基于遗传算法的电力系统故障诊断的解析模型与方法_第二部分_软件实现

:*(310027,*),,,1,r*k(S)c*j(S,R),r*k(S)c*j(S,R),r*k(S)c*j(S,R),,,1L1(s4),(),:L1Am(r4)L1Bm(r5)L1AP(r8)L1Bp(r9)L1As(r12)L1Bs(r13)CB2(c2)CB3(c3)(r4r5),r*,:r*4(S)=s4,r*5(S)=s4;(r8r9),,(1-),:r*8(S)=s4(1-r4),r*9(S)=s4(1-r5);(r12r13),(13)(14),;(c2c3),c*10319989ProceedingsoftheEPSAVol.10No.3September19981998115,,,,;,,;12,12,21,ERA():era1,j=j=1j=2j=3ERAne3,ne=2nl+nT+nB+nG,nl,nT,nB,nG,2nLRBA():rba1,j=0,i,j;1,i,jRBAnrnc,nr,ncREA():rea1,j=0,ij;1,ijREAnrne,nr,ne(ne=nL+nT+nB+nG),L1As(r12)B(s2)L2(s5),:rear12,s2=1,rear12,s5=1,r*k(S)c*j(S,R),,ERA,,L1(s1),eraS1A,1=r4,eraS1B,1=r5,eraS1A,2=r8,eraS1B,2=r9,eraS1A,3=r12,eraS1B,3=r13L1,,r*(S)=r*(S)=(1-r)r(0:,1:),ERA,r*4(S)=s4,r*8(S)=s4(1-eraS1A,1)=s4(1-r4)1L1L2(s5)B(s2)A(s1)CB3,CB4CB3CB2(C3,C4)(C3)(C2)ERAL1,REAERAL1AL1As(r12),REAL1AB(s2)L2(S5),(13)(14),919983:,,,L1L2,L2CB4CB3L1,L1L2CB3CB4,L1(1):r*12(S)=1-[1-s2(1-c3)][1-s5(1-c3)(1-c4)]r*13(S)=s1(1-c2)r*12(S):1-[1-1(1-1)(1-2)][1-2(1-1)(1-2)][1-3(1-1)],REARBA,,c*j(S,R)CB2,RBAj=CB2,rbai,j=1i(i):r1(Am),r4(L1Am),r8(L1Ap),r12(L1As),:r*1(S)=s1,r*4(S)=s4,r*8(S)=s4(1-r4),r*12(S)=1-[1-s2(1-c3)][1-s5(1-c3)(1-c4)],:c*2(S,R)=MAXs1r1,s4r4,s4(1-r4)r8,{1-[1-s2(1-c3)][1-s5(1-c3)(1-c4)]}r12,ERAREA,r*k(S)c*j(S,R),REA,,(),,,,(),,,K,e1,Ke1,e1,e2,,2T11T110199832T1B1A1B2L1L3F1T2L2L4CB4CB2CB4CB6CB4CB7CB4CB9CB2CB1CB2CB3CB4CB6CB8CB4CB6CB10,,,,[1,2],,e1,e2,e1,,;,,,:(1)(),;(2),2VisualFoxpro,BorlandC++,:(1);(2)EMS;(3);(4);(5),EMS:EMS,EMS,,:,,,,;,,,,,:,,,:,,,,1119983:32244.1,,,,,,110kV,:,(,IIIIII,),,12199834.2,,,()4.3,,,,,4.4,,,,,,,,,,EMS,EMS4.5,,,,,,,,,,,5,,EMS1.:.:,1997.2.:.:,1997.1319983:AnanalyticmodelandgeneticalgorithmbasedmethodforfaultdiagnosisinpowersystemsPart2:ThesoftwareimplementationWenFushuanHanZhenxiangTianLeiShiJuewei(DeptofElectricalEngineering,ZhejiangUniversityHangzhou,310027)ZhangHuaiyu*(*CentralDispatchingInstitute,ZhejiangProvincialPowerCompany,310007)ABSTRACTBasedontheanalyticmodelandgeneticalgorithm(GA)basedmethodforthefaultdiagnosisproblemasdevelopedinpart1ofthis3-partpaper,theau-tomaticformingoftheobjectivefunctionbycomputersfortheGAbasedfaultdiagnosismethodisfirstproposedinpart2withtheobjectiveforon-linefaultdiagnosisimplementation.Afterwards,themodularsandfunctionsfotheon-linefaultdiagnosissoftwaredevelopedbytheauthorsforZhejiangProvincialPowerCompanyaredescribed.Keywordsfaultdiagnosis,objectivefunction1:,,:0-1,(GA)Tabu,0-1,(,),,(50),,,2:?,,:,　下转22页　1419983ABSTRACTTheoptimalplanningofdistributionsystem(includingdesignfornewres-identialdevelopmentsandexpansionforolddistricts)isaverycomplicatednonlinearcombinatorialoptimizationproblem.CombiningtherobustnessofArtificialIntelligencetechniqueswiththespatialcharacteristicsofGeographicInformationSystem,thispaperdealswiththeproblemofdistributionplanningandpresentsthestructureandcompositionofIntelligentDecisionSupportsys-temusedfordistributionplanning.Finally,thepaperdescribestherealizationofsuchIDSSastheapplicationofGeneticAlgorithminPrimaryRouting.KeywordsGeographicInformationSystem,DistributionPlanning,ArtificialIntelligence,GeneticAlgorithm上接14页,,:,5(5),;,;(100,),,2219983