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ID:31980805
大小:10.68 MB
页数:82页
时间:2019-01-30
《基于全网无功优化模型的农村电网无功优化》由会员上传分享,免费在线阅读,更多相关内容在教育资源-天天文库。
1、ABSTRACT————————————————————————————————————————————————————一BASEDONTHEWHOLEGIUDREACTIVEPOWEROPTIMIZATIONMODELOFRURALGRIDREACTIVEPoWEROPTIMIZATIONReactivepoweroptimizationinimprovingthepowergridvoltagequalityandreducethelossofpowergrid,agridrunningsafetyandec
2、onomy.Especiallyformralpo、vergnds,largecovenngareaandattheendofthepowersystem.thenetworklossISsevere,thevoltagequalityisunqualifiediswidespread.Sothestudysiteforreactivepoweroptimizationisofgreatpracticalsignificance.Fortheentirepowersystembetweenthevariousvo
3、ltagelevelsinthepowernet、ⅣorklSinterconnected,interdependent.Reactivepoweroptimization,optimizeanyvoltagelevelwillnecessarilyhaveanimpactonothervoltagelevels.Thetraditionalreactivepoweroptimizationmethodstendtoignorethis,SOthetraditionalreactivepoweroptimizat
4、ionmethodsubjecttofurtherimproveandperfect.Inthispaper,theanalysisofspecificacountywiththeoverallsituationofthegrid,pointedoutthatthecounty’Sexistingdistributionnetwork.ReactivePowerOptimizationofthecounty’Sdistributionnetwork,theintroductionoftheWh01eDiStfib
5、utionNetworkReactivePowerOptimizationofthought,thewh01enetworkreactivepoweroptimizationmathematicalmodel.Reactivepoweroptimizationofthecountygrid,Basedonthegrid”layer,partition”inprinciple,thecounty·sentirepowergriddivisionforhigh,mediumandlowvoltagelevel,and
6、then.bv—optimizationatalllevels,takingintoaccountontheinteractionbetweent11e10werlevel·Foreachvoltagegradearedecomposedintooptimizingtheunitagain,t11roughtheimprovedantcolonyalgorithmtorealizetheoptimizationofeachunitofreactivepoweroptimization.Inthecountydis
7、tributionnetworkreactivepoweroptimizationintheprocess.acCordingtothestructurecharacteristicsofthecountypowergrid,selectthefonⅣardandback删substitutionmethodasgridpowerflowcalculationmethod,througlleachnodereactivechangetOtheinfluenceofnetworkloss,highandlowsen
8、sitivitytoIll华北水利水电大学硕士学位论文reactivepowercompensationlocationchoice,roulettewheeltodeterminethereactivepowercompensationcapacity,improvedantcolonyalgorithmtoachievedoublepopulationoftheent
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