A Comprehensive Evaluation Method for Asset Management Performance of Distribution Network Based on Optimal Combination Weight

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2018ChinaInternationalConferenceonElectricityDistributionTianjin,17-19Sep.2018AComprehensiveEvaluationMethodforAssetManagementPerformanceofDistributionNetworkBasedonOptimalCombinationWeight1112213YongkangHao,ShanHuang,WenxiaLiu,XiaoqiChang,YapingWu,ZongqiLiu,YangGeng(1.NorthChinaElectricPowerUniversity,Beijing,China2.StateGridBeijingElectricPowerCompany,Beijing,China3.StateGridBeijingElectricPowerCompanyEconomicandTechnologicalResearchInstitute,Beijing)ordertotesttheeffectivenessofmanagement,minetheweakAbstract—Assetmanagementperformanceevaluationisanpointsofmanagement,andguidetherapiddevelopmentoftheimportantpartofenterpriseassetmanagement.Inordertomanagement,theStateGridbegantostudythescientificandimproveassetmanagementperformanceevaluationsystemofeffectiveevaluationsystemin2009.In2010,theevaluationdistributionnetwork(DN)inChina,anewperformanceindexsystemoftheassetLCMbasedontheevaluationmodelofassetlifecyclemanagement(LCM)issafety-efficiency-cost(SEC)wasputforward[2].Theindexproposed.Firstly,throughanin-depthanalysisofdevelopmentcharacteristicsofDNandthevariousdemandsofusersinChina,systemistheperformanceevaluationoftheentirepowergridbasedoninterfacebetweenusersandDN,acomprehensiveassets,butitisbiasedtowardsthesecurityoperationleveloftheperformanceevaluationsystemisconstructedforassetLCMpowergrid,andcannotevaluatetheperformanceofthepowercoveringeconomy,serviceefficiencyandsocialbenefitsandothergridtoserveusers.Onthisbasis,reference[3]expandedandaspects.Accordingtothepurposeofenterpriseandtheperfectedtheevaluationindexoftheassetmanagementofthecharacteristicsofeachindex,anoptimalcombinationweightingtransmissiongrid.method,whichtakesbothsubjectiveandobjectivefactorsintoconsideration,isusedtoweighttheserviceefficiencyandsocialInrecentyears,withtheincreaseofDNinvestment,thebenefitindexes.Basedonthis,theperformanceevaluationmodelproportionofDNassetshasgraduallyincreased,anditsassetandcalculationmethodofDNassetmanagementareestablished.managementhasbeenpaidmoreandmoreattention.ComparedFinally,theevaluationmethodisappliedtotheperformancetothetransmissionnetwork,theDNhasmoretypesofevaluationofannualassetsmanagementoftheDNin14countiesequipment,largevolume,roughmanagement,insufficientofamunicipalpowercompany.informationandothercharacteristics,whichbringsdifficultiesIndexTerms—servicecapability;DNassetmanagement;totheperformanceevaluationofdistributionnetworkassetsevaluationindexsystem;performanceevaluationmodel;optimalmanagement.In2015,theStateGridcarriedouttheexplorationcombinationweightingmethodofassetmanagementperformanceevaluationsystemofthedistributionnetworkinthepilotunits,whicharemostlybasedontheindexsystemofSECevaluationsystem.Reference[4]I.INTRODUCTIONtookdistributionnetrevenueintoSECmodel,andputforwardiththestrengtheningofelectricpowersupervisionandtheevaluationmodeloftotallifecycleunitcapacityinvestmentWagingofpowerequipmentintheworld,thepowerincomeofDN.enterprisesarefacinggreatpressuretoreducethecostofISO55000internationalstandardgivesthedefinitionofassetoperation,increasetheavailabilityofequipmentandimprovemanagementperformanceevaluation,thatis,"byestablishingthequalityofservice.Itisanimportantwaytoimprovethesafety,customersatisfaction,quality,quantity,capacity,managementlevelofassets.Therefore,LCMisakindofreliability,responseability,environmentalsustainability,costadvancedmanagementmode,whichhasbeendevelopingandavailability,toevaluatetheorganization'sgoalandvaluerapidlyinforeignpowerenterprises[1].realization,andhelptheorganizationachievebalanceamongTheStateGridCorporationofChinalaunchedtheassetLCMfinance,environment,riskandsocialcost"[5].Accordingtoin2005,andcarriedouttheresearchofkeytechnologies.Inthedefinition,itisfoundthattheexistingDNassetmanagementperformanceevaluationindexsystemhastheCICED2018PaperNo.201805060000003Page1/7273

12018ChinaInternationalConferenceonElectricityDistributionTianjin,17-19Sep.2018followingproblemsthroughcomparison.goaloftheenterprisetopromotethenewenergyreformandthe1)Thepurposeofperformanceevaluationisnotclear.differencebetweendifferententerprises,andfocusonthe2)Performanceindicatorsarenotconsistentwiththegoalsofrationalityofthiskindofinvestment,thesocialbenefitindexistheorganization.setupintheperformancesystem,anditislistedinthecost3)Performanceindicatorsarenotabletomeettheneedsofseparatelysoastofacilitatetheanalysis.Atthesametime,thehorizontalcomparisonamongenterprises.servicecapabilityindexisproposedtorepresentthecapacityof4)ThecorrespondencerelationshipbetweenassettheDNtoimprovethepenetranceofnewenergyandthemanagementcostandperformanceisnotclear.bearingcapacityofpeakvalleyincreaseandtheinfluenceof5)Theclassificationofperformanceindicatorsistoomanyvariousspecialusers.andthereisserioussimilarity.(1)LCCofDN(C):AccordingtothetheoryoftheassetInthispaper,throughin-depthinvestigationoftheLCMofLCM,theLCCincludesthecostofinvestment,operationandthedomesticandforeigndistributionnetworkenterpriseassetsmaintenance,thecostoffailureandthecostofandthemainfactorsaffectingtheperformance,aimingatthedecommissioning.Theinvestmentcostincludesthecostofexistingproblemsinthecurrentevaluation,asetofsystemandconvertingthecurrentgridinvestmenttothecurrentyearandmethodsuitablefortheperformanceevaluationoftheDNassetthecostofthepreviousinvestmentassetsconvertedintotheLCMinChinaisputforwardsothatitcanmeettheevaluationcurrentyear.Consideringthatfinancialandequipmentneedsamongenterprises.Theservicecapabilityindexismanagementinformationhasnotyetbeenlinked,equipmentinnovativelyproposedintheserviceefficiency,whichinvestmentcannotbeconvertedtothecurrentyearprecisely,embodiesthedifferencesofdifferentusercharacteristicsandsoinvestmentcostsarereplacedbytheinvestmentoftheyearregions,andthecorrespondencerelationshipbetweencostandandthenetassetsattheendoftheyear.Inaddition,theLCCperformanceisestablished,soastoaccuratelylocatetheweakinputofDNalsoincludesthreespecialprojectssuchaslinkofassetmanagement.Atthesametime,acomprehensiveelectricityinsurance,coal-to-electricity,integrationofelectricperformanceevaluationmodelofDNassetsmanagementisputvehiclesandnewenergy.Thesethreeinvestmentshaveforward,andtheoptimalcombinationweightingmethodisseparatestatistics.adoptedtogiveconsiderationtoboththesubjectiveand(2)Economicbenefit(E):economicbenefitismainlyobjectiveevaluation,whichcanprovideguidanceandsupportreflectedinannualsalesrevenueofDN.fortheimprovementoftheinvestmentstrategyandasset(3)Socialbenefit(P):inordertoreflectthesocialbenefitofmanagementofDNinChina.electricvehicles,electricityinsurance,acceptanceofrenewableenergy,highcostconstructioncosts(newtechnologiesandurbanlandscapeneeds),theindicatorsincludeelectricityII.COMPREHENSIVEPERFORMANCEEVALUATIONSYSTEMFORinsuranceefficiency,cablerateandcarbonemissionreductionLCMOFDNbenefits.