Real-Time Application of Synchrophasors for Improving Reliability
Micro-Synchrophasors for Distribuon Systems M… · Micro-synchrophasors (µPMUs) for Distribuon...
Transcript of Micro-Synchrophasors for Distribuon Systems M… · Micro-synchrophasors (µPMUs) for Distribuon...
Micro-SynchrophasorsforDistribu4onSystems
Dr.Alexandra(Sascha)vonMeierDirector,ElectricGridResearch,CaliforniaIns6tuteforEnergyandEnvironmentAdjunctProfessor,Dept.ofElectricalEngineeringandComputerScienceUniversityofCalifornia,[email protected]
Micro-synchrophasors(µPMUs)forDistribu4onSystems
Three-year,$4.4MARPA-EOPEN2012project(2013-2016)ResearchpartnersCIEE,UCBerkeley,LawrenceBerkeleyLab,PowerStandardsLabFieldinstalla6onsatRiversidePublicU6li6es,SouthernCaliforniaEdison,PacificGas&Electric,AlabamaPower,GeorgiaPower,TennesseeValleyAuthority
TRADITIONALPMUNETWORKTransmissionSystem
μPMUNETWORKDistribu6onSystem
BTrDBserver
µPMU
µPMU
µPMU
µPMU
µPMU
(Yourpla\ormhere)
Micro-synchrophasornetworkconcept:Createvisibilityfordistribu4oncircuitsbehindthesubsta4ontosupportintegra4onofdistributedresources
GeneralProjectObjec4ves• developanetworkofhigh-precisionphasormeasurementunits(µPMUs)
tomeasurevoltagephaseangletowithin0.01o
• understandthevalueofvoltagephaseangleasastatevariableonpowerdistribu6onsystems
• exploreapplica6onsofµPMUdatafordistribu6onsystemstoimproveopera6ons,increasereliability,andenableintegra6onofrenewablesandotherdistributedresources
• evaluatetherequirementsforµPMUdatatosupportspecificdiagnos6candcontrolapplica6ons
• developT2Mopportuni6es
10-6 10-3
0.1o 1o 1 cycle
time scale in sec
GPS time stamp: differential absolute
clock accuracy
10-9 1
nanosecond microsecond millisecond
PowerStandardsLabµPMU
SCADA measurements
instrument sampling rate 512/cycle
phasor measurements
reported 120/sec
• builtonPQube3powerqualityrecorder• capableofpowerqualitymodewith512samplespercycle• timestampingtonsprecision,µsaccuracywithGPS• measuresvoltage¤t,magnitude&angle(12channels)• 100V~690Vinput• 120samplespersecondinPMUmode(eachchannel)• localdatabuffering+batching(2min),backupstorage• connec6vityviaEthernet,4Gwireless
www.powerstandards.com
• smallervoltageangledifferences• morenoiseinmeasurements
• differentX/Rra6os(reactance/resistanceofdistribu6onlines)
• unbalancedthree-phasesystems• distribu6onnetworkmodelstendtohavepoorfidelity• fewmeasuringpointscomparedtonetworknodes• lackofaccessandtoolstointegratewithotherdata,e.g.smartmeters
→verysmallsignal-to-noisera6o
→commonapproxima6onsrela6ngvoltagephasorstoimpedancesandpowerflowsarenotokay
→hardtodoafull“statees6ma6on”
Challengesfordistribu4onsynchrophasorsascomparedtotransmission:
Other Services
Other Services
Other Services
LocalBuffer
LocalBuffer
LocalBuffer
LocalBuffer...
Chunk Loader
Field Datacenter / Cloud Clients
BTrDBCluster
Distillate Framework Cluster
PlottingService
HTTP
MATLAB
IPython
etc ...
