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ID:36359854
大小:3.61 MB
页数:123页
时间:2019-05-10
《用于电力行业决策支持的多AGENT技术研究》由会员上传分享,免费在线阅读,更多相关内容在学术论文-天天文库。
1、华东师范大学博士学位论文用于电力行业决策支持的多AGENT技术研究姓名:王勇申请学位级别:博士专业:系统分析与集成指导教师:黄国兴20070401摘要在分时电价的研究中,提出了基于Agent的分时电价优化模型,在总用电量不变条件下,达到了削峰填谷的目的。在电力负荷预测的研究中,提出了基于Agent的电力负荷预测算法,试验验证这种方法是有效的,并且采用多Agent的原理设计了一个电力负荷预测系统,实现了多种方法的负荷预测。本文的研究得到了上海市重点学科建设项目“电力企业信息化与决策支持”的资助,论文中的相关理论和技术已运用到该项目的
2、研究和开发中。关键词:人工智能,决策支持,多智能代理,电力ⅡABSTRACTDecisionSupportSystemsloss)isallinteractivesoftware.basedsystemintendedtohelpdecisionnlal(erscompileusefulinformationfromrawdatatoidentifyandsolveproblemsandmakedecisions.DSSbeginswithbuildiIlgmodel-drivenDSSinthelate1960s,theoryd
3、evelopmentsinthe1970s,andtheimplementationoffinancialplanningsystemsandgroupDSSintheearlyandmid80s.DatawarehoUSeS.0LAPandBusinessIntelligenceevolvedinthelate1980sandearly1990s.Nowdaysintelligencedecisionsupportsystem(msS)iSanewinformationsystemthatjoinsartificialintel
4、ligencetechnologyintodecisionsupportsystem.Agentistheindependenceintelligencesoftware,whichiSahottopicinthefieldofartificialintelligence.Amulti-agentsystemconsistsofanumberofagents,whichinteractwitheachotheronbehalfofeachagentwithdifferentgoalsandmotivations.Tosuccess
5、fullyinteract,也eywillrequiretheabilitytocooperate,coordinate,andnegotiatewitheachother.ElectricpowerdecisionsupportsystemiSwidelyusedinelectricpowermarkeLdemandsidemanagement(DSM)andelectric10adforecasting.AlthoughelectricpowerDSScallberealizedbyobjectorientedprogramm
6、ingtechnology,AgentOrientendProgramming(AOP)isn’t鹪incommonuseas00PI111eresearchonclassicaldecisionsupportsystemproblemfromAgentlogicstructuretoAgentinformationsystemiSdeficiency.Theresearchwillbehelpfulinelectricpowerdecisionsupportsystem.WeneedtousenewAgenttechnology
7、torealizetheIDSS,maybethetechnologywillbewidelyusedinadvanceddistributedelectricpowerDSSasOOPinthefuture.n壕dissertationfocusesonthetheoriesandmethodsaboutsoRwareintelligenceagent,multi—agentsystemstechnologyinintelligenceDSSandinelectricpowerDSS.n圮maincontributionsoft
8、hisdissertationareasfollows:Firstly,fuzzyreasonlogiconAgentispresented,bywhichpaperdeducedtheprocedureofagentgettingknowledg
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