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ID:36633061
大小:2.10 MB
页数:66页
时间:2019-05-13
《智能控制优化理论在火电厂监控信息系统中的应用研究》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、东南大学博士学位论文智能控制优化理论在火电厂监控信息系统中的应用研究姓名:张俊姣申请学位级别:博士专业:动力机械及工程指导教师:林中达20060403AbstractEquipmentsofpowerplantbecametohighparameter,greatcapacityandcomplex.alongwiththedevelopmentofthescienceandtechnology.Theirsafetyandeconomicrunningwillgreatlyaffectthesociety.Accompanywiththereformationoftheeiectricsys
2、tem,eachpowerplantmustattachimportancetosecurityandeconomic,theappearanceofSIS(SupervisoryInformationSystem)isnecessary.Becausethe刚粼nlreandprocedureofthephysicsandchemistryarecomplex,thesubsystemsofSIShavemuchdiscontentOllthemodulesbuildingandtheirrealization.Studiesontheseproblemscanaccelcratetheap
3、plicationofSIS.Themoduleofunitcommitmentisaveryimportantparttotheeconomicrunningofpowerplant.PSO(ParticleSwarmOptimization)algorithmisanevolutionarycomputationtechnique.Itiseasytorealize.ThispaperusedthePSOalgorithmtoresolvetheeconomicdispatchofunitload.Someimprovedmeasureswereputforwardtonlaketheal
4、gorithmregressquickly.Thecontrolloopoptimizationmoduleisanotherimportantparttoensuretheeconomicrunningofpowerplant.ThispapercombinedPSO,fuzzycontrol,feedbackirnnluneandconventionalPID.Anovelmeasul他wasputforward,anditwasapplytothesuperheatedsteamtemperaturesystem.TheSimulationresultsprovethenewmeasur
5、ewasbetterthanthetraditionalPmmeasure.Alongwi血thedevelopmentofthesociety,moreandmoreattentionswere口aidtotheenvironment.Manypowerplantshavepaidmuchfundonthefluegasdesulfuration.Howgvermanyofthetnwasunusablebecauseofthefrequentfault.Thefaultdiagnosismoduleforlimestone/gypsumFGDwasaddedtoSiS,andthestru
6、ctureoftheexpertsystemwasbuilt.11lefaultphenomena,reasonsandhowtodealwitIlthemwereanalyzed.afterconsultingexpertsandhistorydata.Areasoningmodulebasedonfuzzyneuralnetworkwasemployedtoadapttofuzzycharacteristic.TheappearanceoftheSISwasaccommodatedtothereformthatfiommaintenancebasedontimetomaintenanceb
7、asedonstate.Itaccomplishedthestatesupervisoryfunction.Thefaultpredictionmodulewasaddedtothefaultdiagnosisexpertsystem.Themoduleusedthecombiningpredictionbasedonquadrieautoregressionandcubicpolynomial.
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