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1 cmc2016 Solar Storms: Risks to Electric Power Systems Chathan M. Cooke MIT, RLE, Laboratory for Electromagnetic and Electronics Systems, High Voltage Laboratory, Cambridge, MA, USA Tuesday, March 15, 2016 Swiss RE Centre for Global Dialogue, Ruschlikon/Zurich Expert Hearing on Solar Storms, Electric Power Systems 3d
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Page 1: Solar Storms: Risks to Electric Power Systems7f320106-76ec-4d5f... · Core Concepts for GMD Power System Risks 1. Inherent Collapse due to Self – Preservation A) Wide-area recovery

1cmc2016

Solar Storms: Risks to Electric Power Systems

Chathan M. Cooke MIT, RLE, Laboratory for Electromagnetic and Electronics Systems, High Voltage Laboratory, Cambridge, MA, USA

Tuesday, March 15, 2016 Swiss RE Centre for Global Dialogue, Ruschlikon/Zurich

Expert Hearing on Solar Storms, Electric Power Systems

3d

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Discussion Topics Outline

•  Power System Limits: Self-Preservation Conflict - Simultaneity vulnerability

•  Solar Storms: - Coupling to Earth - Coupling to Power Systems - Solar Variations

•  Models: Features, Uncertainties

•  Apparatus: Heating, Harmonics •  Key Limits/Actions Today: Models, Impact Calculations

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‘Bad’ Things Do Happen !!!

How to be Prepared ?

DesertWellsNevadaVia:UniversityLibrariesUniversityofNevadaNevadaMagazine2016

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Core Concepts for GMD Power System Risks

1.  Inherent Collapse due to Self – Preservation A)Wide-arearecoveryprocess,Black-starts

2.  Abnormal Injected Perturbation Energy

3.  Inadequate Models

4.  Unknown / Variable Parameters

5.  Unknown Solar Event Size/Extent

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Power System: Two Major Conflicting Requirements:

1. Protect itself from Self-Destruction

2.  Always supply electric power to customers

In the end ‘1’ takes Priority: (Temporary Collapse vs ‘Permanent’ Damage)

(Example:ThesuddenSIMULTANEOUSoutageof‘3ormore’largesourceswillbringmostpowersystemstocollapse.)

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The biggest risk from Large GMD Events is Tipping Point; ‘Simultaneity’

1.  The system designed to tolerate ‘local’ failure

2. The system cannot tolerate many ‘source’ failures over a wide area region

example:

(Ice Storm of 1998 on HydroQuebec grid)

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Simultaneity – Warm & Cold

hXp://alaingazon.ca/Meteo/verglas.html

BetweenJanuary5and10,1998,Québecexperiencedexcep_onallyharshweathercondi_onsasthreesuccessivestormsle`upto110mmoficeoverthesouthoftheprovince.Thoughrobustandwell-maintained,theHydro-Québecgridsufferedunprecedenteddamage.

cold

warm meet

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Self-Preservation First !!!

hXps://en.wikipedia.org/wiki/Hydro-Quebec’s_electricity_transmission_system

a)  Thousandsofpoles,towersandkilometersoflinesfell.

b)  Inarea100by250kilometres,some116transmissionlineswereoutofcommission,includingseveralmajor735kVpowerlinesandtheQuebec–NewEnglandHVDC±450kVline.

c)  Attheheightoftheblackout,some1.5millionhomesandcustomers,housingthreetomorethanfourmillionpeople,wereinthedark.

d)  Blackoutsinsomeareaslastedfor33days,and90%ofthoseaffectedbytheblackouthadnopowerformorethansevendays.

e)  Eventually,the$1billionlevelwasmet–andhandilyexceeded–andforcloseto15years,theGreatIceStormof1998remainedasthecostliestinsurednaturalcatastropheinCanadianhistory.

hXps://merelmarc.wordpress.com/2014/02/12/la-crise-du-verglas-de-1998/

hXp://www.iclr.org/icestorm98insurance.html

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Lessons Learned ?? “Ifthe1998stormhappenednow,howwouldthepowersystemrespond?”1)Restora_on_meswouldbemuchshorter.

