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ID:34223070
大小:4.42 MB
页数:76页
时间:2019-03-04
《孤岛微电网多代理仿真系统设计及能量管理控制策略研究》由会员上传分享,免费在线阅读,更多相关内容在教育资源-天天文库。
1、AbstractWiththeexpansionofthelargescaledistributionnetwork,thedisadvantagesofthetraditionallargepowersystemgraduallyemerge,anditbecomesmoreandmoredifficulttoadapttothehighsecurityandreliabilityofelectricitydemandwhichrisesastheimprovementofpeople’Slivingstandard.Insuchabackground,themicro-grid
2、systemarisesatthehistoricmoment,themicro-gridsystemCanbeusedasapowergridload,orcanentertheislandedmodewiththedisconnectionoflargepower鲥d.Theapplicationofmicro—gridimprovestheoperationefficiencyofpowergridandbringstolifefortheinnovationofthetraditionalpowergrid.Thispaper,onthebasisoffullInvesti
3、gationresearchstatusanddevelopmenttrendofthemicro-grid,studiesthemulti—agentislandedmicro—gridsystemarchitectureandfunctionbasedonthecontractnetprotocol,introducesthekeytechnologiesofthissystem,includingthestructuralcharacteristicsofmulti-agentsystems,thecontractnetprotocolundertheFIPAspecific
4、ationandthetheoryoftokenmechanism.Thispaperdesignsandrealizesanislandedmicro-gridsystembasedonmulti-agent,whichisrealizedbyC++language.ThissystemusesCentOSoperatingsystemassimulationplatform,thecallingbetweenclassesandmulti—threadingtechnologyrealizethecommunicationandcollaborationbetweenAgent
5、s.Thissystemalsocangetthedynamicbalanceindifferenttimesandenvironment,andCanmakethemicro-gridworkinthestateofmaximalbenefitintegrally.It’SconvenienttoaddanagentlocalcontrolmoduletotheoriginalsystembyusingC++class,whichimprovestheopennessandflexibilityofthesystem.Then,studythemicro-gridenergyma
6、nagementstrategy,analyzesandcomparesthreecommonmicro—gridenergymanagementstrategiesofmicro-gridsystemunderdifferentenergymanagementgoalsinparallelmodeandislandmode,focusontheresearchofIslandmicro-gridmultiobjectiveoptimizationalgorithmbasedonmulti-agentandanalyzethefeasibilityoftheuseofgenetic
7、algorithmsinmulti—objectiveoptimizationofmicro-grid.IIIAbstractInthefuture,willfurtherenrichandperfectthefunctionofislandedmicro.gridsystembasedonmulti—agent.ImprovePVandwindpowertomakeitclosetotherealpowerfunction;Addpowerconstructionc
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