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1、重庆大学硕士学位论文英文摘要Duetothehighoptimizationalgorithmconvergenceprecisionandhighefficiencyrequirements,theoptimizationalgorithmconvergenceprecisionandefficiencyisalsohighlyrequired.Becausetheglobalconvergenceandcomputationalefficiencyoftraditionalintelligentoptimizationalgorithmisnotvery
2、good,thepaperintroducesthequantumparticleswarmoptimization(QPSO)algorithm,theadvantagesanddisadvantagesbetweenPSOandQPSOalgorithmarecompared.RespectivelysimulatedthroughtheimprovedIEEE33distributionnetworknodesystem,resultsshowthatQPSOalgorithmconvergenceprecisionandefficiencyisbet
3、terthanPSOalgorithm.Theresearchlaythefoundationforthedynamicreactivepoweroptimization.Oneofthekeyissuesofdynamicreactivepoweroptimizationisspace-timedecoupling.Inspace,resultswillbeimpactbetweencontrolequipment,overtime,themomentinfrontactionornotwillinfluencethemomentbehind.Theref
4、ore,inthepaper,consideringthevoltagelevelandtheactionlimitationofcontrolequipments,underthepremiseoftheresultsofstaticreactivepoweroptimization,considereachperiodaccordingtothestandarddeviationofadjacentcontrolequipmentasthecriteriatojudgewhetheractionornot.Notonlyconsiderthediffer
5、entcontrolequipmentofthecorrelationatthesametime,butalsothesamecontrolequipmentbetweendifferenttime,whenanewcontroldevicesact,dynamiclyadjustthedecisiontable.ProjecttheloaddataofpredictiontotheIEEE33nodessystem,andconductthethesimulationexperiment,theresultsshowsthatthespace-timeco
6、uplingprobleninthedynamicreactivepoweroptimizationiswellsolved,undertheconditionofthepremiseofguaranteeingtheactionnumberconstraints,reducethenetworkloss,ensuresafeandstableoperationofdistributionnetwork,andhaveagoodprospectoftheonlineapplication.Keywords:Short-termloadforcasting,L
7、oaddividing,QPSO,Dynamicreactiveoptimization,dynamicadjutingIV重庆大学硕士学位论文目录目录中文摘要....................................................................................................................I英文摘要.................................................................................
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