计及分布式电源的配电网供电可靠性评估

上海交通大学硕士学位论文计及分布式电源的配电网供电可靠性评估姓名：刘传铨申请学位级别：硕士专业：电力系统及其自动化指导教师：张焰20080201IIEEE-RBTSBus6,ABSTRACTIItheDistributionNetworkReliabilityAssessmentConsideringtheDistributionGenerationABSTRACTNowadays,withthedevelopmentofDistributedGeneration(DG),theDGtechnologywillplayanincreasingimportantroleinElectricityPowerSystem.DGcannotonlyimprovetheenergyefficiency,butalsodecreasetheemergencesofshort-of-electricity.Inall,theDGistheoptimalchoiceforlong-termenergydevelopment,environmentprotection,andpeacefulsociety.WiththepenetrationofDGintodistributionsystem,thereliabilityassessmentmodelischanging.TheoutputpowerofDGismuchmorerandomcomparedwiththetraditionalpower.Furthermore,thetraditionalassessmentmodelisaradialnetwork,inwhichthesinglepowersourceprovidestheenergytoseveralfeeders.Onceafaulthappenedinafeeder,theloadscollectedwiththefeederwouldbeoutofenergy.WiththeDGintodistributionsystem,theradialnetworkturnsintoamulti-sourcenetwork,andtheassessmentmodelisalsodifferentwiththetraditionalonewhenDGisoperatinginislandmode.ThepaperproposesanewassessmentmodelconsideringtheDG,ABSTRACTIIIwhichcanhandletheinfluenceofDGtothedistributionsystem.Atfirst,basedontheDGcharacteristicsthepaperbuildstheresourcemodelwhichisapplicabletothedistributionnetworkreliabilityassessmentmodelwithDG.Thenthepapervalidatestheimportanceofloadsinpowernetworkandbuildsaseparationislandedmodemethod,withthemaximumofequivalentloadsastheaimoffunction.Itusesthedepth-firstsearchandbreadth-firstsearchtechnologytosolvetheproblem.Besides,thepapermakesanewversionoftheminimalpathmethodinthetraditionalassessmentanalysistosuitforthealgorithmconsideringtheDG.AnIEEE-RBTSBus6systemisappliedtotestifytheefficiencyofthemodifiedmodel.ThecaseresultsalsoshowthatDGcanincreasethereliabilityofdistributionsystem.KEYWORDS:DistributionNetwork;DistributedGeneration;Island;ReliabilityAssessment20082182008218200821811.1[1]90%DG100060004500600kW[4-5]201020%202050%202015%20061151MW4MW400KW[2-3]1020GW201020%205030%~50%2[6-7]1.2[9]-[38]1.2.1Monte-CarloMonte-Carlo[2627]failuremodeandeffectanalysisFMEA3[19-20]:[22]()[17-18]()4[21]bcd()()a:,51.2.2[8][9-11][12][13][14][15],,[16]N-161.3,123,4IEEE-RBTSBus672.11MW8-9MW[23]170%~90%2[24]38452%151.310W×1210W102-19312PPvSCρ=2-1PWρ3/kgmS2mv/mspC2-12-1Figure2-1StandardPowerOutputCurveoftheWTG1084%l2325%~100%80(PEMFC),40%~65%11()()()30%75%2.21[29]212[15]32.32.12.3.1PDG[25]132.3.2EDG2-2[26-27]:µλ2-2Figure2-2StateModelofGeneratorFailureλµ:µλλ+=FP22:µλµ+=NP23142.3.3SDG1234MMMM1,2,3,4iMi=i:2-3Figure2-3StateModelofGeneratorFailure12342M3M4M21λ12λ31λ32λ23λ42λ43λ34λ1M1512122121232331323132343442434243001()02[]()30()4Aλλλλλλλλλλλλλλλλ−−+=−++−+1234[,,,]Ppppp=4121221212323313231323434123442434243123400()0()[,,,]00()1ppppppppλλλλλλλλλλλλλλλλ−−+−++=−++++=2-41Ap=∆2Bp=∆3Cp=∆4Dp=∆312342432142433132214234()()()()Aλλλλλλλλλλλλ=++++++1242433132123442()()Bλλλλλλλλ=+++1623124243()Cλλλλ=+342312Dλλλ=234243123142433132211221124234122334()()()()()()()λλλλλλλλλλλλλλλλλλ∆=++++++++++1M:11Pp=252M:212Ppp=+263M:3123Pppp=++274M:41234Ppppp=+++284M4P,1M1P,172.4183.13-110kV10kV4QSABCDEABCDE(kW)150200300951000.6km0.5km0.2km0.4km0.3km12345QS3-1Figure3-1TraditionalRadialDistributionSystem3-2DG1DG2194abaDG1ABCbDG2ED4DGABCDEDG2DGDG1(kW)150200300951000.6km0.5km0.2km0.4km0.3km12345QSab3-2Figure3-2PowersystemwithDGs[61011]3.2,IEEE9292000[30-31],[32]:20,,,,,,,,,3-2,4,,,E,,IEEE:IEEE15472003,,,[1533]31)3-3Figure3-3Disconnected-typeInterfaceMode3-3,,2,1,A,,,,212),3-4,12,,12,A,A,3-4Figure3-4Breaker-typeInterfaceMode(3):,,,,,:IEEE1547-2003,3.32003814223.3.1iωequivalentloadELmaxmax()()iDELiLaiω∈=∑3-1..1iiDstω∈=∑3-2()DGiDLaiP∈≤∑3-3DjD∈jDGD()LaiDGP()Laii3.3.223(1)3-5,0.5MW7,MW45678101112133-5Figure3-5DistributionoftheNetworkTopology(2)20.110.240.160.150.2100.3110.270.280.3120.2130.190.1140.330.1DG241V2V3V4V5V6V7V8V3-6Figure3-6theOriginalMap1V2V3V4V5V6V7V8V3-7Figure3-7Breadth-firstSearchTechnologyProcess3-63-71V1V2V3V2V4V5V3V6V7V4V8V2512345678VVVVVVVV→→→→→→→(3)()Lai()Lai3-33-3()LaijD∈(1)vvv1V2V3V4V5V6V7V8V3-8Figure3-8Depth-firstSearchTechnologyProcess263-63-81V1V2V2V2V4V8V5V5V5V8V4V2V1V1V1V3V12485367VVVVVVVV→→→→→→→(2)D()Lai()Lai3-33.43.4.1EDG2.3.2EDG,,iIPLPjTjG27,ijLjT,ijIPBjG,ijIPH,,,ijijijIPLPIPBIPH=3-4,ijIPB,ijIPHjT,()()ijDGjIPHPPGPNT=≥3-5()[1()]jjGGjPNTTλλ+−=−+3-6()DGjPPG≥jG()PNTjGλ+jGλ−_______,11TNiijjTIPLPIPLPN==∑3-7TN28iIPLP,,(1)kiSkiCkIPLPIPLPλλλ=+−3-8,,(1)kiSkiCkIPLPIPLPγγγ=+−3-9,Skλ,Ckλ,Skγ,Ckγ3-8,Ckλ,,()kiCkSkIPLPλλλ∆=−iLPiIPLPiIPLP1iIPLP3.4.2SDG2.3.3SDG2.3.3iIPOP29nmmmmm,ijijiλ=3-103-942.3.3iIPOPiIPLP,(1)likiCkIPOPIPOPλλλ=×+−3-1130,(1)likiCkIPOPIPOPγγγ=×+−3-123-94Figure3-9WindVelocityTimeSeriesClusteredin4States3.5314.14.1.1(4-1)4-1nFigure4-1NComponentSeriesSystem11niiλλ==∑/4-1212n3211niiiniiλγγλ===∑∑/4-23UUλγ=/4-3iλi/iγih/4-24-2Figure4-2ParallelSystem11212()λλλγγ=+/4-421212γγγγγ=+/4-53U2133Uλγ=/4-64-34-3Figure4-33ComponentParallelsystem123123()λλλλγγγ=++/4-7123122313γγγγγγγγγγ=++/4-8123123Uλγλλλγγγ==/4-94.1.21SAIFISAIFISystemAverageInterruptionFrequencyIndex∑∑=iii