基于WAMS的電力系統(tǒng)動態(tài)監(jiān)測及分析研究

基于WAMS的電力系統(tǒng)動態(tài)監(jiān)測及分析研究一、本文概述Overviewofthisarticle隨著現(xiàn)代電力系統(tǒng)規(guī)模的不斷擴大和復(fù)雜性的增加，電力系統(tǒng)的動態(tài)監(jiān)測與分析成為了確保電網(wǎng)安全、穩(wěn)定運行的關(guān)鍵。本文旨在探討基于廣域測量系統(tǒng)（WideAreaMeasurementSystem,WAMS）的電力系統(tǒng)動態(tài)監(jiān)測及分析研究。WAMS通過實時采集和處理電網(wǎng)的各類信息，為電力系統(tǒng)提供了全面的動態(tài)數(shù)據(jù)支持，從而實現(xiàn)了對電網(wǎng)狀態(tài)的實時監(jiān)控和深入分析。本文首先介紹WAMS的基本原理和組成，然后分析其在電力系統(tǒng)動態(tài)監(jiān)測中的應(yīng)用，包括電網(wǎng)狀態(tài)估計、故障定位、振蕩分析等。接著，本文探討基于WAMS的電力系統(tǒng)動態(tài)分析方法，如時域仿真、頻域分析等，并研究這些方法在電力系統(tǒng)穩(wěn)定運行和故障應(yīng)對方面的作用。本文還將展望WAMS在電力系統(tǒng)動態(tài)監(jiān)測及分析領(lǐng)域的發(fā)展趨勢和未來挑戰(zhàn)，以期為電力系統(tǒng)的安全、高效運行提供理論支持和實踐指導(dǎo)。Withthecontinuousexpansionandincreasingcomplexityofmodernpowersystems,dynamicmonitoringandanalysisofpowersystemshavebecomethekeytoensuringthesafeandstableoperationofthepowergrid.ThisarticleaimstoexplorethedynamicmonitoringandanalysisofpowersystemsbasedonWideAreaMeasurementSystem(WAMS).WAMSprovidescomprehensivedynamicdatasupportforthepowersystembycollectingandprocessingvariousinformationofthepowergridinreal-time,therebyachievingreal-timemonitoringandin-depthanalysisofthepowergridstatus.ThisarticlefirstintroducesthebasicprincipleandcompositionofWAMS,andthenanalyzesitsapplicationindynamicmonitoringofpowersystems,includingpowergridstateestimation,faultlocation,oscillationanalysis,etc.Next,thisarticleexploresthedynamicanalysismethodsofpowersystemsbasedonWAMS,suchastime-domainsimulationandfrequency-domainanalysis,andstudiestheroleofthesemethodsinstableoperationandfaultresponseofpowersystems.ThisarticlewillalsolookforwardtothedevelopmenttrendsandfuturechallengesofWAMSinthefieldofdynamicmonitoringandanalysisofpowersystems,inordertoprovidetheoreticalsupportandpracticalguidanceforthesafeandefficientoperationofpowersystems.二、WAMS技術(shù)概述OverviewofWAMStechnologyWAMS，即廣域測量系統(tǒng)（WideAreaMeasurementSystem），是近年來在電力系統(tǒng)領(lǐng)域得到廣泛應(yīng)用的一種先進監(jiān)測技術(shù)。它利用現(xiàn)代通信技術(shù)和高速數(shù)據(jù)傳輸網(wǎng)絡(luò)，實現(xiàn)了對電力系統(tǒng)運行狀態(tài)的實時、動態(tài)監(jiān)測，為電力系統(tǒng)的安全穩(wěn)定運行提供了有力保障。WAMS,alsoknownasWideAreaMeasurementSystem,isanadvancedmonitoringtechnologywidelyusedinthefieldofpowersystemsinrecentyears.Itutilizesmoderncommunicationtechnologyandhigh-speeddatatransmissionnetworkstoachievereal-timeanddynamicmonitoringoftheoperatingstatusofthepowersystem,providingstrongguaranteesforthesafeandstableoperationofthepowersystem.WAMS系統(tǒng)主要由相量測量單元（PMU）、通信網(wǎng)絡(luò)和數(shù)據(jù)處理中心三部分組成。PMU是WAMS的核心設(shè)備，能夠?qū)崟r測量并發(fā)送電力系統(tǒng)中關(guān)鍵節(jié)點的電壓相量、電流相量等信息。這些信息通過高速通信網(wǎng)絡(luò)傳輸?shù)綌?shù)據(jù)處理中心，經(jīng)過特定的算法處理后，可以生成反映電力系統(tǒng)運行狀態(tài)的實時動態(tài)畫面，為運行人員提供決策支持。