Reinforcedthegrid,suchascrea_ngloops,strengtheningfacili_esandpruningtrees,reducesthenumberofcustomersaffectedandtheextentofdamage.Repaireffortswouldthusbemorelocalizedandtakeless_me.

hXp://news.hydroquebec.com/en/news/116/ice-storm-1998-15-years-later/

2)Certain---construc_onstandardsandmethods---helptomakethepowersystemmorerobust.

MajorresearchanddevelopmenteffortstobeXerunderstandeventsandtostrengthenfacili_esbeganimmediatelya`ertheicestormandcon_nuetoday.TestlineshavebeenbuiltatHydro-Québec’sresearchins_tute,IREQ,inordertoreplicateicingcondi_ons,andtotestandvalidatespecificdesignsandparameters.

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Causes for Extended Duration Outages

1.  Destroyed essential elements (long-time repair)

A.  Energytransportelements(ex.Transformers,T-lines,compensators)B.  Measurementandcontrolelements(ex.CTs,VTs,VARcontrol,PMU)

2.  Damaged essential elements, which then fail later.

3.  Loss of system control communications

A.  SCADA,intranet,satellites(ex.GPS_me-stamp)

4.  Lack of raw materials/energy/transportation

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Solar Storms – Premonitions ?

1970:Albertson,Baelen

[Calculated]E-fieldshavesufficientmagnitudetocausedisturbancesonpowersystems,andareinagreementwithpreviouslyrecordedvalues.---regionswithlowconduc_vityaremoresuscep_bletomagne_cstormdisturbances.

[|Eo|3.4V/km,at500nT,for1-60min]

1972:Albertson,etal

Theimportanceoflocalizedinternalhea_nginpowertransformersdueto[GIC]ispresented.[GICof5-100ampereandmore,forminutes]

1973:Albertson,Thorson

K-8StormofAugust1972:Geomagne_cstormsproducequasi-dccurrentsin60Hzelectricpowersystems.Thesespuriousdccurrentscausedundesirableequipmentandsystemopera_ngeffects.---load-flowstudiesmadewithGICpresentinlargeinterconnectedpowersystemsinNorthAmerica

1981:Albertson,etal

THEN:1989HydroquebecGICBlackout

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Power System GMD Event Response

Lessons:the1989Hydro-QuebecGMDevent:

‘DC’ Induced Harmonics (via Transformer Magnetic Saturation)

1.  Voltageregula_ngSVCsmalfunc_on->tripmajorTLines2.  Lossofmajorgenera_on->frequencycollapse3.  Unabletoshedloadfastenough->furtherfrequencycollapse4.  Self-protec_onshutdown->lackofadequatea`erfailure

strategies

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The 2nd Biggest Risk from large GMDs on Grids is the Abnormal Unknown

Injected Energy

1.  Abnormal Energy enters Grid via highly non-standard paths A.  ‘DC’GroundRiseNOTencounteredexceptwithGMDs,NOdesignexperience

2.  Added abnormal energy causes unknown (unexpected) consequences [harmonics, heating]

A.Howmuch,howlong,where?

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The 3nd Biggest Risk from large GMDs is ‘Inadequate Models’

1.  Simulation Circuit Models

A)  Couplingfrommagne_cfieldtoinducedearthvoltages

B)  InducedearthvoltagesthatcauseGICs§  Source‘In-Earth’,not‘on-lines’

C)GICeffects‘spread’intonetworkandload-flow

2. Transformer thermal models with ‘DC’ 3. Unexpected System Response

circuit example: NERC (2014) vs Albertson (1981)

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Inadequate Models enhance Risk from large GMD caused Power Apparatus Damage

1.  Transformer over-heating with ‘DC’ A)Hea_ngofWindingsB)  Hea_ngofancillarypartsC)  Roleofharmonicsfrequencyvsstrayfluxloca_onand

magnitudeD)  Howto‘harden’transformerdesignfromGMDsE)  Add‘fastdetectandprotect’controloftransformers