(4)Serviceefficiency(K):serviceefficiencyincludesA.ConstructionideaofindexsystemservicecapabilityK1andservicequalityK2.InordertoreflectInordertocarryoutthenewenergypolicyofthecountry,thethedifferencebetweentheusercharacteristicsandthepowergridenterpriseshaveincreasedconstructioninvestmentinvestmentdemand,theservicecapabilityindexK1issetup,ofDNatalllevelsinrecentyears,whichnotonlycontinuouslywhichrepresentstheabilityofsystemtoserveallkindsofusers.improvesthepowersupplyreliabilityandthepowergridThespecialusersincludehighreliabilityusers,emergencysolutionability,butalsoalargenumberofprojectscoal-to-electricityusers,DGusersandotheruserswithsmallsuchascoal-to-electricity,integrationofrenewableenergyandhoursofloadutilization.TheservicequalityK2isthequalityofelectricvehiclepromotionarecarriedout.ThesemeasureshaveuserserviceforDN,mainlyincludingthequalityofvoltageandincreasedtheinvestmentcostofDN.Ithasalsobecomeanreliability.Thesetwoindexesreflectthecomprehensivelevelimportantfactoraffectingassetmanagementperformanceofofpowergridequipment,structure,managementandsimilarDNs(similarpowersupplyarea).intelligence.Inviewoftheexistingproblemsinthecurrentevaluationsystemandthemainfactorsthataffecttheperformance,thisB.ClassificationandmeaningsoftheindexespapertakesthedistributionnetworkandtheuserastheTheindexclassificationandmeaningsinthecomprehensiveinterfacetoconstructtheperformanceevaluationindexsystemperformanceevaluationindexsystemofdistributionnetworkofassetmanagementfromthreeaspectsincludingeconomicassetmanagementareshowninTABLEI.benefit,serviceefficiencyandsocialbenefit,avoidingtherepetitionoftheindexes,andimprovingthescientificityoftheevaluationindexsystemconstruction.InordertoreflecttheCICED2018PaperNo.201805060000003Page2/7274

22018ChinaInternationalConferenceonElectricityDistributionTianjin,17-19Sep.2018TABLEICOMPREHENSIVEPERFORMANCEEVALUATIONINDEXSYSTEMOFDNASSETMANAGEMENTIndexesUnitClassificationIndexnamesandmeaningsmillionConventionalinvestmentofpowergridconstructionintheyear:thenon-recurringcostofthepowerC1*yuangridduringtheperiodofconstruction,transformationandcommissioning.millionOperationCost:thetotalcostofthepowergridduringtheoperationofthisyear,includinglaborcost,netC21*yuanlosscostandreliabilitycost.millionC22*Maintenancecost:systemfailuremaintenancecost.yuanC2Costoffailure:includingdirectfailurecost(thelossofpowersaleinpoweroutage),indirectcostofmillionC23*failure(thecostofcompensationforpoweroutageandthelossofcorporatereputation)andtheyuanmaintenanceandreplacementcostoffaultequipment.millionCC24*Decommissioningdisposalcost:equipmentdecommissioningprocessingfeeandresidualvalueincome.yuanmillionNetassetvalueattheendofthelastyear:thecostofconvertingpreviousinvestmentassetstotheC3*yuancurrentyear.C4millionInvestmentofelectricityinsuranceintheyear:equipmenttransformation,operationandmaintenance*yuancost,laborcostandemergencycostduringtheperiodofelectricityinsurance.C5millionInvestmentofcoal-to-electricityprojectintheyear:upgradingcostandoperationandmaintenancecost*yuanofpowergridforcoal-to-electricityproject.Investmentofintegratingnewenergyandelectricvehicles:powergridtransformationinvestandmillionC6*operationandmaintenancecostofelectricvehiclechargingfacilitiestointegratenewenergyandelectricyuanvehicles.millionEE1∆Electricitysalerevenue:theannualelectricitysalerevenueofthePowerGridCorporation.yuanTheproportionofimportantusers:theproportionofelectricitycapacityofallkindsofimportantusersK11%∆thathavespecialrequirementsforpowersupplyaccountingforthetotalpowersupplycapacityoftheregionalpowergrid.Theproportionofcoal-to-electricityusers:theproportionofelectricitycapacityofcoal-to-electricityK12%∆K1usersaccountingforthetotalpowersupplycapacityoftheregionalpowergrid.Annualdifferencebetweenpeakandvalleyload:thedifferencebetweenthetypicalmaximumandK13MW*minimumloadoftheregionalpowergrid.KNewenergypenetranceofregionalpowergrid:theproportionoftheannualtotalpowergenerationofK14%∆thenewenergysourceaccountingfortheannualpowerconsumptionoftheregionalpowergrid.Averageinterruptiontimesofcustomer:theratioofthetotalnumberofpoweroutagestothenumberofK21times*usersintheregionalpowergrid.Averageinterruptiondurationofcustomer:theratioofthetotaldurationofpoweroutagestotheK2K22h*numberofusersintheregionalpowergrid.Thevoltagequalificationrate:theproportionofthetimethatvoltageofmonitoringpointisnotovertheK23%∆boundaccountingforthetotalmonitoringtime.Electricityinsuranceeffect:theelectricityinsuranceperformance,involvingthegrade,duration,andP1—∆scopeofelectricityinsurance.P2%∆Cablingrate:theratiooflengthofinstalledcablestototallengthoffeedersinregionalpowergrid.Carbonemissionreductionofnewenergy:thereducedCO2emissionsofnewenergytoreplaceP3MWh∆Pcoal-firedpowergeneration.Carbonemissionreductionofelectricvehicles:thereducedCO2emissionsofelectricvehiclestoP4MWh∆replacefuelcarsandgasvehicles.Pollutionemissionreductionofcoal-to-electricityproject:thereductionofpollutionemissionsofP5MWh∆coal-to-electricityprojecttoreplacecoal-firedboilers.Note:∆indicatespositiveindexand*indicatesnegativeindex.additionoftheoutputbenefit.Basedonthis,thispaperputsIII.COMPREHENSIVEPERFORMANCEEVALUATIONMODELOFforwardaperformanceindexevaluationmethodbasedontheDNASSETMANAGEMENTeconomicbenefitandtheassistanceofserviceandsocialbenefits,andestablishesacomprehensiveperformanceA.ComprehensiveperformanceevaluationmodelevaluationmodeloftheDNassets.InthecomprehensiveperformanceevaluationindexsystemE[(kp)1]ofDNassetsmanagementestablishedinthispaper,theS(1)CeconomicbenefitistheincomeofthePowerGrid,whichdirectlyreflectstheoutputbenefitandthesituationoftheassets.whereSisthecomprehensiveperformancescoreofDN,kisAndtheserviceefficiencyandsocialbenefitobjectivelyreflecttheevaluationcoefficientofserviceefficiencyKandαisthetheoperationstatusoftheequipmentandthesocialweightofk,pistheevaluationcoefficientofsocialbenefitPresponsibilityofthePowerGrid,whicharetheobjectiveandβistheweightofp.CICED2018PaperNo.201805060000003Page3/7275

32018ChinaInternationalConferenceonElectricityDistributionTianjin,17-19Sep.20181)CalculationofkTherefore,whentheweightoftheindexisset,theallocationof2weightswillinevitablyreflecttheintentionoftheorganizationkkii(2)andthepositioningoftheenterprise,andthesubjectivei1weightingmethodismoreappropriate.Theobjectiveweightingwherek1andk2arethescoresofK1andK2,α1andα2arethemethodisonthebasisthatthesizeoftheindexweightdependsweightsofk1andk2respectively.Thecalculationofk1andk2isontherelativesizeofthediscretedegreeofeachevaluationasfollows.indexvalue,soitcandistinguishthedifferencebetweenthe4kk11jj1(3)differentobjectsforacertainindex,anditisbeneficialtofindj1theweakpointswhichneedtobeimproved.Therefore,this3papercombinestheadvantagesofsubjectiveandobjectivekk22jj2(4)evaluationandadoptstheoptimalcombinationweightingj1methodbasedonmomentestimationtheory[7].wherek11~k14arethescoresofK11~K14andα11~α14are1)Subjectiveweightcalculationtheweightsrespectively.k21~k23arethescoresofK21~K23Subjectiveweightingmethodisamethodtodetermineindexandα21~α23aretheweightsrespectively.weightaccordingtotheimportancedegreeofeachindexfor2)Calculationofpdecision-makers.Basedonthetargetlocationofthepowergrid5ppii(5)enterpriseandthecharacteristicsofthedistributionnetworki1operation,Delphimethodandanalytichierarchyprocess(AHP)wherep1~p5arethescoresofP1~P5,β1~β5aretheweights[8]areadoptedtoweightvariousperformanceindicatorsofrespectively.subjectively.2)ObjectiveweightcalculationB.StandardizedmethodofindexesThevariationcoefficientmethodistocharacterizetheThecomprehensiveperformanceevaluationindexsystemofdifferenceofacertainindexbyratioofthestandarddeviationassetmanagementestablishedinthispaperbelongstotheandthemeanvalueofthedata[9].Theentropyweightmethodtypicalmulti-indexevaluationsystem.Eachindexhasdifferentandtheanti-entropyweightmethodbothintroducetheconceptdimensionandmagnitude.Andtheindexcharactersareofentropyinthethermodynamicstocharacterizethedisorderdifferentinthattherearepositiveandnegativeindexes.Inorderdegreeofthesystem[10],butthelattercanavoidthegreatertoeliminatetheincommensurabilitycausedbythedifferenceofsensitivityoftheentropyweightmethodtotheindexdifferenceindextype,dimensionandmagnitude,itisnecessarytodegreewhichmaycausetheextremelysmallindexweights.Instandardizetheoriginalindexdatasoastobeusedforthispaper,thevariationcoefficientmethodandtheanti-entropycomprehensiveevaluation.weightmethodareusedtodeterminetheobjectiveweightsofInthispaper,therangetransformationmethod[6]isadoptedperformanceindicators.tonormalizetheindexes.Thespecificcalculationisasfollows.3)OptimalcombinationweightbasedonmomentestimationFirst,constructtheevaluationmatrixX=(xij)m×n,wheremistheorythenumberofindexesandnisthenumberoftheevaluatedForeachperformanceindicator,thesubjectiveweightsetofpowersupplyareas.ThenX=(xij)m×nisstandardizedtomatrixeachindexbyAHPisW{w1im}.TheobjectivessiY=(yij)m×n.weightsetsofeachindexbythevariationcoefficientmethodxxijminandtheanti-entropyweightmethodareyij(6)(1)(1)(2)(2)xxmaxminWo{woi1im}andWo{woi1im}respectively.xxmaxijFordifferentindicators,therelativeimportanceofsubjectiveyij(7)andobjectiveweightsisalsodifferent[7].Supposingthatthexxmaxminrelativeimportanceofthesubjectiveweightandtheobjectivewherexmaxandxminarethemaximumandminimumofweightisωandμrespectively.Combiningthebasicideaoftheevaluatedregionalsampledatarespectively.(6)and(7)showmomentestimationtheory,theimportancecoefficientsofthehowtostandardizepositiveindexandnegativeindex.subjectiveandobjectiveweightsofeachindexarecalculatedasC.Optimalcombinationweightingmethodfollows.Theweightsettingofindexwillaffecttherationalityandw/(ww)isisioiscientificityofcomprehensiveperformanceevaluation.iwoi/(wsiwoi),1im(8)AccordingtotheISOstandard,theperformanceevaluation(1)(2)w(ww)/2shouldbeconsistentwiththeenterprisemanagementgoal.oioioiCICED2018PaperNo.201805060000003Page4/7276

42018ChinaInternationalConferenceonElectricityDistributionTianjin,17-19Sep.2018Inordertoachievetheunityofsubjectivityandobjectivity,weightsofKandP(αandβ)aresetas0.6and0.4respectively.thesmallerthedeviationofcombinationweightandsubjectiveSimilarly,theweightsofK1andK2(α1andα2)aresetas0.3andandobjectiveweight,thebetter.Forthisreason,basedonthe0.7.ideaofmomentestimationtheory,theoptimizationmodelisInthesubjectiveempowerment,consideringthesignificantestablishedasfollows.differencesinthecorrespondinginputfortheK1indexes,themmweightsaresetaccordingtotheratiooftheirrelatedinputs.22minHW()i(wiwsi)i(wiwoi)Basedontheactualsituationofthecity,theimportancerankingii11mofK1indexesisK12≻K11≻K13≻K14.Andtheimportances.t.wi1rankingofPindexesisP2≻P1≻P5≻P4≻P3.Thenthesubjectivei1weightsofK1andPindexesaredeterminedbyAHP.Besides,wi0，i1,2,,m(9)K21andK22aredifferentindicatorsthatbothreflectreliabilityofdistributionnetwork,sotheirimportanceissimilar.D.EvaluationProcedureTheobjectiveweightsofeachbasicindexarecalculatedbyThespecificstepsofassetmanagementcomprehensivethevariationcoefficientmethodandtheanti-entropyweightperformanceevaluationofDNareasfollows.method.Thesubjectiveandobjectiveweightsandoptimal1)Basedonthesurveydata,theevaluationindexvaluesofcombinationweightsareshowninTABLEII.eachpowersupplyareaarecalculatedrespectively.TABLEIIWEIGHTOFEACHPERFORMANCEINDEX2)StandardizetheperformanceindexdataofKandPofObjectiveweighteachpowersupplyarea,andgetthenormalizedvalueofeachOptimalVariationAnti-entropySubjectiveweightcombinationindexasthescoreofthecorrespondingindex.coefficientweightweight3)Calculatesubjectiveandobjectiveweightsofvariousmethodmethodα110.32240.25460.25180.2634performanceindicators.α120.46110.22970.23210.35574)Calculatetheoptimalcombinationweightofeachindexα130.13380.21060.21660.1543accordingtoequation(8)-(9).Theinteriorpointmethodisusedα140.08260.30510.29950.2266α210.50.50040.51450.5037tosolvethislinearconvexprogrammingproblem.α220.50.49960.48550.49635)Basedonthescoresandcorrespondingweightsoftheβ10.2920.19900.21590.2088performanceindexes,calculatethecomprehensiveβ20.44290.08990.08040.3371performancescoresofeachpowersupplyarea.β30.05350.24110.24020.1585β40.09180.26170.27090.17346)Theresultsofcomprehensiveperformanceevaluationinβ50.11980.20830.19270.1222differentdistrictsareanalyzedhorizontallyandvertically.IV.EXAMPLEANALYSISA.ComparisonofperformanceevaluationbetweenpowersupplyareasBasedontheaboveevaluationmodel,acomprehensiveBasedontheassetmanagementperformanceevaluationevaluationandanalysisoftheassetmanagementperformancescoresof14districtsin2016,thequalifiedvalueandofacitypowernetworkconsistingof14countyDNsiscarriedsatisfactionvalueoftheperformancescoresfortwotypesofout.AccordingtothedifferenceofeconomicdevelopmentareasareshowninTABLEIII.Accordingtotheperformancelevelandloaddensity,regionA1~A5belongtoAreaI,andevaluationstandard,itispossibletoevaluatetheDNassetregionB1~B9belongtoAreaII.Byanalyzingthestatisticalmanagementineachregion,andthenputforwardsuggestionsdatum,thevoltagequalificationrateK23ofeachcompanyistoitsweakpart.between99.98%-99.99%,andthedifferenceisverysmall.TABLEIIITherefore,intheprocessofdataanalysis,K23isnotincludedinPERFORMANCEEVALUATIONSTANDARDFOREACHDISTRICTthecalculationanalysis.PerformanceevaluationstandardFirst,accordingtoequation(6)-(7),theindexdatumofKandStandardAverageReferenceQualifiedSatisfactionPineachareaarestandardized.Then,theweightsofeachindexDistrictperformancescorevaluevaluevaluearedeterminedbasedontheactualsituationofthedistributionAreaⅠ2.63≤2.632.63~4.38≥4.38networkintheevaluatedarea.AreaII1.77≤1.771.77~2.95≥2.95Forthesecond-gradeperformanceindicators,accordingtothesizeofcorrespondinginputoftheindexes,DelphimethodisA1,B1,andB5districtsareselectedastheevaluationobjects,usedtoweightsubjectively:DuetothelargenumberofKandtheindexesandscoresofthethreedistrictsareshowninindicators,theratioofinputtoDNismoresignificantandtheTABLEIV.impactonpowergridishigherthanPindicators.Therefore,theCICED2018PaperNo.201805060000003Page5/7277

