.dgjs.2023.02.007ResearchonMPPTofPhotovoltaicArrayBasedonImprovedPSOAlgorithm*LIAng,GAOChunyang,LIUWenfeng,WENZiyang(SchoolofElectricalEngineering,ShaanxiUniversityofScienceandTechnology,Hanzhong723000,China)Abstract:SincetheP-Vcharacteristicsofphotovoltaicmodulesaresingle-peaknonlinearcurves,thepowergenerationpowerofthephotovoltaicarraycomposedofitisverysusceptibletoexternalenvironmentalfactorssuchastemperatureandlightintensity,whichinturnleadstoasignificantreductionintheefficiencyofphotovoltaicpowergenerationinactualprojects.Therefore,track-ingthemaximumpowerpoint(MPPT)tokeepthegenerationpowerofthephotovoltaicpowergenerationsystematthemaxi-mumpowerpointisofgreatsignificancetoimprovetheoverallgenerationefficiencyofthesystem.Theevolutionarydifferentialalgorithmisusedtoperformdifferentialevolutionaryselectionfortheoptimizationprocessoftraditionalparticleswarmoptimiza-tion(PSO),andthenonlinearstrategyiscombinedwiththeimprovedPSOalgorithm.Throughsimulationcalculationandanaly-sis,theimprovedPSOalgorithmcanfindthemaximumpowerpointinpartialshadowmorequicklyandaccuratelythanthetradi-tionalPSOalgorithm,therebyimprovingthepowergenerationefficiencyofthephotovoltaicsystem.Keywords:photovoltaic;MPPT;improvedPSOalgorithm;partialshading基金项目:陕西省教育厅专项科研计划项目(编号15JK1125)收稿日期:2022...
