英文文献阅读笔记

Thedocumentwasfinallyrevisedon2021英文文献阅读笔记英文文献阅读笔记Title：DistributedVirtualInertiaBasedControlofMultiplePhotovoltaicSystemsinAutonomousMicrogridAuthor：Won-SangIm,Member,IEEE,ChengWang,StudentMember,IEEE,WenxinLiu,SeniorMember,IEEE,LimingLiu,SeniorMember,IEEE,andJang-MokKim,Member,IEEESource：IEEE/CAAJOURNALOFAUTOMATICASINICA,VOL.4,NO.3,JULY2017Researchquestion：Sinceanautonomousrenewablemicrogridusuallyhasmuchsmallerinertia,thecontrolsystemmustbeveryfastandaccuratetofightagainstthesmallinertiaanduncertainties.Toreducethedemandingrequirementsoncontrol,thispaperproposestoincreasetheinertiaofphotovoltaic(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 快递客服问题件处理详细方法山木方法pdf计算方法pdf华与华方法下载八字理论方法下载 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：Theinertiaemulationisrealizedbycontrollingthecharging/dischargingofthedirectcurrent(DC)-linkcapacitoroveracertainrangeandadjustingthePVgenerationwhenitisfeasibleand/ornecessary.Bywelldesigningtheinertia,theDC-linkcapacitorparametersandthecontrolrange,thenegativeimpactofinertiaemulationonenergyefficiencycanbereduced.Theproposedalgorithmcanbeintegratedwithdistributedgenerationsettingalgorithmstoimprovedynamicperformanceandlowerimplementationrequirements.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：Inspiteofthedisconnectionformthegridat20sor5%loadincreasechangeat40s,thesystemcanbecontrollabletosatisfythesupply-demand,itisbecauseoftheincreasedsysteminertia.Inthistest,inertiacoefficientHPVfortwoPVsareboth.Ifthetwoinertiacoefficientsarelowerthan4,thesystembecomesunstableafter20s.AsshowninFigs.12(c)and12(d),thetwoPVsystemsaregeneratingtheactivepowersbasedonthevirtualinertiaalgorithmsothatitcanpreventfrequencycollapse.Therefore,theproposedvirtualinertiacontrolcanhelpstabilizingsystemwhentheupper-levelcontrolreferencecannotbedeliveredfrequentlyenough.Fig.12.Activepowerof5RGswiththeproposedalgorithm作者在对比了使用这种新的控制算法前后的仿真波形图之后，得出来此种控制方法在一定的应用范围内，具有更优的控制性能的结论。Discussion/conclusion：Conclusion可以分为以下五个小部分：Restatementsoftheresearchquestion:ThispaperpresentsavirtualinertiacontrolstrategyforPVsystemsinautonomousmicrogrid.ThebasicideaistoadjustgenerationbasedonasimplifiedSGmodel.TheincreasingordecreasingPVsystemgenerationisrealizedbyadjustingtheDC-linkvoltageandPVarrayoutput.Discussionoftheresult:Byintegratingtheproposedsolutionwithapreviouslydevelopeddistributedgradient-basedcoordinationalgorithm,transientperformancecanbeimprovedandthedemandingrequirementonupdatingfrequencycanberelaxed.Significanceoftheresearch:Thesolutionissuitableforautonomousmicrogridswhentheyhavesurplusrenewablegenerationandwhenconsiderationontransientperformanceoutweighsenergyefficiency.ThebasicideacanbeextendedtoothertypesofRGswithDC-linkcapacitors.Limitsoftheresearch:Thesolutiontriestomakemicrogridworklikealargepowergridwithlargeinertia.Thus,itcannotunlockthepotentialsofpowerelectronicsbasedmicrogridintermsofflexibilityandfastresponse.Furtherresearchwork:Futureworkshouldbefocusedondesigningadvancedfastandaccuratemicrogridcontrollers.Tone：weakIndicativesentencepattern：Amodelisdevelopedfora…Theobjectiveof…isto…Accordingto…From…onecanseethat…Theexperimentalresultsrevealthat…Relevancetomystudy：Thedirectionofmyresearchismotorandelectricalappliances.Thecircuittopologyusedinthisdocumentisoneofthemostappliedcircuitstructuresinourelectricalspecialty.Readingthisarticleisveryhelpfulforustomasterthecharacteristicsofthiscircuittopology.Thecontrolmethodproposedinthispaperhasalsosolvedtheproblemofthedifficultcontrolofthemicrogridsystem.Atthesametime,wecanextenditandapplythiscontrolmethodtootherpowergenerationsystems.Thisprovidesanewwayofthinkingforourfutureresearchandstudy.