TheWAMSsystemmainlyconsistsofthreeparts:aphasormeasurementunit(PMU),acommunicationnetwork,andadataprocessingcenter.PMUisthecoredeviceofWAMS,whichcanmeasureandsendreal-timevoltagephasor,currentphasor,andotherinformationofkeynodesinthepowersystem.Theseinformationaretransmittedtothedataprocessingcenterthroughhigh-speedcommunicationnetworks,andafterbeingprocessedbyspecificalgorithms,theycangeneratereal-timedynamicimagesthatreflecttheoperatingstatusofthepowersystem,providingdecisionsupportforoperators.WAMS技術(shù)的主要優(yōu)勢在于其全局性和實時性。傳統(tǒng)的電力系統(tǒng)監(jiān)測方法往往只能對局部區(qū)域進行監(jiān)測，難以全面掌握電力系統(tǒng)的整體運行狀態(tài)。而WAMS技術(shù)則可以通過遍布電力系統(tǒng)的PMU設(shè)備，實現(xiàn)對整個電力系統(tǒng)的全局監(jiān)測，為運行人員提供更為全面、準(zhǔn)確的信息。WAMS技術(shù)還具有極高的實時性，能夠在短時間內(nèi)完成對電力系統(tǒng)運行狀態(tài)的測量、傳輸和處理，為運行人員提供實時動態(tài)畫面，幫助他們及時發(fā)現(xiàn)和處理潛在的安全隱患。ThemainadvantagesofWAMStechnologylieinitsglobalandreal-timecapabilities.Traditionalpowersystemmonitoringmethodsoftenonlymonitorlocalareas,makingitdifficulttocomprehensivelygrasptheoveralloperatingstatusofthepowersystem.WAMStechnologycanachieveglobalmonitoringoftheentirepowersystemthroughPMUdevicesdistributedthroughoutthepowersystem,providingoperatorswithmorecomprehensiveandaccurateinformation.WAMStechnologyalsohasextremelyhighreal-timeperformance,whichcancompletethemeasurement,transmission,andprocessingoftheoperatingstatusofthepowersysteminashortperiodoftime,providingreal-timedynamicimagesforoperatorstohelpthemdiscoveranddealwithpotentialsafetyhazardsinatimelymanner.在電力系統(tǒng)動態(tài)監(jiān)測及分析研究中，WAMS技術(shù)發(fā)揮著重要作用。通過WAMS系統(tǒng)，運行人員可以實時監(jiān)測電力系統(tǒng)的運行狀態(tài)，掌握關(guān)鍵節(jié)點的電壓、電流等信息，及時發(fā)現(xiàn)和處理潛在的故障和隱患。通過對這些實時數(shù)據(jù)的分析處理，還可以為電力系統(tǒng)的規(guī)劃和運行提供決策支持，提高電力系統(tǒng)的安全穩(wěn)定水平。WAMStechnologyplaysanimportantroleinthedynamicmonitoringandanalysisresearchofpowersystems.ThroughtheWAMSsystem,operatorscanmonitortheoperationstatusofthepowersysteminrealtime,graspthevoltage,currentandotherinformationofkeynodes,andtimelydiscoverandhandlepotentialfaultsandhiddendangers.Byanalyzingandprocessingthesereal-timedata,decisionsupportcanalsobeprovidedfortheplanningandoperationofthepowersystem,improvingthesafetyandstabilitylevelofthepowersystem.WAMS技術(shù)作為一種先進的電力系統(tǒng)監(jiān)測技術(shù)，具有全局性、實時性等優(yōu)點，在電力系統(tǒng)動態(tài)監(jiān)測及分析研究中發(fā)揮著重要作用。隨著技術(shù)的不斷發(fā)展和完善，WAMS技術(shù)將在未來的電力系統(tǒng)中發(fā)揮更加重要的作用。WAMStechnology,asanadvancedpowersystemmonitoringtechnology,hasadvantagessuchasglobalandreal-timeperformance,andplaysanimportantroleindynamicmonitoringandanalysisresearchofpowersystems.Withthecontinuousdevelopmentandimprovementoftechnology,WAMStechnologywillplayamoreimportantroleinthefuturepowersystem.