52018ChinaInternationalConferenceonElectricityDistributionTianjin,17-19Sep.2018TABLEIVoninvestmentstrategyandassetmanagement.AsshowninSOMEINDEXESANDSCORESOFTHETHREEDISTRICTSTABLEV,theperformanceindexK12isdirectlyassociatedPowersupplyC/MillionE/MillionwithC5andtheperformanceindexesdirectlyrelatedtoC6areareakpSyuanyuanK14,P3andP4.Amongthem,thecostofspecialprojectsistheA13728.8798560.620.760.653.95correspondinginvestmentoftheyear,andthecorrespondingbenefitisthedifferencevaluebetweenthebenefitofthecurrentB11760.1574601.3850.410.563.84yearandtheactualbenefitofthepreviousyear.B5601.2103606.1850.710.171.51ThecomprehensiveperformancescoreoftheA1districtisTABLEVthehighest,buttheresultisbetteronlywithintheperformanceBENEFIT/COSTASSESSMENTOFSPECIALPROJRCTSevaluationqualifiedrangeofAreaI.ThecomprehensiveIndexperformancescoreoftheB1districtisthenext,butitisfarCostBenefitBenefit/costYearhigherthanthesatisfactoryvalueoftheAreII,andtheresultsK125.1K12/C50.0021oftheevaluationaresatisfactory.AndthescoreoftheC52459comprehensiveperformanceoftheB5districtis1.507,whichisP51154.11P5/C50.469lowerthanthequalifiedvalueoftheAreaII,indicatingthatthe2015K140.002K14/C68.87E-07DNassetmanagementintheB5districtneedsimprovement.InC62255.13P326.37P3/C60.0117addition,comparedwithB1andB5,theexcellentindexofA1P485.435P4/C60.0018districtisincomeofthepowergridE1andservicequalityK2,K1219.2K12/C50.0013whichismainlyduetothehighloaddensityandhighdemandC514813forpowersupplyreliabilitywithinAreaI.P53826.25P5/C50.258ComparedwiththeB1andB5districtsofthesameAreaII,2016K140.133K14/C61.42E-05althoughtheservicequalityK2intheB5districtishigher,theC69223.08P3197.3P3/C60.0185scoreofserviceperformanceKintheB5districtis0.3higherP493.298P4/C60.00085thanthatintheB1,buttheE/CintheB1is2.614,andtheE/CNote:IndexesintheTABLEVareinitialdata,andtheirmeaningsareintheB5isonly1.008,whichmakestheeffectofEandKtodifferentfromtheindexesintheChapterI.TheunitsoftheindexesareimprovetheeconomicbenefitPinB5isnotobvious.TheshowninTABLEI.scoresofeachindexofPinB5districtarelower,whichpulldownthecomprehensiveperformancescore.AccordingtotheAscanbeseenfromTABLEV,theinvestmentbenefitofcostofthreedistricts,theC4,C5,andC6intheB5districtaredifferentyearsandprojectsinthesameareaisdifferent.Inbothsmall,sothesocialbenefitPassociatedwiththemarelow.2016,theinvestmentincoal-to-electricityprojectandelectricInordertoimprovetheDNassetmanagementperformanceinvehiclesintheB7districtincreasedsignificantly,buttheB/CtheB5district,ontheonehand,throughmarketadjustmentvaluedecreased,becausetheB7districtdevelopedearlierinmeasuressuchasdemandresponse,electricitysalesshouldbethesetwoprojects,andthescaleoftheprojectsconstructionincreasedandthecostofDNshouldbereduced;ontheotherwaslarge,soinordertofurtherincreasebenefits,morecosthand,itshouldincreasecoal-to-electricityprojectandelectricmustbeinvested.Onthecontrary,intheB7districttheK14/C6vehiclesintegrationintopowersystemandenhancetheandP3/C6isrising,mainlybecausethenewenergygridconstructionofnewenergyaccessfacilitiestoimproveKandPconstructionisintheearlystageintheB7district,andscores.developmentsituationofthenewenergyisprettygood,soitcaneffectivelyimprovethecomprehensiveperformanceoftheB.Comparisonofbenefit/costassessmentinpowersupplyDNassetmanagementthroughthenewenergyproject.areaTherefore,whileimprovingtheweaklinksofassetComparedwiththeinput-outputefficiency,throughthemanagement,powersupplyareasshouldpaymoreattentiontoevaluationofbenefit/cost(B/C)forcoal-to-electricityprojectinvestmentefficiencyandrationalplanningsoastoachieveandelectricvehiclesintegrationintopowersystem,thepreciseinvestment.scientificityofinvestmentinprojectscanbeobjectivelyevaluated,thecostofinvestmentcanbereasonablyandeffectivelyregulated,andthecurrentsituationoftheDNassetV.CONCLUSIONmanagementhasbeenfurtherimproved.Basedonthe2016and2015statistics,thischapterusestheThroughin-depthinvestigationofthesituationoftheB7districtasanexampletoanalysisB/Cassessment,evaluatedomesticandforeigndistributionnetworkenterpriseassetsitsinvestmentefficiency,andputforwardspecificsuggestionsmanagement,usingtheISO55000internationalstandardforCICED2018PaperNo.201805060000003Page6/7278

62018ChinaInternationalConferenceonElectricityDistributionTianjin,17-19Sep.2018reference,thispaperaimsattheexistingproblemsoftheperformanceevaluationindexofthecurrentdomesticDNassetsmanagement.BasedonthecharacteristicsoftheDNdevelopmentinourcountry,thecomprehensiveperformanceevaluationindexsystemandcalculationmodelforDNassetlifecyclemanagementconsideringservicecapabilityareproposed.Throughanexampleanalysis,themainconclusionsareasfollows:1)Throughthecomparativeanalysisofdifferententerprises,thispaperputsforwardsomesuggestionsontheweaklinkofmanagementperformanceintheareaswithlowperformanceinassetmanagement,soastoguidetheDNenterprisestoimproveassetsmanagementwiththeestablishedgoalsandpolicies.2)Throughtheinput-outputrelationshipandthelongitudinalincome/costassessmentinthedistributionnetwork,theinvestmentefficiencyoftheenterpriseisevaluatedandthesustainableimprovementoftheenterprisescanbefixed,thusprovidingusefulreferenceandguidancefortheDNenterprisestoimprovetheassetmanagementeffectively.REFERENCES[1]LiuWenxia,ShanXiaodong,JiangWeimin,etal.RiskassessmentsystemofNERCbulkpowersystemanditsinspiration[J].PowerSystemTechnology,2016,40(12):3811-3817.[2]StateGridCorporationofChina.EvaluationindexsystemforassetlifecyclemanagementofstategridcorporationofChina(trialedition)[Z].Beijing:StateGridCorporationofChina,2010.[3]LiCaiping,LiJinpeng,YueChaoyuan,etal.Evaluationindexsystemofassetlifecyclemanagementforpowersupplyenterprises[J].EastChinaElectricPower,2011,39(11):1870-1873.[4]GuRen,ChenJun,ShenJiong,etal,Evaluationmodelforinvestmentincomeofdistributionnetworkanditsapplication[J].SmartGrid,2017,5(5):480-486.[5]ISO55000:2014Assetmanagement–Overview,principlesandterminology.[6]ZhouYifan,HuWei,MinYong,etal.Dynamiccomprehensiveevaluationmethodofpowerindustrydevelopmentlevelbasedonprovincialdata[J].AutomationofElectricPowerSystems,2016,40(18):76-83.[7]ShenYangwu,PengXiaotao,ShiTongqin,etal.Agreycomprehensiveevaluationmethodofpowerqualitybasedonoptimalcombinationweight[J].AutomationofElectricPowerSystems,2012,36(10):67-73.[8]YangXiaobin,LiHeming,YinZhongdong,etal.Energyefficiencyindexsystemfordistributionnetworkbasedonanalytichierarchyprocess[J].AutomationofElectricPowerSystems,2013,37(21):146-150.[9]ZhangWenchao,GuXueping.Comprehensiveevaluationofwindfarmsusingvariationcoefficientmethodandtechniquefororderpreferencebysimilaritytoidealsolution[J].PowerSystemTechnology,2014,38(10):2741-2746.[10]ZhangXinjie,GeShaoyun,LiuHong,etal.Comprehensiveassessmentsystemandmethodofsmartdistributiongrid[J].PowerSystemTechnology,2014,38(1):40-46.YongkangHaowasborninShanxiProvince,China,inMay1994.HeisapostgraduatestudentofelectricalengineeringfromNorthChinaElectricPowerUniversityinChina.Hismainresearchcoverspowersystemplanningandassetmanagement.CICED2018PaperNo.201805060000003Page7/7279