2.  VAR stabilizers 3.  Measurement/control devices

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GIC Model: Actual Structure

Albertson1981,Wait1952

EarthisNOTanEquipoten_al

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GIC Model: Actual Structure

Lindahl2003

EarthisNOTanEquipoten_al

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GIC Model: Actual Structure

Albertson1981

DifferentEarthSurfacePoten_alsatEveryEarthContact

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GIC Model: ‘NERC’ Circuit Conflict

[ApparentlyUsedBy:World-Power,andPSS®E;Boteler,Overbye,PirjolaandSiemens]

SOURCESNOTINEARTH

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GIC Model: ‘NERC’ Circuit Conflict

‘In-Line’equivalentcircuitemployedbyPSS@Esimulator[Siemens2014]

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GIC Model: ‘NERC’ Circuit Conflict

EquivalentCircuitforin-lineandin-earthvoltagesourcemodel[boteler]

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The 4th biggest risk is from uncertain parameters and values

1.  Induced earth surface voltages that cause GICs A)  Effec_veearthresistanceB)  WhereGICstravelinsystem

2. Transformer losses with harmonics

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Uncertain Earth Resistivity

Ey(ω ) = −Z(ω )

µBx(ω )

EarthSurfacePoten_alDirectlychangedbyearthvolumeresis_vity:

[refnato2005]

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Transformer Heating Models

nerc-std-GICthermStep5A

[nercTPL-007-1.2014]

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Transformer Heating Models

nerc-std-xfrmrGICtherms-Fig12

[nercTPL-007-1.2014]

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Transformer Heating Models

girgis2013_GIC-hotSpot

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Transformer Heating Measurements

picher1997_GICthermRise-370MVA_HQ-ABB

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5th Risk Factor: Unknown ‘expected size’ of GMD event to tolerate

1.  Solar event size (magnitude/physical extent) •  Verylargeevent:<1ppmofsolardailyenergy•  Sta_s_csconsistentformany‘observables’

2.  Many ‘metrics’ for statistics •  CMEmass,energy•  EarthsurfaceB-fields,DST(equator),local•  EarthsurfaceE-fields•  Physicalextentoffieldperturba_ons

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Solar Event Stats

|E| (V/km)

# of 10 secper 100 yrs

108

106

104

102

100

10-3 10-2 10-1 100 101 102

blue = |E| (V/km) NERCgreen = |E| (V/km) pulkkinen hydroQbrown = |E| (V/km) pulkkinen BCgrape = Dst (nT) pulkkinen

105

|Dst| (nT)

# of 1 hour eventsper 100 yrs

103

101

100

103

# Eventsper 14 yrs

102

101

100

red = CME (mass) vourlidasred (dashed) = CME (mass) LASCO vourlidas

1015

CME mass (g)1016 1017 1018

101 102 103

SOLAR EVENT STATISITICS

cmc20161030

CME energy (erg)1031 1032 1033

10-1

10-2

10-3

10-4

spring = CME (energy) vourlidasProbability

100X

104

102

<1 ppmdaily solar

energy

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Very Large Solar Events "It'slikelythattheCarringtoneventwasalsoassociatedwithmul_pleerup_ons,andthismayturnouttobeakeyrequirementforextremeevents,"notesRiley."Infact,itseemsthatextremeeventsmayrequireanidealcombina_onofanumberofkeyfeaturestoproducethe'perfectsolarstorm.'"

IntheirDec.2013paper,Bakeretal.es_matedDstfortheJuly2012storm."IfthatCMEhadhitEarth,theresul_nggeomagne_cstormwouldhaveregisteredaDstof-1200,comparabletotheCarringtonEventandtwiceasbadastheMarch1989Quebecblackout."

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The Start of Troubles

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Power System GMD Effects 1)  Addedhea_ngduetoeddycurrenteffects

inmetallicpartswithinatransformerexposedtohighharmoniccontentmagne_cfields.

2)  Addedhea_ngwithintransformerwindingsduetothelargeaddedharmoniccurrents.

