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1、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,
2、JULY2017Researchquestion:Sinceanautonomousrenewablemicrogridusuallyhasmuchsmallerinertia,thecontrolsystemmustbeveryfastandaccuratetofightagainstthesmallinertiaanduncertainties.Toreducethedemandingrequirementsoncontrol,thispaperproposestoincreasetheinertiaofphotovoltaic(PV)systemthroughinertiae
3、mulation.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:Theinertiaemulationisrealizedbycontrollingthecharging/dischargingofthedirectcurrent(DC)-linkcapacitoroveracertainrangeandadjustingthePVgenerationwhenitisfeasibleand/ornecessary.Bywelldesigningt
4、heinertia,theDC-linkcapacitorparametersandthecontrolrange,thenegativeimpactofinertiaemulationonenergyefficiencycanbereduced.Theproposedalgorithmcanbeintegratedwithdistributedgenerationsettingalgorithmstoimprovedynamicperformanceandlowerimplementationrequirements.Simulationstudiesdemonstratethe
5、effectivenessoftheproposedsolution.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-demandbalance.Actually,itisbecauseoftheincreasedsysteminertia.Inth
6、istest,inertiacoefficientHPVfortwoPVsareboth4.5.Ifthetwoinertiacoefficientsarelowerthan4,thesystembecomesunstableafter20s.AsshowninFigs.12(c)and12(d),thetwoPVsystemsaregeneratingtheactivepowersbasedonthevirtualinertiaalgorithmsothatitcanpreventfrequencycollapse.Therefore,theproposedvirtualiner
7、tiacontrolcanhelpstabilizingsystemwhentheupper-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:Concl