火電機(jī)組協(xié)調(diào)控制系統(tǒng)先進(jìn)控制策略及實(shí)現(xiàn)研究的中期報(bào)告_第1頁
火電機(jī)組協(xié)調(diào)控制系統(tǒng)先進(jìn)控制策略及實(shí)現(xiàn)研究的中期報(bào)告_第2頁
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火電機(jī)組協(xié)調(diào)控制系統(tǒng)先進(jìn)控制策略及實(shí)現(xiàn)研究的中期報(bào)告AbstractThisreportpresentstheprogressofourresearchonadvancedcontrolstrategiesandimplementationforcoordinatedcontrolofthermalpowergenerationunits.Theobjectiveofthisresearchistodevelopaneffectivecontrolsystemthatcanimprovetheoveralloperationefficiencyofthermalpowerplants,reduceemissionsandimprovegridstability.Inthisreport,weanalyzethecurrentcontrolsystemsusedinthermalpowerplantsandidentifytheweaknessesofthesesystems.Wethenproposeacoordinatedcontrolsystem,whichintegratesthecontrolofmultipleunits,boilers,turbinesandgenerators.Toensureoptimalperformanceofthesystem,weuseadvancedcontroltechniques,suchasmodelpredictivecontrol(MPC),fuzzylogiccontrol(FLC),andadaptivecontrol.Wealsoproposenoveloptimizationalgorithmsandneuralnetwork-basedmodelstoimprovethesystem’spredictionaccuracyandcontrolperformance.Theproposedsystemistestedonasimulatedthermalpowerplantmodel,andtheresultsdemonstratetheeffectivenessoftheproposedstrategies.IntroductionThermalpowergenerationisoneofthemajorsourcesofelectricityworldwide,accountingforasignificantpercentageoftheglobalenergymix.However,theoperationofthermalpowerplantsischallenging,astheyarecomplexsystemsconsistingofinterconnectedunits,suchasboilers,turbines,andgenerators.Inaddition,thermalpowerplantsaresubjecttovariousconstraints,suchasfuelavailability,emissionsrequirements,andgridstability.Toensureefficientandreliablepowergeneration,itisessentialtodevelopadvancedcontrolsystemsthatcanoptimizetheoperationoftheunitsandensurestableoperationoftheentireplant.Inthisresearch,weaimtodevelopacoordinatedcontrolsystemforthermalpowerplantsthatcaneffectivelyintegratethecontrolofmultipleunitsandoptimizetheirperformance.Theproposedsystemusesadvancedcontroltechniques,suchasMPC,FLC,andadaptivecontrol,toensureaccuratecontroloftheunitsandimprovetheoverallefficiencyoftheplant.CurrentControlSystemsinThermalPowerPlantsInconventionalpowerplants,eachunitiscontrolledindependently,andthereisnocoordinationbetweentheunits.Thecontrolsystemforeachunitisdesignedtoensurestableoperationofthatunitanddoesnottakeintoaccounttheoperationofotherunits.Thisapproachcanleadtosuboptimalperformanceoftheplantanddoesnottakeadvantageofthesynergiesthatcanbeachievedbycoordinatingtheoperationofmultipleunits.AdvancedControlStrategiesforCoordinatedControlToachievecoordinatedcontrolofmultipleunits,weproposeacontrolsystemthatintegratesthecontrolofboilers,turbines,andgenerators.Theproposedsystemusesadvancedcontroltechniques,suchasMPC,FLC,andadaptivecontrol,toensureaccuratecontroloftheunitsandimprovetheoverallefficiencyoftheplant.ModelPredictiveControl(MPC)MPCisamodel-basedcontroltechniquethatusesamathematicalmodeloftheplanttopredictthefuturebehavioroftheplantbasedoncurrentandpastmeasurements.Thepredictedbehavioristhenusedtocalculatetheoptimalcontrolinputsthatwillminimizeaperformancecriterion,suchasfuelconsumptionoremissions.MPCisparticularlysuitedforcontrolproblemsthatinvolveconstraints,suchaslimitsonthepoweroutputorsteamflowrate.FuzzyLogicControl(FLC)FLCisarule-basedcontroltechniquethatcanhandlenonlinearanduncertaincontrolproblems.FLCworksbydefiningasetofrulesthatrelatetheplantinputstotheoutputs.Therulesareexpressedintermsoffuzzylogic,wheretheinputsandoutputsarerepresentedasfuzzyvariables.FLCisparticularlysuitedforcontrolproblemswheretheplantmodelisuncertain,andwherethecontrolobjectivesaredifficulttoexpressinamathematicalform.AdaptiveControlAdaptivecontrolisamodel-basedcontroltechniquethatusesamathematicalmodeloftheplanttoadjustthecontrolinputstocompensateforvariationsintheplantdynamicsoruncertainparameters.Themodeliscontinuallyupdatedbasedonmeasurementsoftheplantandthecontrolinputsareupdatedtoensurethatthemodelpredictionsmatchtheactualbehavioroftheplant.Adaptivecontrolisparticularlysuitedforcontrolproblemswheretheplantdynamicsorparametersaresubjecttosignificantvariations.PerformanceOptimizationandNeuralNetworkModelsTofurtherimprovetheperformanceoftheproposedcontrolsystem,weproposenoveloptimizationalgorithmsandneuralnetwork-basedmodels.Thesetechniquescanhelptoimprovethepredictionaccuracyoftheplantmodelandreducethecomputationalcomplexityofthecontrolsystem.ConclusionThisreportpresentstheprogressofourresearchonadvancedcontrolstrategiesandimplementationforcoordinatedcontrolofthermalpowergenerationunits.Theproposedsystemusesadvancedcontroltechniques,suchasMPC,FLC,andadaptivecontrol,toensureaccuratecontroloftheunitsandimprovetheoverallefficiencyoftheplant.Theproposedsystemistestedonasi

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