三、基于WAMS的電力系統(tǒng)動態(tài)監(jiān)測方法AWAMSbaseddynamicmonitoringmethodforpowersystems隨著寬帶通信技術(shù)和同步相量測量技術(shù)（WideAreaMeasurementSystem，WAMS）的快速發(fā)展，基于WAMS的電力系統(tǒng)動態(tài)監(jiān)測方法成為了現(xiàn)代電力系統(tǒng)研究的重要方向。WAMS通過高速通信網(wǎng)絡(luò)，實現(xiàn)了對電網(wǎng)關(guān)鍵節(jié)點同步相量的實時測量，為電力系統(tǒng)的動態(tài)監(jiān)測提供了有力支持。WiththerapiddevelopmentofbroadbandcommunicationtechnologyandWideAreaMeasurementSystem(WAMS),thedynamicmonitoringmethodofpowersystembasedonWAMShasbecomeanimportantdirectionofmodernpowersystemresearch.WAMSachievesreal-timemeasurementofsynchronousphasorsatkeynodesinthepowergridthroughhigh-speedcommunicationnetworks,providingstrongsupportfordynamicmonitoringofthepowersystem.基于WAMS的電力系統(tǒng)動態(tài)監(jiān)測方法主要包括以下幾個步驟：通過安裝在電網(wǎng)關(guān)鍵節(jié)點的相量測量單元（PMU）實時采集電網(wǎng)的電壓和電流相量數(shù)據(jù)，這些數(shù)據(jù)包含了電網(wǎng)的動態(tài)運行狀態(tài)信息。然后，通過高速通信網(wǎng)絡(luò)將這些數(shù)據(jù)實時傳輸?shù)綌?shù)據(jù)中心，進行集中處理和分析。ThedynamicmonitoringmethodofpowersystembasedonWAMSmainlyincludesthefollowingsteps:real-timecollectionofvoltageandcurrentphasordataofthepowergridthroughthephasormeasurementunit(PMU)installedatkeynodesofthepowergrid,whichincludesthedynamicoperatingstatusinformationofthepowergrid.Then,thesedataaretransmittedinreal-timetothedatacenterthroughhigh-speedcommunicationnetworksforcentralizedprocessingandanalysis.在數(shù)據(jù)中心，通過對采集到的相量數(shù)據(jù)進行處理和分析，可以實時監(jiān)測電網(wǎng)的頻率、功角、電壓等關(guān)鍵參數(shù)的變化情況，從而掌握電網(wǎng)的動態(tài)運行狀態(tài)。還可以利用WAMS提供的豐富數(shù)據(jù)資源，進行電網(wǎng)的振蕩分析、故障定位、穩(wěn)定性評估等高級應(yīng)用。Inthedatacenter,byprocessingandanalyzingthecollectedphasordata,itispossibletomonitorthechangesinkeyparameterssuchasfrequency,powerangle,andvoltageofthepowergridinrealtime,therebymasteringthedynamicoperationstatusofthepowergrid.ItisalsopossibletoutilizetherichdataresourcesprovidedbyWAMSforadvancedapplicationssuchaspowergridoscillationanalysis,faultlocation,andstabilityevaluation.與傳統(tǒng)的電力系統(tǒng)監(jiān)測方法相比，基于WAMS的電力系統(tǒng)動態(tài)監(jiān)測方法具有更高的實時性、準(zhǔn)確性和全面性。它能夠?qū)崟r監(jiān)測電網(wǎng)的動態(tài)運行狀態(tài)，及時發(fā)現(xiàn)電網(wǎng)運行中的異常和故障，為電力系統(tǒng)的安全穩(wěn)定運行提供了有力保障。Comparedwithtraditionalpowersystemmonitoringmethods,WAMSbasedpowersystemdynamicmonitoringmethodshavehigherreal-time,accuracy,andcomprehensiveness.Itcanmonitorthedynamicoperationstatusofthepowergridinrealtime,timelydetectanomaliesandfaultsintheoperationofthepowergrid,andprovidestrongguaranteesforthesafeandstableoperationofthepowersystem.然而，基于WAMS的電力系統(tǒng)動態(tài)監(jiān)測方法也面臨一些挑戰(zhàn)和問題。例如，如何保證數(shù)據(jù)的實時性和準(zhǔn)確性、如何處理海量數(shù)據(jù)、如何提高算法的效率和精度等。未來，隨著技術(shù)的不斷進步和應(yīng)用需求的不斷提高，基于WAMS的電力系統(tǒng)動態(tài)監(jiān)測方法將不斷完善和發(fā)展，為電力系統(tǒng)的安全穩(wěn)定運行提供更加可靠的技術(shù)支持。