3)  Addedhea_ngwithintransformerwindingsduetoeddycurrentlossesinthewindingconductorsandnearbymetalvolumes.

4)  Theharmonicsproducedwithinatransformerpropagateintothepowersystemandcauseunplannedresponseofmeasurementapparatus

5)  Theharmonicsproducedwithinatransformerpropagateintothepowersystemandcauseunexpectedreactanceandsystemstabilityissues.

Hea_ng:highlysensi_ve

toamountanddura_onOfGICcurrents,EasilyexceedsStandardLevels

Unknownsensi_vityToamountanddura_on

OfGICcurrents

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Power Systems

twokeypathsforGMDeventstodisturbanelectricpowersystem

(1)istointroduceaddedabnormalenergyviaextendedpowerlines

(2)istodisturbcommunica_onssothepowersystemisinsomesense‘blinded’andlacksinforma_onneededfornormalopera_on.

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Insufficient Clarity of Response-1

•  Ambiguous basic electro-magnetic model for coupling GMD energy into the grid,

•  Unsubstantiated equivalent circuit models employed by utilities for calculations of the perturbation energy flow into the grid,

•  Uncertainty for earth resistivity and how much it changes with weather and climate, especially over the long term,

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Insufficient Clarity of Response-2

•  Restrictive assumptions about calculated transformer response to coupled GMD energy and lack of experimental test data,

•  Unknown criteria, models and testing for the impact of large GMD induced harmonic content,

•  Unknown criteria for and coordination of the impact of numerous simultaneous local outages over a broad area including recovery schemes and adequacy of ‘black-start’ contingencies.

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Insufficient Clarity of Response-3

•  Uncertain models and criteria to evaluate and access the impact of communications loss, especially with the expected greater reliance on centralized automated electronic controls.

•  Uncertain preparedness models to deal with large-scale simultaneous outages.

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Areas of Uncertainty of Risk

•  A validated agreed physical model for GMD energy coupling into the electric grid.

•  A validated agreed equivalent circuit to enable accurate calculations of GMD induced energy and currents in the electric power system.

•  A better understanding of earth resistivity effects, especially with regard to spatial variations and long-term global weather variations.

•  Full or near full-size tests for GMD current effects in loaded transformers, heating and harmonics production.

•  Validated modeling for wide area full system tolerance to total system harmonics production.

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Solar Storm Questions

(1)DoescompliancewithFERCdirec_ve“779”adequatelyinsurethatthedefinedBaselineeventwillactuallybetoleratedbycompliantpowersystems,and

(2)Whatdamage/riskcanbeexpectedforGMDeventsofevengreaterlevelsabovethedefinedBaselineevent?ThisBaselineeventisconsideredan‘extreme’eventbyitsauthors.

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What To-Do ‘Next’ to Reduce Risk

1.  Develop Quantified ‘Severity’ Scale –  Reliableearlywarningforecas_ngwithwellquan_fiedscaleofseverityof

approachingGMDeventsprovidednear-real-_metou_lityoperators,perhapsalogarithmicscalelikeearth-quakeRichter-Scale.

2.  Measure true ‘ground-rise’, Earth-Surface Potentials –  Over50kmby50kmminimumareagrid(2or3loca_ons)–  Atleast5yearobserva_onsminimum

3.  Validate simulation models, design practice –  Confirmaccurateposi_onforGICcircuitsources,impedances–  Improve,validatetransformerhea_ngmodels–  Improve,validatetransformerdesign/specifica_onguidesforGIC–  Improve,validateharmonic/stabilityeffectsonsystemduetoGIC

4.  Model very-wide region system impact –  Minimum½con_nent-widesimultaneoussolar-stormimpact–  Quan_fyimpactofwide-areacommunica_onsloss–  Includelocalsystemcollapseandrecovery

5.  Evaluate long-term parameter changes –  Climate-changeeffects(extremesensi_vityofresis_vity)

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Earthquake Quantification Example

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Thank You

and thanks to the internet for so many images, etc.


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