Integration of AI and MATLAB Simulations for Real-Time - ijrpr 集成 AI 和 MATLAB 实时仿真

InternationalJournalofResearchPublicationandReviews,Vol5,no3,pp5435-5439March2024

InternationalJournalofResearchPublicationandReviews

Journalhomepage:

ISSN2582-7421

IntegrationofAIandMATLABSimulationsforReal-TimeVoltageFluctuationControlinPowerGrids

BandhanSharma1,GurpreetSingh2,KarunaDevi3

1ResearchScholarM.Tech-CSE,2Professor,3AssistantProfessor

DepartmentofComputerSc.&Engg.St.SoldierInstituteofEngg.&Technology,NearNIT,Jalandhar

ABSTRACT

Thisabstractintroducesanovelapproachintegratingartificialintelligence(AI)techniqueswithMATLABsimulationsforreal-timereductionofTotalHarmonicDistortion(THD)inpowergrids.THDposesasignificantchallengetopowergridstabilityandefficiency,necessitatingadvancedcontrolstrategiestomitigateitseffects.TheproposedframeworkcombinesAIalgorithmswithMATLABsimulationstodevelopandimplementmodel-basedcontrolmethodsaimedatreducingTHDinreal-time.

TheframeworkemploysAItechniquessuchasmachinelearninganddeeplearningwithinMATLABsimulationstomodelandpredictTHDlevelsinpowergridsaccurately.MachinelearningmodelsaretrainedonhistoricaldatatoforecastTHDvariations,enablingproactivedecision-makingtominimizedistortionsingridvoltageandcurrentwaveforms.Deeplearningalgorithms,particularlyneuralnetworks,areutilizedtocapturecomplexnonlinearrelationshipsinherentinTHDgenerationandpropagation.

Keywords:THD,AI,MATLAB

Introduction:

MATLABisapowerfulcomputationaltoolwidelyusedformodelingandsimulatingcomplexsystems,includingpowergrids.Itsintuitiveinterfaceandextensivelibraryoffunctionsmakeitwell-suitedfordevelopingandtestingvoltagecontrolalgorithms.MATLABenablesengineerstosimulatevariousgridscenarios,analyzesystembehavior,andevaluatetheperformanceofcontrolstrategiesunderdifferentconditions.AIalgorithmscanbeusedtooptimizethedesignofelectroniccircuitsandcomponentstominimizeTHD.Byiterativelyadjustingparametersandconfigurations,AIalgorithmscanfindoptimalsolutionsthatreducedistortionwhilemeetingotherperformancerequirements.AItechniquessuchasadaptivefilteringandequalizationcanbeemployedtodynamicallyadjustsignalprocessingparametersinreal-timetomitigateTHDintroducedbyvariouscomponentsinanaudiosystem.Thesetechniquescanhelpcompensatefornonlinearitiesanddistortionintroducedbyimperfectcomponentsorenvironmentalfactors.

MATLABSimulinkcanbeusedtoimproveandcontrolTHD(TotalHarmonicDistortion)inseveralways:

ModelingandSimulation:Simulinkprovidesapowerfulplatformformodelingandsimulatingcomplexsystems,includingaudiosystemspronetoTHD.Engineerscancreatedetailedmodelsofaudiocomponentssuchasamplifiers,filters,andtransducers,andsimulatethebehaviorofthesesystemsundervariousoperatingconditions.Byanalyzingsimulationresults,engineerscanidentifysourcesofTHDandevaluatetheeffectivenessofdifferentmitigationstrategies.

DesignOptimization:SimulinkoffersoptimizationtoolsthatcanbeusedtooptimizethedesignofaudiosystemstominimizeTHD.Engineerscandefineoptimizationobjectives,suchasminimizingTHDwhilemeetingotherperformancecriteria,anduseSimulinktoexplorethedesignspaceandfindoptimalsolutions.Optimizationalgorithmscanadjustsystemparameterssuchascomponentvalues,filtercoefficients,andcontrolstrategiestoachievethedesiredTHDperformance.

ControlDesign:SimulinkincludespowerfulcontroldesigntoolsthatcanbeusedtodesignfeedbackcontrolsystemstoregulateTHDlevelsinreal-time.EngineerscandesigncontrollersthatcontinuouslymonitorTHDlevelsandadjustsystemparameterstomaintainTHDwithinacceptablelimits.ControlstrategiessuchasPIDcontrol,adaptivecontrol,andmodelpredictivecontrolcanbeimplementedandtestedusingSimulinktoachievepreciseTHDcontrol.

InternationalJournalofResearchPublicationandReviews,Vol5,no3,pp5435-5439March2024

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SignalProcessing:SimulinkprovidesawiderangeofsignalprocessingblocksandlibrariesthatcanbeusedtoimplementTHDreductiontechniquesdirectlywithinthesimulationenvironment.Engineerscandesigndigitalsignalprocessingalgorithmstoanalyzeaudiosignals,detectharmonicdistortion,andapplycorrectivemeasuressuchasfiltering,equalization,andnonlineardistortioncompensation.

Objectivesofthestudy

TodevelopacomprehensiveunderstandingofvoltagefluctuationsinpowergridsthroughMATLABsimulations.

Toexplorethepotentialofartificialintelligence(AI)techniquesforreal-timemonitoringandcontrolofvoltagefluctuations.

Toevaluatetheperformanceoftheintegratedsystemintermsofvoltagestability,efficiency,andreliabilityundervariousoperatingconditions.

ResultsandDiscussion

Fig.1:Fundamentalfrequencymeasuredat72HzwithaTotalHarmonicDistortionof49.10%,representingthepurityofthesignalwithouttheapplicationofartificialintelligence

Fig.2:Fundamentalfrequencymeasuredat72HzwithaTotalHarmonicDistortionof35.22%,representingthepurityofthesignalwiththeapplicationofartificialintelligence.

Table1:AnalysisofTotalHarmonicDistortion(THD)ReductionwithoutAIandwithAI

FrequencyHz

THDwithoutAI

THDwithAI

72

49.10

35.22

73

49.16

38.23

74

48.43

41.29

75

48.00

43.69

60.00

AnalysisofTotalHarmonicDistortion(THD)ReductionwithoutAIandwithAI

50.00

49.10

49.16

48.43

48.00

43.69

41.29

40.00

38.23

35.22

30.00

20.00

10.00

0.00

72

73

74

75

THDwithoutAI THDwithAI

Fig.3:AnalysisofTotalHarmonicDistortion(THD)ReductionwithoutAIandwithAI

Conclusion

Withtheintegrationofartificialintelligence,significantreductionsinTotalHarmonicDistortion(THD)wereobservedacrossvariousfrequencies.Forinstance,atafundamentalfrequencyof72Hz,THDdecreasedfrom49.10%withoutAIto35.22%withAI.Similarimprovementswereevidentat73Hz(THDreducedfrom49.16%to38.23%),74Hz(THDreducedfrom48.43%to41.29%),and75Hz(THDreducedfrom48%to43.09%).ThishighlightstheeffectivenessofAIinenhancingsignalpurityacrossdifferentfrequencyranges.Theintegrationofartificialintelligence(AI)intosignalprocessingsystemshasshownpromisingresultsinreducingTotalHarmonicDistortion(THD)acrossvariousfrequencyranges.Inourstudy,weexaminedtheimpactofAIonTHDreductionatfrequenciesof72Hz,73Hz,74Hz,and75Hz.

Atafundamentalfrequencyof72Hz,theTHDdecreasedfrom49.10%withoutAIto35.22%withAI.ThissubstantialreductioninTHDsignifiestheeffectivenessofAIalgorithmsinenhancingsignalpurity.Similarly,at73Hz,theTHDdecreasedfrom49.16%to38.23%withtheimplementationofAI,demonstratingconsistentimprovementsacrossadjacentfrequencies.

TheobservedreductionsinTHDwiththeincorporationofAIhighlightitspotentialtoenhancetheperformanceofsignalprocessingsystemsinvariousapplications.ByleveragingAIalgorithms,engineersandresearcherscaneffectivelyaddressissuesrelatedtosignaldistortion,therebyimprovingthequalityandreliabilityofaudioandelectronicsystems.

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