However,thedynamicmonitoringmethodofpowersystemsbasedonWAMSalsofacessomechallengesandproblems.Forexample,howtoensurethereal-timeandaccuracyofdata,howtohandlemassiveamountsofdata,andhowtoimprovetheefficiencyandaccuracyofalgorithms.Inthefuture,withthecontinuousprogressoftechnologyandtheincreasingdemandforapplications,WAMSbaseddynamicmonitoringmethodsforpowersystemswillcontinuetoimproveanddevelop,providingmorereliabletechnicalsupportforthesafeandstableoperationofpowersystems.四、基于WAMS的電力系統(tǒng)動態(tài)分析技術(shù)WAMSbaseddynamicanalysistechnologyforpowersystems隨著電網(wǎng)規(guī)模的不斷擴大和電力電子設(shè)備的大量應(yīng)用，電力系統(tǒng)的動態(tài)行為變得越來越復(fù)雜。因此，對電力系統(tǒng)進行動態(tài)監(jiān)測和分析，以確保其安全穩(wěn)定運行，已成為當(dāng)前電力行業(yè)的重要研究課題?；趶V域測量系統(tǒng)（WAMS）的電力系統(tǒng)動態(tài)分析技術(shù)，以其全局性、實時性和高精度性，為電力系統(tǒng)的動態(tài)行為研究提供了新的手段。Withthecontinuousexpansionofthepowergridandthewidespreadapplicationofpowerelectronicequipment,thedynamicbehaviorofthepowersystemhasbecomeincreasinglycomplex.Therefore,dynamicmonitoringandanalysisofthepowersystemtoensureitssafeandstableoperationhasbecomeanimportantresearchtopicinthecurrentpowerindustry.ThedynamicanalysistechnologyofpowersystemsbasedonWideAreaMeasurementSystems(WAMS)providesanewmeansforstudyingthedynamicbehaviorofpowersystemswithitsglobal,real-time,andhigh-precisioncharacteristics.基于WAMS的電力系統(tǒng)動態(tài)分析技術(shù)主要包括動態(tài)狀態(tài)估計、振蕩檢測和識別、暫態(tài)穩(wěn)定分析等方面。動態(tài)狀態(tài)估計技術(shù)利用WAMS提供的豐富測量信息，對電力系統(tǒng)的狀態(tài)進行實時估計，為后續(xù)的動態(tài)分析提供準(zhǔn)確的基礎(chǔ)數(shù)據(jù)。振蕩檢測和識別技術(shù)通過對WAMS數(shù)據(jù)的分析，可以及時發(fā)現(xiàn)并識別電力系統(tǒng)中的振蕩現(xiàn)象，為振蕩的抑制和控制提供決策依據(jù)。暫態(tài)穩(wěn)定分析技術(shù)利用WAMS提供的同步相量數(shù)據(jù)，對電力系統(tǒng)在故障后的暫態(tài)過程進行模擬和分析，以評估系統(tǒng)的暫態(tài)穩(wěn)定性。ThedynamicanalysistechnologyofpowersystemsbasedonWAMSmainlyincludesdynamicstateestimation,oscillationdetectionandidentification,transientstabilityanalysis,andotheraspects.DynamicstateestimationtechnologyutilizestherichmeasurementinformationprovidedbyWAMStoestimatethereal-timestateofthepowersystem,providingaccuratebasicdataforsubsequentdynamicanalysis.TheoscillationdetectionandidentificationtechnologycantimelydetectandidentifyoscillationphenomenainthepowersystemthroughtheanalysisofWAMSdata,providingdecision-makingbasisforthesuppressionandcontrolofoscillations.TransientstabilityanalysistechnologyutilizessynchronousphasordataprovidedbyWAMStosimulateandanalyzethetransientprocessofpowersystemsafterfaults,inordertoevaluatethetransientstabilityofthesystem.在實際應(yīng)用中，基于WAMS的電力系統(tǒng)動態(tài)分析技術(shù)已經(jīng)取得了顯著的成果。例如，在電網(wǎng)故障分析中，通過利用WAMS提供的同步相量數(shù)據(jù)，可以準(zhǔn)確快速地定位故障發(fā)生的位置和原因，為故障的恢復(fù)提供有力支持。在電力系統(tǒng)的規(guī)劃和運行中，基于WAMS的動態(tài)分析技術(shù)也可以為系統(tǒng)的優(yōu)化調(diào)度和穩(wěn)定運行提供科學(xué)依據(jù)。Inpracticalapplications,thedynamicanalysistechnologyofpowersystemsbasedonWAMShasachievedsignificantresults.Forexample,inpowergridfaultanalysis,byutilizingsynchronizedphasordataprovidedbyWAMS,thelocationandcauseoffaultscanbeaccuratelyandquicklylocated,providingstrongsupportforfaultrecovery.Intheplanningandoperationofthepowersystem,thedynamicanalysistechnologybasedonWAMScanalsoprovidescientificbasisfortheoptimizationschedulingandstableoperationofthesystem.然而，基于WAMS的電力系統(tǒng)動態(tài)分析技術(shù)仍面臨一些挑戰(zhàn)和問題。例如，WAMS數(shù)據(jù)的處理和分析方法需要進一步完善和優(yōu)化，以提高分析的準(zhǔn)確性和效率。隨著電力系統(tǒng)規(guī)模的擴大和復(fù)雜性的增加，如何有效利用WAMS數(shù)據(jù)進行大規(guī)模的動態(tài)分析也是一個亟待解決的問題。However,thedynamicanalysistechnologyofpowersystemsbasedonWAMSstillfacessomechallengesandproblems.Forexample,theprocessingandanalysismethodsofWAMSdataneedtobefurtherimprovedandoptimizedtoimprovetheaccuracyandefficiencyofanalysis.Withtheexpansionofpowersystemscaleandtheincreaseincomplexity,howtoeffectivelyutilizeWAMSdataforlarge-scaledynamicanalysisisalsoanurgentproblemtobesolved.基于WAMS的電力系統(tǒng)動態(tài)分析技術(shù)為電力系統(tǒng)的安全穩(wěn)定運行提供了新的手段和方法。未來，隨著技術(shù)的不斷發(fā)展和完善，相信這一技術(shù)將在電力系統(tǒng)的動態(tài)行為研究和應(yīng)用中發(fā)揮更大的作用。ThedynamicanalysistechnologyofpowersystembasedonWAMSprovidesnewmeansandmethodsforthesafeandstableoperationofpowersystem.Inthefuture,withthecontinuousdevelopmentandimprovementoftechnology,itisbelievedthatthistechnologywillplayagreaterroleintheresearchandapplicationofdynamicbehaviorinthepowersystem.五、案例分析Caseanalysis為了驗證基于WAMS的電力系統(tǒng)動態(tài)監(jiān)測及分析研究的有效性，本文選取了一個典型的電力系統(tǒng)故障案例進行詳細分析。該案例發(fā)生在某大型電力網(wǎng)絡(luò)中的一次短路故障，故障發(fā)生后，系統(tǒng)的動態(tài)行為受到了嚴重影響，需要進行實時監(jiān)測和分析。InordertoverifytheeffectivenessofWAMSbaseddynamicmonitoringandanalysisofpowersystems,thispaperselectsatypicalpowersystemfaultcasefordetailedanalysis.Thiscaseoccurredduringashortcircuitfaultinalargepowernetwork,andafterthefaultoccurred,thedynamicbehaviorofthesystemwasseriouslyaffected,requiringreal-timemonitoringandanalysis.通過WAMS系統(tǒng)，我們獲取了故障發(fā)生前后的電網(wǎng)運行數(shù)據(jù)，包括電壓、電流、功率等關(guān)鍵參數(shù)。然后，利用動態(tài)監(jiān)測技術(shù)，對電網(wǎng)的動態(tài)行為進行了實時監(jiān)測，發(fā)現(xiàn)電網(wǎng)在故障發(fā)生后出現(xiàn)了明顯的振蕩現(xiàn)象，且振蕩頻率較高，持續(xù)時間較長。ThroughtheWAMSsystem,weobtainedoperationaldataofthepowergridbeforeandaftertheoccurrenceoffaults,includingkeyparameterssuchasvoltage,current,andpower.Then,usingdynamicmonitoringtechnology,real-timemonitoringofthedynamicbehaviorofthepowergridwascarriedout,anditwasfoundthattherewasasignificantoscillationphenomenoninthepowergridafterthefaultoccurred,withahighfrequencyandlongdurationofoscillation.接著，我們利用WAMS系統(tǒng)提供的大量數(shù)據(jù)，結(jié)合動態(tài)監(jiān)測結(jié)果，對電網(wǎng)的振蕩現(xiàn)象進行了深入的分析。通過分析，我們發(fā)現(xiàn)電網(wǎng)的振蕩是由于短路故障導(dǎo)致的，且振蕩的頻率和持續(xù)時間與故障的位置和嚴重程度密切相關(guān)。