电气化铁路牵引负荷的概率分布模型与其应用

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1、西南交通大学硕士研究生学位论文第1I页AbstractAstheelectrifiedrailwaysrapiddevelopmentandthesametimenewelectricrailwayswillproducemanyadverseimpactonthemainsequence，negativeandharmonicspollutiontoqualityofthepowersystem．Contrast、^ritllathree·phasepowersystem．theparticularityofsingle-phaseexch

2、angeelectrifiedrailwaysystemreflectitsspecificstructureandeverylineinthefeeders(phase)ofindependenceandrandomwaveproperties，therefore，basedonthisunfoldingstudythenegativethreetechnicalproblemsofreactivepower,needlesequenceandharmonic．Basedonmasstraction’Sloadtestdata,andgai

3、nedtraction’Sloadprobabilitydensityfunctionbyusingnumericaldefmitionandtheoreticaldistributionfittingmethod．Becauseonlyafewtheoreticaldistributionparametersdeterminedcouldgenerateitsprobabilitydensity,appliedconveniently,incontrasttothethreetheoryfittingresultsofDistributio

4、nmodel诵mBetaDistribution,LognormalDistributionandRaylei曲Distribution,choosetheBetaDistributionwhichhavebestfittingeffecproducedprobabilitydensityfunctionoftraction’Sload，andgivestheconditionsofbetafunctioncanaccuratefittingload．Afterrandomsamplingbycurrenttransformarrayveri

5、fythevalidityofthismethod．DuetothelimitationsofBetaDistributionfunctionfitting，inthispaperusinganumericalwell-definedformalismproducedtraction’Sloadprobabilitydensityandprobabilitydistributionmodel，andfoundtheboundaryconditionsofthenewelectrifiedrailwaytraction’Sloaddistrib

6、utionandexistingelectrifiedrailwaytraction’Sloaddistributionbyclassificationofthecharacteristicparameters，forecaststhenewtractionsubstationfeedercurrentloaddata．Similarlytransformtotractiontransformerprimarysideandproofthevalidityofthismethod．TonewSuiYUlineforexample，combin

7、ed谢tllthepowerline，forecastsChongQinggridlinesnegativesequenceinfluencewiththeparamete．rsofgrid．Datafromtheperspectiveofmeasureddata,studiestheYNdl1andthreephase-twophasebalancetypewiringtractionsubstationofnegativesequencedistributioncharcteristicsandtractiontransformercap

8、acitydistributioncharacteristics，anddrawsaconclusion．KeyWords：Electrifiedrailway：C