3基于熵权和TOPSIS法的变电站选址研究

I():18TOPSISTOPSIS220KVTOPSISIIAbstractThecitygridistheimportantinfrastructureofcity.Economicdevelopmentofthecityisthedemandforpowergrowthneeds,andistheimpulsionofdevelopmentofcitynetwork.Thedevelopmentofcitynetworkisharmonizedwithcityconstruction,whichguaranteestheimportantconditionsofsafeandstableofeconomicoperationofpowergridandurbaneconomyhealthydevelopment,andincreasepeople’slivingstandards.Girdinvestmentislargeproportioninthewholepowerinfrastructureforthewholepowersystem.Optimizingofpowernetworkcansavefundsforinvestmentsectors.Inthepowergridplanningwork,theoptimizationofsubstationhailisanimportanttask.Itisthebasisoftheloadforecast,andtheresultcandirectlyaffectthewholenetworkstructureofgridconstructionandeconomicofoperation.Thesuperiorityofsubstationofpowersystemnetworkisdecisiverole.Whethersubstationallocationandlayoutchoosereasonableornot,isacriticalroleforinfrastructure,constructionspeed,economicandsafeofoperation.Thepracticeprovesthatgoodsubstationpositioncanensurestrongpowersystemframe.Andlittleinterferenceeffects,sothatitisabletooperateeconomicandstable,otherwise,itwillgivepowerconstructionlossandwaste.Evaluationsortingforsubstationpositionincertainstatementistofindagoalwhichachieveoptimalinreliabilityandoperationaleconomy),throughanalysisandcomputerfactorsofaffectingsubstationpositionelection.Becauseofsomanyfactors,weshouldestablishasetofreasonableevaluationindexsystemandchooseareasonableevaluationmodel.Basedonthestudyofdomesticandforeignliteraturesonsubstationplanningandlocation,wehaveain-depthstudyoftheoriesandprocessesaboutsubstation.Summarizethemainfactorsofinfluencesubstationlocation:loaddistance,savestheland,topographyandgeology,linescorridorandsoon;Andconstructsthesubstationstoodlocationtwolevelsevaluationindexsystem,involvingsixaspectsandeighteenbasicindicators;Inaddition,accordingtothelocationoftransformersubstationingirdplanning,andputsforwardtheprincipleandinfluencefactorsinentropyweightandTOPSISmethodtoevaluateandtreatchoosehailsorting,evaluating220KVSubstationsiteofsouthChengdecitywithentropyweightandTOPSISmethod.Keywords:Substation;Location;EntropyWeight;TOPSISTOPSISTOPSIS111.1[1][2]2[3]1.21.2.1E.Masud[4]MasudAunatoosWillis[5]HoltCrawford[6]Salama.ETemraz[7]30-1[6][7][8]GAGAPSO1995JamesKennedyRussellEberhart[9]TSTabuPSO[10]1.2.2AntColonyOptimizationACOSimulatedAnnealingSAGeneticAlgorithmGATabuSearchTSParticleSwarmOptimizationPSOACOACOTS[11]GISTSTS[12]SA4SASA[13][14,15,16,17]PSO[18]GIS[19]GIS[20][21][22]2007CplexC[23]2008Voronoi[24][25]1.31.3.1TOPSISTOPSIS220KV15TOPSIS220KV1.3.2()18TOPSIS12663220KV220KVTOPSIS220KV1.3.3618TOPSIS220kV220KV220KVTOPSIS1722.1[24][11]8[14]2.1.12.1.2TOPSIS92.2750KV500KV35KV500KV22020110153515108[25,26,27][25]12341%0.5m1%110KV[25,26,27]102.32~32~3T[28]2.4[29][30][31][31][32][21][33]111231/5000041/1000056[33]2.52.5.112220KV500m9Km312[13]4220KV56789)220~750KV10035~110KV5013[14,28][14,28]2.5.2[35][35]LILineInvestLRLineRunSIStationInvestSRStationRun2-114FSISRLILR=+++(2-1)1()C2-20it000(1)(1)1ttiiSICi+=×+−(2-2)22-3iLljdjJ0010(1)(1)1jJjjjjiiLILdi=+=××+−∑(2-3)3()SR4()LR2-4αjWj21JjjjLRWdα==×∑(2-4)2.6151633.13.1.13.1.23.1.3173.1.43.1.53.22007_220KV[20]2007[21]20079[36]2009[33][37]11823[37]612319GDPGDP456201GDP3.36[36]1maxijjimxa≤≤=1maxijjimxb≤≤=1jijijjjaxyab−=−2ijjijjjxbyab−=−21311ijijyqx=+−q4111222121,max(,)1,max(,)1ijijjjijijijjjqxxqqbaqxqyxqqbaq−−−−−=−−−≺≺[]12,qq(),[0,1]ijmnijYyy×=∈3.418182244.14.1.1entropyτροπη(R.cluasius)1948N.wenier(C.Eshmalon)BellSystemTechnicalJournalAMathematicalTheoryofCommunication[38]1978LPrigoginc1987JRiflcinTHoward1929szliard4.1.2nmijxijj23∑=−=niijijjppne1lnln14-1∑==niijijijxxP14-2Pijji1201iP≤≤3nPii=1,2,,nE4.1.3nmijxij()mnijxX×=1X()mn×=ijyY2ji24∑==niijijijyyP14-33j∑=−=niijijjppne1lnln14-44jjjeg−=110≤≤jg4-5jijxijx5jejjEmg−=ω∑==mjjeeE14-61,10=≤≤∑jjωω4.2TOPSIS4.2.1TOPSISHwangC.LYoonKMultipleAttributeDecisionMakingTOPSISTOPSISTechniqueforOrderPreferencebySimilaritytoIdealSolution[39]TOPSIS4.2.2TOPSISTOPSIS[40]25TOPSIS4.2.3TOPSIS1184-1264-1GDP24.1()mnijxX×=2112=∑=niijijijxxy4-827()ijnmYy×=ji∑==niijijijyyP1(4-3j∑=−=niijijjppne1lnln14-4jjjeg−=110≤≤jg4-5jejjEmg−=ω∑==mjjeeE14-61,10=≤≤∑jjωω3()mnijr×=R),,2,1;,,2,1(;mjniyrijjij==⋅=ω4-74+R−R[41,42]maxjijirr+≥jminjijirr+≤jminjijirr−≤jmaxjijirr−≥j5()1221niijjjdrr++==−∑4-828()1221niijjjdrr−−==−∑4-9ni,,2,1=6iciiiidcdd−−+=+10≤≤ic4-107ic14.3TOPSIS295220kV500kV220kV220kV3220kV20081340.3MW0.25%20081122.4MW860MW(220kV660MW110kV200MW)262.4MW(215.4MW20MW27MW)2008500kV1500MVA220kV8(1)(2120MVA)(2120MVA+1180MVA)(2120MVA)(2180MVA)(2180MVA)(2120MVA)(2120MVA)(1180MVA)220kV16(1)2280MVA(180MVA)110kV48(8)110kV92(15)3528.25MVA(716.75MVA)2008220kV16744.86km110kV841717.23km:(1)500kV500kV752220kV220kVN-15.1220KV2010GDP600GDP1.591555302010116.9614.11%2015MW17.86%5-1305-1(MW)()()20102015116.96580420204625268.34580217.86%14.11%201020208.66%8.66%1(2007)20102100MVA4050%220kV2120MVA220kV220kV2220kV500kV220kV220kV110kV220kV220kV2500kV220kV3110kV220kV110kV220kV110kV110kV110kV220kV110kV220kV5.2220kV3111