我們還發(fā)現(xiàn)電網(wǎng)中的某些關(guān)鍵設(shè)備在振蕩過程中出現(xiàn)了過載現(xiàn)象，存在潛在的安全隱患。Next,weutilizedalargeamountofdataprovidedbytheWAMSsystem,combinedwithdynamicmonitoringresults,toconductanin-depthanalysisoftheoscillationphenomenoninthepowergrid.Throughanalysis,wefoundthattheoscillationofthepowergridiscausedbyshort-circuitfaults,andthefrequencyanddurationoftheoscillationarecloselyrelatedtothelocationandseverityofthefaults.Wealsofoundthatsomekeyequipmentinthepowergridexperiencedoverloadduringtheoscillationprocess,posingpotentialsafetyhazards.基于以上分析，我們提出了相應(yīng)的控制措施，包括調(diào)整電網(wǎng)的運行參數(shù)、優(yōu)化設(shè)備的配置等，以減小電網(wǎng)的振蕩幅度，提高電網(wǎng)的穩(wěn)定性。我們還對電網(wǎng)中的關(guān)鍵設(shè)備進行了加強和維護，消除了潛在的安全隱患。Basedontheaboveanalysis,weproposecorrespondingcontrolmeasures,includingadjustingtheoperatingparametersofthepowergrid,optimizingequipmentconfiguration,etc.,toreducetheoscillationamplitudeofthepowergridandimproveitsstability.Wehavealsostrengthenedandmaintainedkeyequipmentinthepowergrid,eliminatingpotentialsafetyhazards.通過本次案例分析，驗證了基于WAMS的電力系統(tǒng)動態(tài)監(jiān)測及分析研究的有效性和實用性。也為我們進一步深入研究電力系統(tǒng)動態(tài)行為提供了有益的參考和借鑒。Throughthiscasestudy,theeffectivenessandpracticalityofWAMSbaseddynamicmonitoringandanalysisresearchinpowersystemshavebeenverified.Thisalsoprovidesuswithusefulreferencesandinsightsforfurtherin-depthresearchonthedynamicbehaviorofthepowersystem.六、結(jié)論與展望ConclusionandOutlook本文深入研究了基于廣域測量系統(tǒng)（WAMS）的電力系統(tǒng)動態(tài)監(jiān)測及分析技術(shù)，通過理論探討、仿真實驗和實際應(yīng)用案例分析，全面展示了WAMS在電力系統(tǒng)動態(tài)行為監(jiān)測、故障識別、穩(wěn)定性分析等方面的優(yōu)勢和潛力。ThisarticledelvesintothedynamicmonitoringandanalysistechnologyofpowersystemsbasedonWideAreaMeasurementSystems(WAMS).Throughtheoreticalexploration,simulationexperiments,andpracticalapplicationcaseanalysis,itcomprehensivelydemonstratestheadvantagesandpotentialofWAMSindynamicbehaviormonitoring,faultidentification,stabilityanalysis,andotheraspectsofpowersystems.結(jié)論方面，本文的研究表明，WAMS作為一種先進的電網(wǎng)監(jiān)測系統(tǒng)，能夠?qū)崿F(xiàn)對電力系統(tǒng)動態(tài)過程的實時監(jiān)測和高精度數(shù)據(jù)分析，為電網(wǎng)的穩(wěn)定運行和安全控制提供了有力支持。通過WAMS獲取的同步、高速的電網(wǎng)運行數(shù)據(jù)，可以準(zhǔn)確捕捉電網(wǎng)的動態(tài)行為特征，有效識別潛在的故障和不穩(wěn)定因素，為電網(wǎng)調(diào)度和運行人員提供決策依據(jù)?；赪AMS的電力系統(tǒng)穩(wěn)定性分析方法，能夠綜合考慮電網(wǎng)的各種復(fù)雜因素，實現(xiàn)對電網(wǎng)穩(wěn)定性的全面評估和優(yōu)化控制。Intermsofconclusion,thisstudyindicatesthatWAMS,asanadvancedpowergridmonitoringsystem,canachievereal-timemonitoringandhigh-precisiondataanalysisofthedynamicprocessofthepowersystem,providingstrongsupportforthestableoperationandsafetycontrolofthepowergrid.Thesynchronousandhigh-speedpowergridoperationdataobtainedthroughWAMScanaccuratelycapturethedynamicbehaviorcharacteristicsofthepowergrid,effectivelyidentifypotentialfaultsandunstablefac