161858-95839-power-quality-disturbance-analysis161858-95839-power-quality-disturbance-analysis

161858-95839-power-quality-disturbance-analysis161858-95839-power-quality-disturbance-analysis

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1、ANALYSISOFPOWERQUALITYDISTURBANCESUSINGSIGNALPROCESSINGTECHNIQUEPROPOSEDALGORITHMOFWAVELETTRANSFORMFLOWCHARTFig.FlowchartofWaveletdecompositionsystemSIMULATIONMODELANDRESULTSSIMULATIONMODELThefollowingmodelswerestudiedusingWaveletTransform.VOLTAGESAGFigSIMULATIONMODELFORVOLTAGESAGThismo

2、delissimulatedforthetransitiontimebetween9thand15thsecondoftotaltimeof50seconds.ThenthesignalsaresenttowavelettransformandtheresultsareobtainedusingMATLABcode.OSCILLATORYTRANSIENTFigSIMULATIONMODELFORTRANSIENTThismodelissimulatedforthetransitiontimebetween2thand5thsecondoftotaltimeof50s

3、econds.ThenthesignalsaresenttowavelettransformandtheresultsareobtainedusingMATLABcode.VOLTAGESWELLFigSIMULATIONMODELFORVOLTAGESWELLThismodelissimulatedforthetransitiontimebetween4thand10thsecondoftotaltimeof50seconds.ThenthesignalsaresenttowavelettransformandtheresultsareobtainedusingMA

4、TLABcode.SIMULATIONRESULTSInthisanalysisthepowerqualitydisturbancesareproposedusingwavelettransformandextensivesimulationstudyhasbeenperformedonpowersystemmodelstoobtainoscillatorytransients,sagandswell.SIMULATIONOUTPUTFORVOLTAGESAGFigSIMULATIONOUTPUTFORVOLTAGESAGSIMULATIONOUTPUTFOROSCI

5、LLATORYTRANSIENTFigSIMULATIONOUTPUTFOROSCILLATORYTRANSIENTSIMULATIONOUTPUTFORVOLTAGESWELLFigSIMULATIONOUTPUTFORVOLTAGESWELLWAVELETTRANSFORMOUTPUTFORSAGPHASEVOLTAGESa)b)c)Figa)Phaseavoltageb)Phasebvoltagec)PhasecvoltageWAVELETTRANSFORMOUTPUTFORTRANSIENTPHASEVOLTAGESa)b)c)Figa)Phaseavolta

6、geb)Phasebvoltagec)PhasecvoltageWAVELETTRANSFORMOUTPUTFORSWELLPHASEVOLTAGESa)b)c)Figa)Phaseavoltageb)Phasebvoltagec)PhasecvoltageCONCLUSIONInthisanalysisanovelapproachforPowerQualitydisturbanceshasbeenpresented.Herewehavediscussedandanalyzedaboutvariousdisturbancesvoltagesag,voltageswel

7、landoscillatoryTransients.AllthesedisturbancesareanalysedbasedonWaveletTransform.ByapplyingtheWaveletTransformweextractparameterslikeEnergyandStandardDeviationandstatisticalparameterslikeMeanandMediantocomparethevariousevents.Thus,theproposedtechniqueprovidesveryaccuratemethodf

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