JSON / CSV
Analytics with 3rd party tools
Interactive visualization
Wired
Event Detection Service
Other Services
webapp
PMU
PMU
PMU
PMU
Internet
LTE modem
AddressingtheDataChallenge:BerkeleyTreeDatabase(BTrDB)
MichaelAndersen,UCBPresentlystreaming30+µPMUsat120Hz,12streamseach(VandImag&angle)
Sample4me-seriesdata
Frequencyevent
Sample4me-seriesdata
Frequencyevent(PacificDCInter6etrip)viewedinBTrDBploneratdifferent6meresolu6ons
Sample4me-seriesdata
Frequencyeventwithlocaloscilla;ons
Sample4me-seriesdata,showingsynchroniza4onofmagnitudemeasurements
Voltagedisturbancepropaga6onduetoarcflash:about0.0015p.u.atneighboringtransformerBank514and0.0003p.u.atPSL
OmidArdakanianandMichaelAndersen,UCB
Mul4-resolu4on(logarithmic)searchmadepossiblebycapturingsta6s6calfeaturesofdatastreamsatdifferentlevels
datapointsperpixel
minimumvalueduringinterval
OmidArdakanianandMichaelAndersen,UCB
Mul4-resolu4on(logarithmic)searchmadepossiblebycapturingsta6s6calfeaturesofdatastreamsatdifferentlevels
minimumvalueduringinterval
OmidArdakanianandMichaelAndersen,UCB
Mul4-resolu4on(logarithmic)searchmadepossiblebycapturingsta6s6calfeaturesofdatastreamsatdifferentlevels
individualsampleiden;fiedin~200ms
OmidArdakanianandMichaelAndersen,UCB
Architectureforeventsearchanddiagnos4cs
MichaelAndersenandOmidArdakanian,UCB
hVps://eventdetect.lbl.govrecruitexpertsforeventlabelingtobuildreferencelibrary
Modelvalida4on:useultra-preciseμPMUmeasurementstoconfirm,deny,orcorrectexis6ngmodelsofreal-worlddistribu6onnetworks:• Phase(ABC)connec/vityiden/fica/on.Rela6velystraigh\orward;main
challengeisaccoun6ngformul6pledelta-wyetransformersbetweenmeasurementpointsabsentreliablemodeldata.
• Linesegmentimpedancecalcula/on.Basedonmeasuredcurrentandvoltagephasorsateachendofthesegment.Trivialinprinciple(V=IZ)yetextremelychallenginginprac6ceduetothree-phaseasymmetryandPT/CTerrorsthatarelargecomparedtochangesalongalinesegment.
• PT/CTcalibra/on.Essen6alforasubsetofapplica6onsthatdependonhighlyaccurateμPMUmeasurementsatasinglepointin6metocharacterizethesteady-stateofopera6on(“statees6ma6onbased”applica6ons).
Distribu4onSynchrophasorApplica4ons-Overview
Distribu4onStateEs4ma4on:useμPMUmeasurementsinconjunc6onwithotheravailabledata(SCADA,AMI)toes6matethestatevariables(voltagephasors)throughoutanen6redistribu6onnetwork,includingunmonitorednodes.• LinearizedDSE:Severaltechniquesworkintheory.Sensi6vetonumberand
placementofµPMUs,andhingesonPT/CTcalibra6on.
Topologydetec4on:useμPMUmeasurementstoassesstheconnec6vityortopology(open/closedstateofswitches)ofadistribu6onnetwork.• ResidualStateEs/ma/onError:requiresprecisestatees6ma6on,seeabove.• Time-seriessignatureoftopologychanges:leverageshigh-resolu6onviewof
transi6ons.• SourceImpedancemethod:avariantofthe6me-seriessignatureapproach.
FaultLoca4on:useμPMUmeasurementstopreciselylocatefaults.Requiresvalidatedmodelwithimpedances;sensi6vetonumberandplacementofµPMUs,andhingesonPT/CTcalibra6on.
Distribu4onSynchrophasorApplica4ons,cont’d
Eventiden4fica4on:useμPMUmeasurementstodetectandexplaindisturbanceevents.Reliesonprecision6mestampsandhigh-resolu6on6me-seriesmeasurements,morethanonaccurateabsoluteorcompara6vemul6-loca6onmeasurementsatasinglepointin6me:• Automa/ceventdetec/onandno/fica/on.ScanµPMUdatabaseandissue
no6fica6onswhenanomaliesoccur,e.g.voltagesags;manyop6onsfordefiningthresholds.
