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1、PARAMETERESTIMATIONOFPOWERSYSTEMDYNAMICEQUIVALENTSUSINGANNA.H.M.A.RahimA.J.Al-RamadhanDepartmentofElectricalEngineeringSouthernAreaOperationEngineeringK.F.UniversityofPetroleumandMineralsSaudiArabianoilCo.Dhahran,SaudiArabia.Dhahran,SaudiArabia.e-mail:ahrahim@kfu
2、pm.edu.saElectricalEngineering,NeuralNetwork.electricaltransienttimeresponsewiththeparametersoftheunknownequivalent,assuch,willbeaformidabletask.ABSTRACTInthiswork,transientstabilityindicesofthestudyAnovelmethodofestimatingtheparametersofdynamicsystem,likethepeak
3、overshoot,decayconstant,naturalequivalentofapowersystemfromthetransientfeaturesoffrequencyofoscillation,etcareutilizedasinputfeaturestothelocalgeneratorisproposed.Transientstabilityindicespredictparametersoftheequivalentmachine.Twoartificiallikethepeakovershoot,d
4、ecayconstantandfrequencyofneuralnetworks--theback-propagation(BP)andradialbasisoscillationsareusedasinputfeaturestotrainback-function(RBF)weretrained.RBFnetswerefoundtobepropagationandradial-basisfunctionartificialneuralsuperiortotheBPnetworkinthisestimationproce
5、ss.networks.Simulationresultsindicatethattheradial-basisfunctionnetworkcanestimatetheparametersofthedynamicTHEPOWERSYSTEMPROBLEMmodelwithsufficientaccuracy.ModernpowernetworksarehighlycomplicatedsystemsINTRODUCTIONcontainingahugenumberofgenerators,transmissionnet
6、works,loadsetc.Becauseofloadgrowth,thesystemsizesAssessmentofdynamicperformanceofapowersystemareevergrowing.Additionofanewplantrequires,inturn,aisacomplexprocedurebecauseoftheverylargenumberoflargenumberofplanningstudies.Thedynamicstudyisonegeneratingunitsandthei
7、rassociatedcontrolelementsinaoftheverycomplicatedanalysesrequiringsolutionofmodernsystem.Effortstofindasuitableequivalentofthehundredsofdifferentialequations.Sinceinsuchstudiesthepowersystemwhichcouldfaithfullyapproximateitsdynamicprimaryconcernisthebehaviorofthe
8、new(local)unit,thebehaviorhavebeenreportedsincethe70’s[Debsanalysiswouldbemuchsimpleriftherestofthenetwork1975;Podmore1978].Usually,thesystemtobeequivalencedco
