区域式微网的智能能量管理

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1、万方数据NORTHCHINAELECTRICPOWERUNIVERSITYFigure5—11：BatteryEnergyr96—168)hrsbeforeandafterAIT⋯⋯⋯⋯⋯⋯⋯⋯⋯一41Figure5—12：DispatchimprovementwithAdaptiveIntelligentTechnique⋯⋯⋯⋯⋯．43万方数据NORTHCHnqAELECTRICPOWERUNlVERSITYListofPublicationKeJia,MinezeIyogun木，BohanLiuandTianshuBi‘‘Smart

2、controlforbatteryenergystoragesysteminacommunitygrid”，submittedtotheinternationalconferenceofPOWERCON2014．KeJia,MinezeIyogun，TianshuBi，“Energymanagementwithinacommunitymicro—grid，’’journalpaperispreparingtosubmittotheInternationalJournalofElectricalPower＆Energysystems万方数据

3、NORTHCHINAELECTRICPOWERUNIVERSITYAbstractRenewableEnergySourceofElectricity(RES—E)DistributedGeneratorsarecoupledwithEnergystorageSystemtosupplypowertotheconsumerinamicro-griddistributionnetwork．Thissetuprequireswide—rangeofcontroltoensuresystemsecurity,optimaloperation，e

4、missionreductionandseamlesstransferfromoneoperatingmode(grid-connectedorIsland)totheotherwithoutviolatingsystemconstraintsandregulatoryrequirements．Microgridplaysanimportantroleinsolvingtheenergychallengesofthefuture，asacommunityofresidentialgridhavingrenewableenergysourc

5、esandstoragefacilitywithintheirpremisesisformedwithaimtobringdesiredobjectivestothecustomerandutility．CouplingRES-Etostoragepresentscontrolflexibility,asitsvariableloadsarepresentedtothemicrogridasasinglecontrollableload，byusingavariable—thresholdmethodologypresentedinthi

6、sstudyforcontrolofenergystorageunit，witheachstageofthedecisionmakingforoptimalenergydistributionacrosspeaksadoptingthesmartnessofallAdaptiveIntelligenceTechniqueforefficientpowermanagement．Byapplyingthetechniqueoncollecteddataprofileofsystemvariablessuchastheconsumer’Sloa

7、ddemand，renewableelectricitygenerationandenergyprice，thisthesisseektobringaboutdemandsmoothening，Peakshaving，highRES-Epenetrationandpreventreversepowerflowtothemaingriddistributiontransformer．Keywords：AdaptiveIntelligentTechnique(AIT)，stateofcharge(SoC)，BatteryIndex，Energ

8、ysurplus，Variablethreshold．万方数据NORTHCHINAELECTRICPOWERUNIVERSITY摘要随着电力电子元技术的发展，新能源分布式电源通常与储能元件以及