配电系统无功补偿装置中英文对照外文翻译文献

中英文对照外文翻译(文档含英文原文和中文翻译)外文翻译（译文）11-OptimizationofreactivepowercompensationindistributionsystemThereactivepowercompensationfordistributionnetwork,asthesupplementofsubstationcompensationcaneffectivelyimprovethepowerfactor,reducelineloss,improvetheendvoltage,ensurethequalityofpowersupply,alsobringgoodeconomicbenefitsforenterprise,hasreceivedextensiveattention.Thedistributedreactivecompensation,installingpowercapacitorsonfeeders,isthemaindistributionnetworkcompensationmodeathomeandabroad[1],butdifferentinstalledlocationanddifferentinstalledcapacity,thebenefitisdifferent.Withtheapplicationofreactivepowercompensationdistributionincreasegradually,howtochooseappropriatereactivecompensationlocationandcompensationcapacitytomakethemaximumbenefitwithlesscostbecomepeople'sresearchtarget.Andtheoptimizationofdistributedreactivecompensationofdistributionnetworkwasraised.Atpresent,thedecisionofthebestcompensationcapacityandthebestpositioninactualdistributionreactivecompensation,usuallyinaccordancewithidealsituations,suchas,thereactiveloadalongtheroaddistributeduniformly,increasing,diminishingdistributionorasisoscelesdistribution,andsoon[2],[9].Thismethodhasclearresults,simplecalculation,andhasacertainengineeringpracticalvalue.Buttheactualreactiveloaddistributionismorecomplex,whichisdifferentfromtheidealsituation.So,inaccordancewithidealsituationstopremisereactivecompensationconfigurationoptimizationformulamaybenotsatisfied.Tostudyamoregeneraldistributedreactivecompensationconfigurationoptimizedmethodisneeded.Thispaperstudiesseveralkindsoftypicaloptimalallocationofreactivecompensationconfigurationwithidealloaddistribution.Thenitdetailsthedistributedreactivecompensationoptimizedmathematicalmodel,whichisappliedtoanyloaddistributionordistributionnetworkstructure,andgivestheeffectivealgorithm.Atlast,thepaperintroducesthepracticalapplicationoftheresearchofthemodelandthealgorithm.Theidealloaddistributionisreferstothereactivepowerloaddistributedalongthelinemeetakindofidealregulardistribution,forexample,inanypointtheroadreactiveloadisequal,nameduniformdistribution,thereactiveloadfromthefirstendincreasingordecreasing,namedincreasingordecreasingdistribution,andsoon.Thisisanabstractoftheactualloaddistribution,andinsuchahypothesispremisetheanalyticalexpressionsoftheoptimallocationandcapacitycanbededuced,whichcangetthebestreducelosseffect.AndtheresultsareshowedinTableIandFig1,whichcanbechoseinpracticalprojects[3],[4],[6].Whentheactualpowerdistributionisdifferentfromtheidealsituation,usingtheresultstoguidethereactivecompensationconfiguration,theeffectmaybenotbeautiful.Itneedstostudyamoregeneralreactivecompensationconfigurationoptimizedmethod.Theoptimizationofdistributionnetworkdistributedreactivecompensationisdistributedasamixedintegernonlinearoptimizationproblems,whichistodeterminethereactivecompensationpositionandcapacitywithsomeconstraints[5].Therefore,thecompensationpositionandcapacityarethetwodecisionvariables.Itsmathematicalmodelisatwolayersoptimizedproblemwithconstraint.Firstisthecapacityoptimizationatdeterminedlocation,secondisthedistributionoptimization.Basedontheoptimizationmathematicalmodelandalgorithm,thecorrespondinggraphicalcalculationsoftwarehasbeendeveloped.Withtheoptimizationresults,somepowercapacitorsareinstalledontenlOkVruralfeederswhichhadlowerpowerfactorandhigherlineloss.Andtheactualoperationshowedgoodeffect.AsshowninFig3andTableII,itistheoptimizationofafeedernamedCHANG7.thetotallengthis22.35km,theconductortypeoftrunklineisLGJ-120，withadistributioncapacityof4760kVA.Theactivepowerwas1904kW,andthepowerfactorwas0.83.Theobjectivepowerfactorwassetat0.9,sothereactivecompensationtotalcapacitywas358kvar.Theparametersincludinglengthandconductortypeofeachsection,nameplateparametersoftransformers,andthereactivecompensationtotalcapacityweresetinthegraphicalsoftware.Yet,thegraphofthefeederhadbeendrawntoo.Thentheresultsweremarkedonthefeedergraphautomatically,suchasFig.3.AsshowninTableII,theorylinelossrategotanobvious0.4149percentsdecrement,ifreactivecompensationdeviceswereinstalled.Also,undertheconditionoftotalcapacity,twoinstallationsmade0.007percentlowerthanone,andthreepointsinstallationmade0.0003percentlowerthantwo.Thenmorecompensationinstallationsgotmoredecrementoftheorylinelossrate,butthedecreasingratebecomeinconspicuous,Incontrast,equipmentmaintenancecostincreasedalot.Therefore,twoinstallationswereselectedonCHANG7feederatlast.Thisworkprovidesscientificandreasonabletheoryforreactivepoweroptimizationofdistributionnetwork,andgivesareferenceforthedistributionnetworklosscalculation.Also,itprovidestheconvenienceforimprovingthequalityofvoltage,energysavingandimprovinglinelossmanagementlevel.1)Forsolvingdistributionnetworkreactivepoweroptimizationproblem,thispaperputsforwardthedoubleoptimizationmathematicalmodelofdistributionnetworkdistributedreactivecompensation,theinneriscompensationcapacityoptimization,theouterlayeristhereactivecompensationdistributionoptimization.Themodelcandodistributionreactivecompensationoptimizationwithanyloaddistributionandarbitrarydistributionnetworkstructureforms.2)ByintroducingLagrangemultiplierandthenecessaryconditionofextreme,themixedintegernonlinearoptimizationproblemisdeducedtoalinearonethatcanbeeasilysolvedbyGaussianeliminationmethod.Itisveryimpleandefficientforcomputerprogramming.3)Themodelandthealgorithmcangivedifferentoptimizedresultsandlossreductionfordifferentnumberofcapacitorinstallation.Engineeringpracticeshowedthatoptimizedcapacitorsinstallationcanmakelinelossrategetanobviousdecrement.Thisresearchplaysanimportantroleintheactualreactivecompensationequipmentinstallationofdistributionnetworkandlinelossmanagement.ReasonablereactivepowersourcescompensationofruralsubstationshasbeenbecomingahotissuesinceChineseruralelectricnetworkalteration.TheprincipalreactivepowercompensationmodeofruralsubstationsisstillusingfixedcompensationcapacitortocontrolvoltageandreactivepoweratpresentinChina.Thiscompensationmodehassomeproblems.suchascapacityadjustmentrequiresmanualinterventionunderpoweroutage,thephenomenonofoverandundercompensationmayalwayshappen,therateofputtingintooperationofreactivepowercompensationisrelativelylow,andsoon.Atthesametime,thereisnosamplingfunctionattheprimarysideofthemaintransformerbecauseofthespecialdevicesinruralsubstations.Inordertorealizetheobjectivesthatthepowerfactorisnotlessthan0.95atprimarysideandnotlessthan0.9atsecondarysideatthehighestload,inthispaper,someoptimalreactivepowercontrolstrategiesforruralsubstationwereproposed.Inaccordancewiththereactivepowerflowconditionsoftheruraldistributionnetwork,theprosandconsoftwocontrolstrategieswereanalyzed.Oneofthestrategieswassamplingattheprimarysideofthemaintransformer,theotherwassamplingatthesecondarysideandswitchingcontrolbypowerfactorofsecondaryside.Aftercomparisonofsuchanalysis,anoptimalcontrolstrategywasproposed.Thedataweresampledinthesubstationsecondaryside,thenthesampleddatawereevaluatedinequivalencetotheprimaryside,andthenthepowerfactorassessmentcriteriaofprimarysidewereusedtocontrolcapacitorswitching.Thecompensationcapacityshouldbecalculatedafterelectricmotorcompensation,transformercompensationanddistributedcompensationondistributionline.Thesampledvaluesatsecondarysideandactivelossandreactivelossofthemaintransformerwereusedtocalculatecompensationcapacitytomeetthepowerfactorobjectivesofprimaryside.ThroughtheexamplecalculationandanalysibyApplyingactualsubstationdataaresultwereobtained.Theresultmetappraisalstandardsandthepowerfactorofmaintransformerprimarysidewasabove0.95atthehighestload.Ifthepowerfactorofmaintransformersecondarysidewasabove0.98,therewasnoneedtocompensateforsubstation.Ifthepowerfactorofmaintransformersecondarysidewasunder0.97,afterthecompensationbyusingtheproposedoptimalcompensationcapacityandtheprimarysidepowerfactorcontrolmethod,thepowerfactorofthemaintransformersecondarysidewasnotlessthan0.98andtheprimarysidereaches0.95.Theseresultsshowthattheproposedoptimalcontrolstrategyandcompensationcapacitycalculationmethodarefeasible,andtheresearchhaspracticalsignificanceofmakingfulluseofreactivepowersupplyinruraldistributionnetwork.Optimalallocationofreactivepowercompensationplaysanimportantroleinpowersystemplanninganddesign.However,asanon-linear,largescalecombinatorial.optimizationproblem,Conventionalmethodsarenotnormallyappropriateforit.Amathematicalmodelisfirstlypresentedinthispaperforcomprehensiveoptimalconfigurationindistributionfeedersbasedontheanalysisofengineeringfactorsofreactivepowercompensation,whoseobjectiveistominimizetheannualexpenditureinvolvingthedevicesinvestmentandtheincomeofenergysaving,andsatisfyallsortsofoperation，fixingandmaintenanceconstrains.Thecontrolvariableincludethecapacitorbanks’numberandcapacityofvariouscompensationschemes.RARW-GAalgorithmisadoptedtosolvethisproblem.TheresultofcalculationandanalysisofBenXiSteelgroupcorporationpowersystemshowsthattheproposedmethodisfeasibleandeffective.AnimprovedTSalgorithmisputforwardontheconditionthatreactivepowercompensationlocationandcapacityhavebeenidentifiedinruraldistributionlines.TheAlgorithmisbasedoncapacitoroptimalon-offmodelaimedataminimumnetworkloss,itcancontrolthecapacitoron-offaccordingtotheloadchangingandthesystemoperationstatusandkeepreal-timevoltagequalifiedandnetworklossminimum.Adistributedcontrolsystemisdesignedbyusingthealgorithmtorealizereactivepoweroptimization,whichiscomposedofreactivepoweroptimalterminalsandbackgroundcontrolcenter.Theterminalisinchargeofdatacollectionandtransmission,on-offinstructionreceivingandexecuting.Thecontrolcenterininchargeofreceivingdatafromeverycompensationpoint,callingcontrolalgorithmtoprocessdata,formingandsendinginstructions.GPRStechnologyisadoptedtorealizethesystem’sforeground-backgroundcommunication.Theactualapplicationinsomeexperimentalnetworkshasprovedthatthesystemcanrealizeglobaloptimalcontrolfordistributionlines,andissuitabletobewidelyusedinruraldistributionnetwork.Inordertosolvetheoptimizationofdistributionreactivecompensationpointandcapacity,adoubleoptimizedmodelisproposed,whichissuiableforreactivecompensationoptimizationwithrandomloaddistributionorrandomnetworkstructure.Forthecompensationpositionandcapacitydecisionvariables,theoptimizedmodelisdescribedastwolayersofoptimizationwithconstraint.Theouteroneisthecapacityoptimizationatdeterminedlocation,andtheinlayeristhelocationoptimization.ByintroducingLagrangemultiplier,themixedintegernonlinearoptimizationisdeducedtoalinearonethatcanbeeasilysolvebyGaussianeliminationmethod.Forillustration,anapplicationoften10kVruralfeedersisutilizedtoshowthefeasibilityofthedoubleoptimizedmodelinsolvingtheoptimizationofdistributionreactivecompensationpointandcapacity.Empiricalresultsshowthatthemodelcangivetheoptimizedresultfordifferentnumberofcapacitorinstalla-tion,andtheresultwithhighestlinelossdecrementwillbeusedasthefinaldecision.TheresearchprovidesscientifictheoreticalbasisforReactivecompensationandplaysavitalroleinreactivecompensationequipmentinstallationandlinelossmanagement.Takingaccountofthemutualimpactsofdistributedgenerationandreactivepower,todeterminetheoptimalpositionandcapacityofthecompensationdevicetobeinstalled,thepaperproposedanimprovedTabusearchalgorithmforreactivepoweroptimiza-tion.ThevoltagequalityisconsideredofthemodelusingminimumnetworkactivepowerlossasobjectiveFunction.Itisachievedbymaintainingthewholesystempowerlossaminimumtherebyreducingcostallocation.OnthebasisofgeneralTabusearchalgorithm,thealgorithmusedmemoryguidancesearchstrategytofocusonsearchingforalocaloptimumvalue,avoidaglobalsearchblindness.Todealwiththeneighborhoodsolutionsetproperlyorsavealgorithmstoragespace,somecorrespondingimprovmentsaremade,thus,itiseasilytostoptheiterationofpartialoptimizationanditismoreprobabletoachievetheglobaloptimizationbyuseoftheimprovedalgorithm.SimulationsarecarriedoutonstandardIEEE33testsystemandresultsarepresented.SupSuperconductingMagneticEnergyStorageSMES)caninjectorabsorbrealandreactivepowertoorfromapowersystemataveryfastrateonarepetitivebasis.ThesecharacteristicsmaketheapplicationofSMESidealfortransmissiongridcontrolandstabilityenhancement.SuperconductingMagneticEnergyStorageSMES)isanattractiveapparatusforsomepowersystemapplicationsbecauseitiscapableoflevelingloaddemandwithhighefficiency,compensatingforloadchanges,maintainingabusvoltage,andstabilizingpowerswings.Powersystemstabilityproblemshaveattractedtheattentionofpowersystemengineersforseveraldecades.Considerableprogresshasbeenmadeonexcitationcontrol,governorcontrol,controlbystaticvarcompensator,etc.Modernpowersystems,whicharegrowinginsizeandcomplexity,arecharacterizedbylongdistancebulkpowertransmissionsandwideareainterconnections.Insuchpowersystems,undampedpowerswingsoflowfrequencycanoccur.Thiscanbeaseriousproblemsincetheinstabilityoftendecreasesthepowertransmissioncapacity.Asaresult,thepowerthatcanbetransmittedinsteadystateandtransientsituationsislimited.Ifthelimitisexceeded,thegeneratorlosessynchronousoperationandsysteminstabilitiesoccur.SMESmaybeaneffectivemeansofpreventingtheseinstabilities,therebymaximizingpowertransfertomeetincreasedloaddemand.ASMESsystemcanberepresentedindynamicsimulationsasacontinuouscontrollablerealandreactivepowersource.Insteady-statesimulations,SMEScanberepresentedasacontinuouscontrollablereactivepowersourcesinceitcancontinuouslyoperatethroughoutitsrangeofreactivepower.However,theoutputofrealpowerfromaSMESdeviceislimitedtotheamountofenergystoredinthecoil.Thefirstobjectiveofthisresearchistodeterminetheoptimalinternalcontrolschemeneededtodecidethecontrollableactiveandreactivepowerbasedonactiveandreactivepowerdemandedbythepowersystem.ThesecondobjectiveistodesignandsimulateSMESexternalcontrolmodelswhicharedependentonthenetworkconfiguration.ThethirdobjectiveistodeterminehowtheoptimalsizeofaSMESdevicevariesforagiventransientstabilitydisturbancewhenalternativeinternalcontrolmodelsandexternalcontrolmodelsareused.Withabignumberofelectricenergyconsumersanddifferentcharacterselectricenergyqualitydependsonmanyfactorsinthemodernpowernetworks.Itincludes:powernetworksandworkingconditionfactorsofconsumers.Oneofthemisthepossibilityofreactivepowerbalanceswithanimportantreserveprovidingafteremergencymodesonthebasicknotsofthepowersystemandvoltageregulationonallnetworks.Asthelengthofnetworksofapowersystemincreasesinmodernconditions,wecanreducethereactivepowerstreams,aswellasoperationalandcapitalexpenses.Rationalvoltagemodebringstothefrontplanthetechnical一economicaspectsofthepowertransmissionEFFICIENCY.Analysesandeconomiccalculationsshowthattransferringthereactivepowerbyshortlengthlinesmeansofahighvoltagejustifies.Thereforeinmostcasesreductionofreactivepowertotheminimumisveryeffectiveforeconomicallywhenthesourcesofreactivepowersettledownneartheconsumptioncenters.Theincreaseofconsumerloadinganditsstructurequalitativecausesconsiderableincreaseofreactivepowerandconstantreductionofapowerfactorindistributedpowernetworks[1」.Thus,thetendencyofmodernpowersystemsdevelopmentischaracterizedbyonesidewiththeincreaseofreactivepowerconsumption(insomesystemsto1kVAR/kVt),ontheothersidewithdecreaseofpowerplantgeneratorsusageexpediencyandpossibilityforthereactivepowercompensationpurpose[2-5].Insuchconditionsreactivepowercompensationattainsaspecialurgency.Heretheoptimization'sprimarygoalisoptimumplacingofreactivepowersourcesandsupportofanecessaryreserveofcapacityQreZforvoltageregulationonloadingknot.Forexample,Polishpowerengineersconsiderthatcapacityofcompensatorsshouldbe50%oftheestablishedcapacityofgeneratorsinpowerplants.InFrance,SwedenandGermanythecapacityofcompensatorsis35%ofactivepeakloading,intheUSAandJapanthisvolumeis70%.IndifferentpowersystemsoftheUSAtheestablishedcapacityofcompensatorsis100%ofgeneratorscapacities[6-11].Reactivepowercompensationproblemisamultidimensionalproblemonthetechnicalandeconomicaspectsandconsequentlyitisresultedwiththefindingofaglobalextremumofcriterionfunctionwiththesetoflocalextreme.Inthisarticlethevoltagesupportwithinthetechnicalrestrictionsanddefinitionofoptimalplacingofthereactivepowersourceswithatechniqueofmulti-purposeoptimizationofreactivepowerinthepowersystemisconsidered.Bytheproblemconsiderationasone-targetoptimizationwithinrestrictionsthecriterionfunctionisalinearcombinationfromseveralfactors.Theproblemdecisionisauniqueoptimumversionandhaslacksofalternativeversions,andthereisnotdependencyofanendresultfromtheinitialdata.Thus,thepurposeofreactivepowersourcesoptimalplacinginapowersystemconsistsofincreasethequalityofvoltageinallcentralpointsofanetwork,controlthestabilityofthesystem,reducethepowerlossesandcapacitiesinnetworks.Asaresultthesewillincreasetheeconomicefficiencyinthepowersystem.Fromtheeconomicefficiencypointofviewthenewcompensatingunitsintendedforinstallationshouldbeprovedandgivencorrespondingoptimumrecommendations.1.Methodsandmulti-purposeoptimizationcompensationsalgorithmshavebeendevelopedwithsupportofanecessaryreserveforpreservationofnormallevelofvoltagetakingintoaccounttechnicalrestrictionsinknotsofanelectricnetworkofapowersystem.Resultsofcomputerizationtorealizationhaveshownspeedandhighefficiencythedevelopedalgorithmprovidingminimizationoflossesofactivecapacityinanet.2.Basedongeneticalgorithmthepowerandinstallationlocationsofthestaticcapacitorbankswiththemulticriteriaoptimizationtechniquehasgiven.Inthiscase,asacriterionofoptimalitytheminimumexpensesfortheinstallationandexploitation,theminimizationofpowerlossesduringtherequiredvaluesofvoltageandpowerfactorandmaximumsavingandtheminimumself-paymenttermareaccepted.3.Thereportoftherealelectricitynetworkisgivenfortwocases:operationwithouttheCB;withoptimalplacementofCB.Theapplicationoftheproposedmethodcanreducetheaveragepowerlossesapproximately13一14%intheelectricnetwork.配电系统无功补偿装置容量优化配电网无功补偿，作为补充的变电站补偿可以有效地提高功率因数，减少线路损耗，提高末端电压，保证供电质量，也能带来良好的企业的经济效益，已得到泛的注意。分布式无功补偿，安装馈线上的电容器，是主要的配电网国内外薪酬模式，但不同安装位置和不同的装机容量，效益是不同的。无功功率的应用补偿分配逐渐增多，如何选择适当的无功补偿位置和补偿能力，使利益最大化成为人们的研究目标。由分布式无功补偿的优化提出分配网络。目前，在实际配电网中决定的最佳补偿能力的最佳位置补偿，通常按照理想情况，如沿道路分布的无功负荷均匀增加，递减分布或等腰三角形分布等。该方法具有效果清楚，计算简单，并具有一定的工程实用价值。但实际无功负荷分布更为复杂，不同于理想的情况下。所以，按照理想情况来配置无功补偿优化方案可能不满意。学习了解更一般的分布式无功补偿配置优化方法是必要的。本文研究了几种典型的优化方法：首先按照理想的无功补偿配置的配置负荷分配。然后详细介绍了分布式的无功补偿优化数学模型适用于任何负荷分配或配电网络结构，并给出了有效的算法。最后，论文介绍了研究的实际应用模型与算法。理想的负荷分配是指无功功率沿线路荷载分布符合一种理想的规则。例如，在任何一点的道路的无功负荷分配是相等的，被命名为均匀分布，无功负荷第一端增加或减少，命名为增加或在实际项目中选择。当实际的功率分配是不同的理想的情况下，使用结果来指导无功补偿配置，效果可能不明显。它需要研究一种更为一般的无功补偿优化配置方法。减少分布等。这是一个抽象的实际载荷分布，在这样的假设前提下最佳位置和容量的解析表达式可以推导出，可以得到最佳的减损效果。结果显示在我和图1，这可能是配电网优化无功补偿是一个混合整数非线性优化问题，这是确定的无功补偿位置和容量约束。因此，补偿位置和容量是决定变量。其数学模型是一二层优化问题的约束。首先是在确定位置的容量优化，二是配电优化。基于优化的数学模型算法，相应的图形计算软件已经研制。与优化结果，一些电力电容器安装在10kV馈线在农村具有较低的功率因数和更高的线路损耗，实际运行效果良好。如图3所示表二，它是一个被命名为常7，总长度为22.35公里，主干线导线类型是lgj-120，有4760伏安配电容量。这个有功功率为1904千瓦，功率因数为0.83。目标功率因数为0.9，因此无功补偿总容量为358千瓦。参数包括每节的长度和导体类型，变压器铭牌上的参数，而无功补偿总容量被设置在图形软件。然而，图中的馈线已绘制过。然后将结果自动反馈图面，如图3如表二中所示，如果无功补偿装置安装，理论路线损耗率得到了明显递减的0.4149个百分点。在总容量的情况下，两家安装了百分0.007个低于一个，和三点安装比2个低百分之0.0003。然后更多的补偿装置得到了更多的递减理论的线损耗率，但降低率成为不显眼，相比之下，设备维护成本增加了很多。因此，选择2个安装长7馈线。这项工作提供了科学合理的理论配电网无功优化为配电网损耗的参考计算。此外，它提供了便利的改善电压、节能、提高线路损耗的质量管理水平。1）为解决配电网无功优化问题，本文提出了双配电网优化数学模型分布式无功补偿，集中补偿容量优化，外层是反应性补偿分配优化。该模型可以做配电网无功补偿优化荷载分布与任意分布网络结构形式。2）通过引入拉格朗日乘数和必要的极值，混合整数非线性条件优化问题被推导出到一个线性的一个，可以用高斯消元法求解。这是非常简单高效的计算机编程。3）模型和算法可以给出不同的不同数量的优化结果和损失减少电容器的安装。工程实践表明优化的电容器安装可以使线路损耗率得到明显的递减。本研究起着重要的作用在实际无功补偿装置的安装配电网和线路损耗管理。农村变电站中的无功电源合理补偿一直以来都是中国农村电网改造的热点问题。目前我国农村变电站的主要无功补偿方式仍采用固定补偿电容来控制电压和无功功率。这种补偿模式存在容量调整等、人工干预下的停电、过多和欠补偿的现象，而且投入运行的无功补偿率比较低，同时，由于农村变电站中的专用设备，主变压器的一次侧没有采样功能。为了实现功率因数不小于0.95，在二次侧的功率因数不低于0.9的目标，本文提出了一种最优无功功率控制策略。针对农村配电网的无功潮流，分析了2种控制策略的优劣。其中一个策略是在主变压器的一次侧采样，另一个是在二次侧的功率因数和开关控制的二次侧的采样。经过比较分析，提出了一种最优控制策略。在变电站二次侧的数据进行采样，然后将采样的数据进行了等效，在等效的一次侧，然后由一次侧的功率因数来控制电容器投切。对配电线路的补偿，应计算补偿容量。在二次侧的采样值和主变压器的有功损耗和无功损耗用来计算补偿容量，以满足一次侧的功率因数的目标。通过实例计算和分析，应用实际的变电站数据，得到了结果。结果符合评价标准，主变压器一次侧功率因数最高在0.95以上。如果主变压器二次侧的功率因数在0.98以上，无需进行补偿。如果主变压器二次侧的功率因数在0.97以下，所提出的补偿容量和主侧功率因数的控制方法，主变压器二次侧的功率因数不小于0.98，主侧达到0.95。这些结果表明，所提出的最优控制策略和补偿容量计算方法是可行的，这一研究具有充分利用农村配电网无功供给的现实意义。无功补偿优化配置在电力系统规划设计中占有重要地位，然而，作为一个非线性的，大规模的组合优化问题，传统的方法通常是不恰当的。本文首先对无功补偿的技术条件进行了分析，提出了一种数学模型，其目标是尽量减少设备投入的年支出，增加节能收入，满足各种操作、修理和维修的制约。控制变量包括电容器组的数量和各种补偿方案的容量。我们采用RARW-GA算法来解决这个问题。本溪钢铁集团公司电力系统的计算和分析结果表明，该方法是可行的，有效的。在农村配电线路已确定的条件下,对于无功补偿的位置和能力,提出一种改进的TS算法。