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1、⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯最新资料推荐⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯英文文献阅读笔记Title:DistributedVirtualInertiaBasedControlofMultiplePhotovoltaicSystemsinAutonomousMicrogridAuthor:Won-SangIm,Member,IEEE,ChengWang,StudentMember,IEEE,WenxinLiu,SeniorMember,IEEE,LimingLiu,SeniorMember,IEEE,andJang-MokKim,Member
2、,IEEESource:IEEE/CAAJOURNALOFAUTOMATICASINICA,VOL.4,NO.3,JULY2017Researchquestion:Sinceanautonomousrenewablemicrogridusuallyhasmuchsmallerinertia,thecontrolsystemmustbeveryfastandaccuratetofightagainstthesmallinertiaanduncertainties.Toreducethedemandingrequirementsoncontrol,thispaperp
3、roposestoincreasetheinertiaofphotovoltaic(PV)systemthroughinertiaemulation.在摘要中作者简要叙述了本文研究内容即:寻找一种方法来增加PV系统的惯性以降低系统的控制要求。同时,在Introduction部分,作者进一步对研究问题进行了详细的描述。Methods:Theinertiaemulationisrealizedbycontrollingthe1⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯最新资料推荐⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯charging/dischargingofth
4、edirectcurrent(DC)-linkcapacitoroveracertainrangeandadjustingthePVgenerationwhenitisfeasibleand/ornecessary.Bywelldesigningtheinertia,theDC-linkcapacitorparametersandthecontrolrange,thenegativeimpactofinertiaemulationonenergyefficiencycanbereduced.Theproposedalgorithmcanbeintegratedwi
5、thdistributedgenerationsettingalgorithmstoimprovedynamicperformanceandlowerimplementationrequirements.Simulationstudiesdemonstratetheeffectivenessoftheproposedsolution.为了克服系统惯性较低的问题,作者提出了一种新的控制方法,在对此方法进行推导与演算之后又用软件仿真的方式验证了此方法的周期性。Findings/results:Inspiteofthedisconnectionformthegridat
6、20sor5%loadincreasechangeat40s,thesystemcanbecontrollabletosatisfythesupply-demandbalance.Actually,itisbecauseoftheincreasedsysteminertia.Inthistest,inertiacoefficientHPVfortwoPVsareboth4.5.Ifthetwoinertiacoefficientsarelowerthan4,thesystembecomesunstableafter20s.AsshowninFigs.12(c)an
7、d12(d),thetwoPVsystemsaregeneratingtheactivepowersbasedonthevirtualinertiaalgorithmsothatitcanpreventfrequencycollapse.Therefore,theproposedvirtual2⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯最新资料推荐⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯inertiacontrolcanhelpstabilizingsystemwhentheupper-levelcontrolreferencecannotbedelivered
8、frequ