Title of article :
AxialoffsetcontrolofPWRnuclearreactorcoreusingintelligenttechniquesOriginalResearchArticle
Author/Authors :
MehrdadBoroushaki، نويسنده , , MohammadB.Ghofrani، نويسنده , , CaroLucas، نويسنده , , MohammadJ.Yazdanpanah، نويسنده , , NasserSadati، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2004
Abstract :
ImprovedloadfollowingcapabilityisoneofthemaintechnicalperformancesofadvancedPWR(APWR).Controllingthenuclearreactorcoreduringloadfollowingoperationencounterssomedifficulties.Thesedifficultiesmainlyarisefromnuclearreactorcorelimitationsinlocalpowerpeaking,whilethecoreissubjecttolargeandsharpvariationoflocalpowerdensityduringtransients.Axialoffset(AO)istheparameterusuallyusedtorepresentofcorepowerpeaking,informofapracticalparameter.Thispaper,proposesanewintelligentapproachtoAOcontrolofPWRnuclearreactorscoreduringloadfollowingoperation.Thismethodusesaneuralnetworkmodelofthecoretopredictthedynamicbehaviorofthecoreandafuzzycriticbasedontheoperatorknowledgeandexperienceforthepurposeofdecision-makingduringloadfollowingoperations.Simulationresultsshowthatthismethodcanuseoptimumcontrolrodgroupsmaneuverwithvariableoverlappingandmayimprovethereactorloadfollowingcapability.
Journal title :
Nuclear Engineering and Design Eslah
Journal title :
Nuclear Engineering and Design Eslah