中英文對照外文翻譯(文檔含英文原文和中文翻譯)外文翻譯（譯文）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.配電系統無功補償裝置容量優化配電網無功補償，作為補充的變電站補償可以有效地提高功率因數，減少線路損耗，提高末端電壓，保證供電質量，也能帶來良好的企業的經濟效益，已得到泛的注意。分布式無功補償，安裝饋線上的電容器，是主要的配電網國內外薪酬模式，但不同安裝位置和不同的裝機容量，效益是不同的。無功功率的應用補償分配逐漸增多，如何選擇適當的無功補償位置和補償能力，使利益最大化成為人們的研究目標。由分布式無功補償的優化提出分配網絡。目前，在實際配電網中決定的最佳補償能力的最佳位置補償，通常按照理想情況，如沿道路分布的無功負荷均勻增加，遞減分布或等腰三角形分布等。該方法具有效果清楚，計算簡單，并具有一定的工程實用價值。但實際無功負荷分布更為復雜，不同于理想的情況下。所以，按照理想情況來配置無功補償優化方案可能不滿意。學習了解更一般的分布式無功補償配置優化方法是必要的。本文研究了幾種典型的優化方法：首先按照理想的無功補償配置的配置負荷分配。然后詳細介紹了分布式的無功補償優化數學模型適用于任何負荷分配或配電網絡結構，并給出了有效的算法。最后，論文介紹了研究的實際應用模型與算法。理想的負荷分配是指無功功率沿線路荷載分布符合一種理想的規則。例如，在任何一點的道路的無功負荷分配是相等的，被命名為均勻分布，無功負荷第一端增加或減少，命名為增加或在實際項目中選擇。當實際的功率分配是不同的理想的情況下，使用結果來指導無功補償配置，效果可能不明顯。它需要研究一種更為一般的無功補償優化配置方法。減少分布等。這是一個抽象的實際載荷分布，在這樣的假設前提下最佳位置和容量的解析表達式可以推導出，可以得到最佳的減損效果。結果顯示在我和圖1，這可能是配電網優化無功補償是一個混合整數非線性優化問題，這是確定的無功補償位置和容量約束。因此，補償位置和容量是決定變量。其數學模型是一二層優化問題的約束。首先是在確定位置的容量優化，二是配電優化。基于優化的數學模型算法，相應的圖形計算軟件已經研制。與優化結果，一些電力電容器安裝在10kV饋線在農村具有較低的功率因數和更高的線路損耗，實際運行效果良好。如圖3所示表二，它是一個被命名為常7，總長度為22.35公里，主干線導線類型是lgj-120，有4760伏安配電容量。這個有功功率為1904千瓦，功率因數為0.83。目標功率因數為0.9，因此無功補償總容量為358千瓦。參數包括每節的長度和導體類型，變壓器銘牌上的參數，而無功補償總容量被設置在圖形軟件。然而，圖中的饋線已繪制過。然后將結果自動反饋圖面，如圖3如表二中所示，如果無功補償裝置安裝，理論路線損耗率得到了明顯遞減的0.4149個百分點。在總容量的情況下，兩家安裝了百分0.007個低于一個，和三點安裝比2個低百分之0.0003。然后更多的補償裝置得到了更多的遞減理論的線損耗率，但降低率成為不顯眼，相比之下，設備維護成本增加了很多。因此，選擇2個安裝長7饋線。這項工作提供了科學合理的理論配電網無功優化為配電網損耗的參考計算。此外，它提供了便利的改善電壓、節能、提高線路損耗的質量管理水平。1）為解決配電網無功優化問題，本文提出了雙配電網優化數學模型分布式無功補償，集中補償容量優化，外層是反應性補償分配優化。該模型可以做配電網無功補償優化荷載分布與任意分布網絡結構形式。2）通過引入拉格朗日乘數和必要的極值，混合整數非線性條件優化問題被推導出到一個線性的一個，可以用高斯消元法求解。這是非常簡單高效的計算機編程。3）模型和算法可以給出不同的不同數量的優化結果和損失減少電容器的安裝。工程實踐表明優化的電容器安裝可以使線路損耗率得到明顯的遞減。本研究起著重要的作用在實際無功補償裝置的安裝配電網和線路損耗管理。農村變電站中的無功電源合理補償一直以來都是中國農村電網改造的熱點問題。目前我國農村變電站的主要無功補償方式仍采用固定補償電容來控制電壓和無功功率。這種補償模式存在容量調整等、人工干預下的停電、過多和欠補償的現象，而且投入運行的無功補償率比較低，同時，由于農村變電站中的專用設備，主變壓器的一次側沒有采樣功能。為了實現功率因數不小于0.95，在二次側的功率因數不低于0.9的目標，本文提出了一種最優無功功率控制策略。針對農村配電網的無功潮流，分析了2種控制策略的優劣。其中一個策略是在主變壓器的一次側采樣，另一個是在二次側的功率因數和開關控制的二次側的采樣。經過比較分析，提出了一種最優控制策略。在變電站二次側的數據進行采樣，然后將采樣的數據進行了等效，在等效的一次側，然后由一次側的功率因數來控制電容器投切。對配電線路的補償，應計算補償容量。在二次側的采樣值和主變壓器的有功損耗和無功損耗用來計算補償容量，以滿足一次側的功率因數的目標。通過實例計算和分析，應用實際的變電站數據，得到了結果。結果符合評價標準，主變壓器一次側功率因數最高在0.95以上。如果主變壓器二次側的功率因數在0.98以上，無需進行補償。如果主變壓器二次側的功率因數在0.97以下，所提出的補償容量和主側功率因數的控制方法，主變壓器二次側的功率因數不小于0.98，主側達到0.95。這些結果表明，所提出的最優控制策略和補償容量計算方法是可行的，這一研究具有充分利用農村配電網無功供給的現實意義。無功補償優化配置在電力系統規劃設計中占有重要地位，然而，作為一個非線性的，大規模的組合優化問題，傳統的方法通常是不恰當的。本文首先對無功補償的技術條件進行了分析，提出了一種數學模型，其目標是盡量減少設備投入的年支出，增加節能收入，滿足各種操作、修理和維修的制約。控制變量包括電容器組的數量和各種補償方案的容量。我們采用RARW-GA算法來解決這個問題。本溪鋼鐵集團公司電力系統的計算和分析結果表明，該方法是可行的，有效的。在農村配電線路已確定的條件下,對于無功補償的位置和能力,提出一種改進的TS算法。