基于偏差分析和人工智能方法的電廠機爐運行優(yōu)化研究

1、大連理工大學碩士學位論文基于偏差分析和人工智能方法的電廠機爐運行優(yōu)化研究姓名：祝芳申請學位級別：碩士專業(yè)：熱能工程指導(dǎo)教師：李素芬20061201基于偏差分析和人工智能方法的電廠機爐運行優(yōu)化研究StudyonOperationOptimizationofBoilerandTurbineinPowerPlantBasedonDeviationAnalysisandArtificialIntelligenceAbstractDeviatio

2、nAnalysisisalleffectivemethodforpowerunitperformancemonitorb、‘a(chǎn)nalyzingkeyoperationparametersandreducingcontrollablelossaccordingtothedeviationHoweverunreasonablereferencevalueofoperationparameteristhemeanpointofprovidin

3、galimitationforwideapplicationofdeviationanalysis硒eReferencevalueofoperationindicesonenergylossdiagnosisandenergysavinganalysisofpowerunitisdiscussedbasedondeviationanalysis，andamethodofArtificialNeuralNetworkandGeneticA

4、lgorithmsisputforwardwhichUSeSlherealoperationcaseascomparisonstandardratherthanaconceivedidealcageandavoidsthedependenceOllsuspiciousoffdesignmodel1kSelfOrganizationFeatureMaDandBPneuralnetworkmodelsforboilerefficiencyc

5、oalconsumptionofelectrlc／tyandheatconsumptionrateofsteamturbineundersteadyoperationatoadoptedforsimulationbasedonHuanengDalianPowerPlantcollectedbyDCSsystemandmostellOrsbetweenthepredictedandactualvaluesarelessthan2％Wi也t

6、heaidofSOFM’SabilityinclusteringthelimitationofconventionalcollectionoftrainingsamplesareaddressedWiththeestablishedmodelsoperationparametersunderdifferentconditionsaresimlllatedandassociatedwithGeneticAlgorithmstosearch

7、theoptimizedvaluesandobtaintheenergylosscausedbythedeviationofoperationparameters田地neuralnetworkmodelsforsteamturbinepoweroutputandpowerneededincyclecoolingwatersystemareestablishedfortherefercncevaluesofvacuumvalueofcon

8、denserandhaveahighprecisionandreliabilityWiththeestabtishedmodel，theoptimizationmodelofcondenserisproposedtodeterminethebestvaclmmvalueofcondenserandenergylossresultedbydeviationof齜lmemainoperationparameters，reducetheene

9、rgylossbyoptimizethecontrollableparametersComparedwithconventionalmodelstheestablishedmodelshavetheadvantageofpertinencetotheactualequipmentandtakenonlinearintheparameterandcouplingintoaccountprovidethecrediblefoundation

10、sforparametersonlinemonitoringenergyconsumptionanalysis，operationadviceandequipmentmanagement，whichbenefittoenergysavingandmanagementlevelincreasinginpowerplantKeyWords：DeviationAnalysis：ReferenceValue；ArtificialIntellig