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1、AbstractInrecentyears,becauseoftheseriousmismatchbetweentheexistingcoalandtheactualneeds,thevarioussourcesofcoal,andtherelativelylargedifferenceinthequalityofcoal,almostallthermalpowerenterprisesinChinaareburningavarietyofmixedcoal.Throughblendingtherawc
2、oal,choosingtheappropriateproportiontoblendingthecoal,makingthequalityofmixedcoaltosuitablefortheoperationoftheboiler,finallytoenhancetheefficiencyofcombustion,toreducethewearofboiler,tolowerthecostsoffuel,andtodecreasetheemissionsofpollutions.Bytheconti
3、nuousresearchofthescientificstaffathomeandabroad,wemadesomeprogress,buttherearesomeproblems,suchasusingthedifferentmodeltoblendingcoal,versatilityisnotstrong,expensiveandsoon.Basedonadetailedanalysisofcurrentbusinessproblemsinapplicationmodelofblendingco
4、al,aimatthetwotypesofcurrentclassicmodels:linearmodelsandnonlinearmodels,thoughacomparativeanalysisinthemeritsofmodelandthecharacteristicsofcoaPsquality,wecanfoundthatthelinearmathematicalmodelismorefavorabletotheoverallprocessofmixingcoal.Thenusingthebl
5、endingcostsastheobjectivefunction,fiveindicatorsofcalorificvalueofasinglecoal,volatilematter,sulfur,MoistureandAshasconstraints,toestablishapracticalblendingoptimizationmodelwithlinearrelationshipinthermalpowerenterprises.BecausePSOalgorithmwithinertiawe
6、ighthasbetterglobalsearchcapability,throughalotofteststoimprovePSOalgorithm,theideaofmajorimprovementsincludingdeformationofalgorithms,mixofalgorithms,discretebinaryandsoon,thespecificimplementationmethodscontainglobaloptimalperturbation,combinationofvar
7、iabilityfactor,settingsofaccuracyandconfirmofinertiaweight,andultimatelyapplytheimprovedparticleswarmalgorithmtosolvethemodel.Experimentalresultsshowthatbychoosingtheappropriatemodelforblending,usingtheimprovedPSOalgorithmtosolve,wecangotaconclusionthatt
8、heblendingproportionofeachunitofcoalisinlinewiththeactualrequirements,andthealgorithmhasahighstabilityandabetteradvantages.Keywords:Rawcoalblending,Coalqualityanalysis,CoalBlendingmodel,PSO摘要IAbstractII1绪论1.1研究目的及意义(1)1.2国
