外文翻译基于优化的牛顿拉夫逊法和牛顿法的潮流计算.doc
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外文翻译--基于优化的牛顿—拉夫逊法和牛顿法的潮流计算
英文文献
PowerFlowCalculationbyCombinationofNewton-RaphsonMethodand
Newton'sMethodinOptimization.
AndreyPazderin,SergeyYuferev
URALSTATETECHNICALUNIVERSITY?
UPI
E-mail:
pav@//0>.,usv@//.
Abstract--Inthispaper,theapplicationoftheNewton'smethodin
optimizationforpowerflowcalculationisconsidered.Convergence
conditionsofthesuggestedmethodusinganexampleofathree-machine
systemareinvestigated.Itisshown,thatthemethodallowstocalculate
non-existentstatepointsandautomaticallypullsthemontotheboundary
ofpowerflowexistencedomain.Acombinedmethodwhichiscomposedof
Newton-RaphsonmethodandNewton'smethodinoptimizationispresented
inthepaper.
IndexTerms?
Newtonmethod,Hessianmatrix,convergenceofnumerical
methods,steadystatestability
Ⅰ.INTRODUCTION
problemisthebasisonwhichother
flowthepowerofThesolution
problemsofmanagingtheoperationanddevelopmentofelectricalpower
systemsEPSaresolved.Thecomplexityoftheproblemofpowerflow
calculationisattributedtononlinearityofsteady-stateequations
systemanditshighdimensionality,whichinvolvesiterativemethods.The
basicproblemofthepowerflowcalculationisthatofthesolution
feasibilityanditerativeprocessconvergence[1].
Thedesiretofindasolutionwhichwouldbeontheboundaryofthe
existencedomainwhenthegivennodalcapacitiesareoutsidetheexistence
domainofthesolution,anditisrequiredtopullthestatepointback
ontothefeasibilityboundary,motivatestodevelopmethodsand
algorithmsforpowerflowcalculation,providingreliableconvergenceto
thesolution.
ThealgorithmforthepowerflowcalculationbasedontheNewton's
methodinoptimizationallowstofindasolutionforthesituationwhen
initialdataareoutsidetheexistencedomainandtopulltheoperation
pointontothefeasibilityboundarybyanoptimalpath.Alsoitispossible
toestimateastaticstabilitymarginbyutilizingNewton'smethodin
optimization.
AsthealgorithmbasedontheNewton'smethodinoptimizationhas
considerablecomputationalcostandpowercontrolcannotberealizedin
allnodes,thealgorithmbasedonthecombinationoftheNewton-Raphson
utilized
betoofferedisoptimizationinmethodNewton'stheandhodsmet
forcalculatingspeed,enhancingthepowerflowcalculation.
II.THEORETICALBACKGROUND
A.Steady-stateequations
Thesystemofsteady-stateequations,ingeneral,canbeexpressed
asfollows:
whereisthevectorofparametersgivenforpowerflow
calculation.Inpowerflowcalculation,realandreactivepowersareset
ineachbusexceptfortheslackbus.Ingenerationbuses,themodulusof
voltagecanbefixed.WX,Yisthenonlinearvectorfunctionof
steady-stateequations.VariablesYdefinethequasi-constantparameters
associatedwithanequivalentcircuitofanelectricalnetwork.Xisa
requiredstatevector,itdefinessteadystateofEPS.Thedimensionof
thestatevectorcoincideswiththenumberofnonlinearequationsofthe
system1.Therearevariousknownformsofnotationofthesteady-state
equations.Normally,theyarenodal-voltageequationsintheformofpower
balanceorintheformofcurrentbalance.Complexquantitiesinthese
equationscanbepresentedinpolarorrectangularcoordinates,which
leadstoasufficientlylargevarietyformsofthesteady-stateequations
notation.Therearevariablemethodsofanonlinearsystemofsteady-state
equationssolution.Theyareunitedbytheincrementalvectorof
independentvariablesΔXbeingsearchedandtheconditionof
convergencebeingassessedateachiteration.
B.TheNewton'smethodinoptimization
Anotherwayofsolvingtheproblemofpowerflowcalculationis
relatedtodefiningazerominimumofobjectivefunctionofsquaressum
ofdiscrepanciesofsteady-state
equations:
2?
Thefunctionminimum2isreachedatthepointwherederivatives
onallrequiredvariablesareequaltozero:
3
Itisnecessarytosolveanonlinearsetofequations3tofindthe
solutionfortheproblem.Calculatingthepowerflow,whichismadeby
thesystemofthelinearequationswithaHessianmatrixateachiteration,
isreferredtoastheNewton's
methodinoptimization[4]:
4
TheHessianmatrixcontainstwoitems:
5
Duringthepowerflowcalculation,thedeterminantofHessian
matrixispositiveroundzeroandnegativevalueofadeterminantof
Jacobian.Thisallowstofindthestatepointduringthepowerflow
calculation,wheninitialpointhasbeenoutsideoftheexistencedomain.
TheconvergencedomainofthesolutionoftheNewton'soptimization
methodislimitedbyapositivevalueoftheHessianmatrixdeterminant.
Theiterativepr