面向智能电网的配电网多目标动态无功优化分析

《面向智能电网的配电网多目标动态无功优化分析》由会员上传分享，免费在线阅读，更多相关内容在学术论文-天天文库。

1、万方数据华北电力大学硕～}二学位论文AbstractTheReactivePowerOptimizationofdistributionnetworkiSallimportantmethodtoimprovethepowerqualityandsystemstabilityofpowersystem．Itcannotonlyreducethepowerlossofsystem，butalsocanadjustthe鲥dvoltage，SOaStoguaranteethesecurityandstabilityofpowersyst

2、em．Withthespeedingupofthesmartgddprocess，theDistributedGeneration(DG)willplaceinpowersystem，causingcertaininfluencetosystemcurrent，voltage，whichchangesthetraditionalreactivepoweroptimizationofdistributionnetwork。Therefore，underthebackgroundofDG’Sinterconnection，therea

3、ctivepoweroptimizationofdistributionnetworkhasimportantengineeringsignificance．BecauseoftheinterconnectionandrandomnessofDG，traditionalreactivepoweroptimizationmodelisnolongerapplicable．Thereforethispaperproposesanewoptimizationalgorithm．．．．ChaosArtificialBeeColonyDif

4、ferentialEvolution(CABC—DE)algorithm，respectivelyappliesittoamulti-objectivereactivepoweroptimizationmodelincludingDGsandadynamicreactivepoweroptimizationmodelincludingDGs．Specificworkisasfollows：1．Duetothedefectsofprematureconvergence，poorlocalsearchabilityofDE，thisp

5、aperimprovesDEontheideaofartificialcolonyalgorithm(ABC)andChaos(Chaos)，proposestheChaosArtificialBeeColonyDifferentialEvolution(CABC．DE)algorithm．Thenbuildsthemodelthatmakeactivepowerlossminimumasobjectivefunction，appliesCABC—DEandDErespectivelytoIEEE．14andIEEE．30syst

6、emsimulationtoverifythepracticabilityofCABC．DE．Theresultsshowthatthenewalgorithmismoresuitableforreactivepoweroptimizationproblem．2．Studythemulti—objectivereactivepoweroptimizationofdistributionnetworksystemafterDG’Sinterconnection．Inordertoachievethemulti．objectivere

7、activepoweroptimization，thepaperproposesthemulti—objectiveCABC．DEbasedonParetooptimalitytheory．Thenbuildthemodelthatmakesactivepowerlossminimum，voltagedeviationminimum，reactivecompensationminimumasobjectivefunctions．thendoessimulationsonIEEE-30system．Theresultsshowtha

8、tthealgorithmcanobtainuniformdistributionofParetofront，realizestheoptimizationofthreeobjectivefunctions，andsatisfiestherequi