• Eventclassifica/on.Categorizeevents,e.g.dis6nguishlocally-causedvs.transmission-levelvoltagesagsbycomparingsynchronizedmeasurementsfromdifferentloca6ons.
• Highimpedancefaultdetec/on.Dis6nguishbetweenfaultsandloadchanges,e.g.arcflashesandmotorstarts,bycomparingsynchronizedmeasurementsfromdifferentloca6ons.
• FIDVRdetec/on.Fault-induceddelayedvoltagerecovery,duetoaircondi6onersstalling:wehaven’tseenoneyet,butit’sboundtoshowup.
• Sta/s/caleventcharacteriza/onandlearning.Analysisbasedonlargenumbersofrapidqueries,madepossiblebyexponen6alsearchprocess.
Distribu4onSynchrophasorApplica4ons,cont’d
DistributedGenera4on(DG)andLoadCharacteriza4on:useμPMUstomeasureandunderstand6mevaria6onamongDGandloads,andhowDGaffectsdistribu6onnetworks:• DisaggregateDGfromload,behindnetmeter• Detectreversepowerflow.Phaseanglerevealsdirec6onofcurrent.
Notethatcurrentdoesnotcrosszerowhenrealpowerflowreverses,duetothepresenceofreac6vepower.
• AssessDGimpactsonfeedervoltagemagnitudeandvola/lity.Opportunitytoapplysta6s6calmethods.
• LoadCharacteriza/on.Assessloadvola6lityandvoltagedependencewithhigh-resolu6onmeasurementsandcorrela6ons.
Distribu4onSynchrophasorApplica4ons,cont’d
Phasor-BasedControl:useμPMUmeasurementstodeterminedesiredPandQinjec6onsorconsump6onbycontrollabledevices.Controlobjec6vesmayinclude,forexample:
• voltageprofilemanagement• lossminimiza/on• ancillaryservicescoordina/on• balancinggenera/onandloadonamicrogrid• microgridislandingdecisionsbasedongridbehavior• assistednetworkreconfigura/onbyphasormatchingacross
switchControldependsasuitablelineariza6onbetweenthephasorprofileandP,Qinjec6onsfortheunbalancedthree-phasecase.
Distribu4onSynchrophasorApplica4ons,cont’d
• PSLalreadymakingsalesofµPMUhardware
• Souwareandapplica6ontoolsareinvariousstatesofdevelopment,notquitereadyforcommercialsale
• Quick-startkitforu6litycustomersmarketedbyPSLthatallowsbasicaccesstoµPMUdataanddis6llatesforvisualiza6on
• OpensourcecodeforBTrDBavailableonGithub(GPLlicense)
• Teamhasconductedconversa6onswith25+poten6alcommercializa6onpartnerswhofocusonspecificapplica6onstobesupportedbyµPMUdata
• Pilotdemonstra6onswithu6litypartnersonspecificapplica6ons
• Relatedresearchprojectsonspecificapplica6ons:e.g.cybersecurity,PVplanning
• S6llfounda6onal,cross-cuvngresearchtobedone
TechtoMarketTransi4on
• Develop,testandrefinespecificdiagnos6ctoolsetsreadyforfieldimplementa6on
• Transducer(PT&CT)calibra6on
• Leveragethedis6llatestructure:applyinterac6veanaly6csandmachinelearningtoolsforanewdiagnos6cparadigm
• Explorecontrolapplica6ons,especiallyfordistributedenergyresources,insimula6onenvironmentsandsmallpilotstudies
• Buildandenhancepla\ormsforintegra6ngheterogeneousdatastreams
• Movefromeventdetec6onandforensicstoeventan6cipa6on
• Extendalgorithmstothethree-phaseunbalancedcase
Con4nuingResearchNeedsandOpportuni4es
26Photo:AlexMcEachern