300 MW机组DEB协调控制系统优化-豆柴文库

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300MW机组DEB协调控制系统优化
Introduction
Thecoordinationcontrolsystemisthekeyelementofapowerplant.Itensuresthesafeandstableoperationofthepowerproductionprocessandmaximizestheefficiencyoftheplant.Thepurposeofthispaperistopresentanoptimizationapproachforthecoordinationcontrolsystemofa300MWunit.Theapproachaimstoenhancetheperformanceofthecontrolsystem,reducetheerrorbetweenset-pointandactualvalue,andimprovetheoverallefficiencyofthepowerplant.
LiteratureReview
TheDEB(DynamicEconomicDispatchwithBypass)algorithmiswidelyusedinthecoordinationcontrolsystemofpowerplants.Thealgorithmaimstominimizethecostoffuelandreducetheenvironmentalpollutioncausedbythepowergenerationprocess.However,theDEBalgorithmhasseveraldrawbacksthataffectitsperformance.Thefirstdrawbackistheinabilitytoadapttosuddenchangesinloaddemand.Theseconddrawbackisthesensitivitytosensornoise.Thethirddrawbackistheoccurrenceofoscillationsandinstabilityofthesystemundercertainconditions.
Toovercomethesedrawbacks,severalresearchershaveproposedoptimizationstrategiesfortheDEBalgorithm.Thesestrategiesincludetheuseofintelligentalgorithmssuchasartificialneuralnetworks(ANNs),fuzzylogic,andgeneticalgorithms.Moreover,theapplicationofmodelpredictivecontrol(MPC)andadaptivecontroltechniqueshasshownpromisingresultsinimprovingtheperformanceoftheDEBalgorithm.
Methodology
Theproposedoptimizationapproachforthecoordinationcontrolsystemofa300MWunitinvolvesthefollowingsteps:
Step1:SystemIdentification
Thesystemidentificationstepinvolvesthedevelopmentofamathematicalmodelforthepowerplant.Themodelmustconsiderallthedynamicaspectsofthesystem,includingtheplant'selectromechanicalcharacteristics,controlcomponents,andexternaldisturbances.
Step2:ControllerDesign
Thecontrollerdesignstepinvolvesselectinganappropriatecontrolstrategythatreducestheerrorbetweenset-pointandactualvalue.Inthisstep,theDEBalgorithmisselectedastheprimarycontrolstrategy,augmentedwithanadaptivecontroltechnique.
Step3:ParameterTuning
TheparametertuningstepaimstooptimizetheperformanceoftheDEBa