数据挖掘及信息融合技术在电网故障信息系统中的应用

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1、上海交通大学硕士学位论文数据挖掘及信息融合技术在电网故障信息系统中的应用姓名：桂强申请学位级别：硕士专业：电力系统及其自动化指导教师：张沛超20070101的故障信息也是大量的，准确有效的故障诊断方法尤为重要。由于故障录波信息在准确性、完备性和容错性等方面有开关量信息无法比拟的优势，本文对基于模拟量的故障诊断方法做了一些研究，提出了只基于本站故障录波信息的输电网故障诊断方法。该方法通过模糊Petri网建模，利用小波技术提取电流突变事件得到Petri网点火序列，并通过上海220kV子网进行仿真验证了该方法的有效性。在此基础上，结合开关量

2、信息，针对多信息源多子站的特点，提出了基于信息融合的分布式故障诊断方法，最后通过典型算例分析验证了方法的准确性。关键词：电力系统，电网故障信息系统，数据挖掘，关联规则，故障录波数据，模糊Petri网，信息融合，故障诊断IIAPPLICATIONOFDATAMININGANDINFORMATIONFUSIONTECHNOLOGIESINPOWERGRIDFAULTINFORMATIONSYSTEMABSTRACTWhenafaultordisturbanceoccursinpowersystem,intelligentelectroni

3、cdevicessuchasmicroprocess-basedprotectiverelaysanddigitalfaultrecorderswillrecordhugeamountofdata.Foreffectiveacquisitionandgooduseofthesedata,powergridfaultinformationsystemshavebeenconstructedinrecentyears.Althoughtheyhavehelpedalot,itisstillpoorinfulluseoffaultdataa

4、ndaccuracyoffaultdiagnosis.Thisthesisisfocusedontheresearchoftheapplicationofdataminingandinformationfusiontechnologiesinpowergridfaultinformationsystem,mainlyfromtwoaspects,oneistheoff-lineanalysis,andtheotheristheon-linefaultdiagnosis.Regardingtheoff-lineanalysis,ther

5、esearchobjectisthehistorialfaultdatacollectedandstoredbypowercompaniesformanyyears.Adatawarehouseatthedispatchcentercanbeestablished,andthedataminingsystemcanthusbebuiltuponit.Byapplyingthesetechnologies,IIIwecanunderstandthedatacomprehensivelyfromnotonlytemporalbutalso

6、spacialaspectsandcanmakefulluseofthem.Theminedknowledgecangivegoodsupporttopowercompanies.Anassociationruleminingsystemwhichisbuiltupontheprotectiverelaytestingdatabaseisdeveolped.Thesystemcandiscovermalfuctionpatternsofrelaywhichcorrelatetheoperatingconditionsofrelaywi

7、threlaymalfuction.Forpowercompanies,thesepatternscanhelptooptimizesettingsofprotectionsystems.Forrelaymanufactoriesandresearchinstitutes,theycanhelptoimprovethedesignoftheprotectionsystemsorboosttheresearchofnewprotectionprinciplesorschemes.Regardingtheon-linefaultdiagn

8、osis,thestudiedobjectistherealtimefaultinformation.Whenafaultoccurs,especiallycomplexfault,theamountoffaultdat