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7/30/2019 Mechanism Design for the Smart Grid
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MechanismDesi n
f r h m r riValentinRobu,HarryRose,EnricoGerding, Sebastien Stein,
eorg os a a a s, am o a,
AlexRogersandNicholasR.Jennings
UniversityofSouthampton
6th April2011
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Outline
EnergyDomain
SmartGrid
a ro ect
MechanismDesi n
Demandaggregation
in
the
smart
grid
Otherwork
and
Conclusions
iDEaS :IntelligentDecentralisedEnergyAwareSystems 2
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Developmentandgrowthsincethestartof
FossilFuels
Coal(1800+)
Oil(1900+)
energycollectedover
m onso years
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Continueduseoffossilfuelsischallengedby
Finiteresources
Demandoutstri s
productioncapacity
Resourcesarenoteven y s r u e
ClimateChange
IncreasingatmosphericCO2concentration
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Addressingtheseissuesrequirechallenging
2008 Climate
Increasedenergy
efficiency
Change Act
t roug e ectri ication
Transport
HeatingLowcarbon
Wind
Solar Hydro
Nuclear
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Currentelectricitynetworksarechallenged
Ageinginfrastructuredesignedforasmall
numberof
large
generators
Supplyfollowsdemand
Peakdemand
FredSchweppe proposedtheneedforamore
ynam cgr
Spotpricingandhomeostaticcontrol
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TheSmartGridrepresentsamodernvision
flowingtogetherinrealtime,nearzeroeconomic
,
widerarrayofcustomizedenergychoices,suppliers
electricservices,
and
all
of
this
supported
by
anew
distributedintelligenceandresources,cleanpower,and
US Department of Energy (2009)
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TheiDEaSProjectisexploringroutesto
iDEaSProject:Intelligent
DecentralisedEner
Aware
S stems
www.ideasproject.info
Threeyear
privately
funded
by
industry
5researchfellows
6PhDstudents
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Outline
EnergyDomain
SmartGrid
a ro ect
MechanismDesi n
Demandaggregation
in
the
smart
grid
Otherwork
and
Conclusions
iDEaS :IntelligentDecentralisedEnergyAwareSystems 9
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Smartmetersareakeypartofthesmart
,
Smartmetersprovideutilitieswith
muchbetter
redictions
of
ener
consumption
Individualsalwayshavemoren orma onon u ure eman
anmec an sm es gn e pe c
thisadditionalinformation?
iDEaS :IntelligentDecentralisedEnergyAwareSystems 10
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Wemodelanumberofindividualhomes
.EnerInc
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Wemodelanumberofindividualhomes
If unitsactuallyused.
Bu
orsellin
difference
in
the
balancin
market
Balancingmarketbuysat
Chooseamounttobuyinforwardmarketsto
minimisetotalcost
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Canweelicitbetterestimatesfromthe
Consumersprovideestimateof
futureconsum tion
Doingso
incurs
acost
Consumerscan
misre ort
ifit
is
in
theirinteresttodoso.
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Simplesolutionistoevenlyallocatedshare
.Consumers Aggregators
Individual
consumptionsShare distributed
Number of consumers
TruthtellingisaNashequilibrium
Stronglybudgetbalanced
Doesntrewardmorepreciseestimates
iDEaS :IntelligentDecentralisedEnergyAwareSystems 14
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Usesphericalscoringruletoderivearule
.
Actual Consumers
Properties
Needstobescaledappropriately
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Usesphericalscoringruletoderivearule
.
Share distributedSavings made
Maximumprecision
Truthtellingisstrictlydominant
o erscores
Moreaccurateandpreciseestimatesrewarded
Weaklybudgetbalanced
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Althoughtruthtellingisdominant
precisionestimatethattheyactualgenerate
Weempirically
find
the
equilibrium
using
iteratedbestresponse
Ateachroundoftheiterationweassume
opponentsprecisions
are
fixed
fixedopponents
iDEaS :IntelligentDecentralisedEnergyAwareSystems 17
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Ourmechanismelicitsmoreprecise
.
iDEaS :IntelligentDecentralisedEnergyAwareSystems 18
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Ourmechanismelicitsmoreprecise
.
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Manyotherapplicationsrequireelicitationof
Virtualpowerplants(VVP)
Multi lesmall
scale
renewable
generatorscometogetherto
artici atewithinthe rid.
Morepredictable
generation
improvesgridplanningandwould
reduceexposureinbalancing
market
Combinewithelectricvehicles(estimatesofstorageandfeedin).
iDEaS :IntelligentDecentralisedEnergyAwareSystems 20
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Outline
EnergyDomain
SmartGrid
a ro ect
MechanismDesi n
Demandaggregation
in
the
smart
grid
Other
work
and
Conclusions
iDEaS :IntelligentDecentralisedEnergyAwareSystems 21
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Electricvehiclesareakeycomponentofthe
RangeextendedEVandpluginhybridEV
ChevroletVolt
ToyotaPrius plugin
iDEaS :IntelligentDecentralisedEnergyAwareSystems
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Thelocaldistributionnetworkmaybethe
LocalTransformer
(limited maximum
Localtransformeristypicallyundersized
EVrepresentsignificantextraload
Home 24kWhover24hours,EV 32kWhover8hour
iDEaS :IntelligentDecentralisedEnergyAwareSystems
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Twocurrentmethodsareusedtoattempt
TOUtarriff
Offerchea
overni ht
char in
to
discoura e
peaktimecharging
Collectrequirementsandautomaticallyschedule
Can
we
use
mechanism
design
to
overcome
theseproblems?
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Weconsideramodelofmodelthissetting
units of chargerequ re
units of chargeavailable
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Nonincreasingmarginalvaluationsoccur
Dualfuelpricing:
Priceof
fuel
(in
/litre),
Internalcombustionengineefficiency(miles/litre),
Electricefficiency(inmiles/kWh),
Distanceprobability
density
function,
Expectedutilityforgivencharge(inkWh)givenby:
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Asimplegreedyallocationrulewithsecond
pricepayments
is
not
DSIC
in
this
setting
1
U = 10 + 4 5 2 = U = 10 2 =
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Toaddressthisusegreedyto`preallocate
butwe
also
`burn
units
either
immediately
oronde arture
PreserveDSIC
without
model
of
future
events
bynotallocatingsomeitems:
Burnwhen
the
marginal
value
of
the
unit
is
Immediateburning
Ondepartureburning
iDEaS :IntelligentDecentralisedEnergyAwareSystems 28
W i hi l
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Wegeneraterepresentativevehicleuse
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W t t ti hi l
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Wegeneraterepresentativevehicleuse
iDEaS :IntelligentDecentralisedEnergyAwareSystems 30
W t t ti hi l
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Wegeneraterepresentativevehicleuse
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OnlineMechanismDesignforDynamic
ElectricVehicle
Charging
Varia eratec arging
Pricefast
chargers
appropriately
maintainingincentives
Dynamicdistributedmodel
Vehiclesre ort
location,
destinationavailablecharge&
re uirements
iDEaS :IntelligentDecentralisedEnergyAwareSystems
For more details see the publications
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Formoredetails,seethepublications
Rose,H.,Gerding,E.,andRogers,A. Mechanism
Design
for
Aggregated
Demand
Prediction
in
the
SmartGrid. AAAI2011(toappear).
Gerding,E.,
Robu,
V.,
Stein,
S.,
Rogers,
A.
and
Jennin s N.R. OnlineMechanismDesi nforElectric
VehicleCharging.AAMAS2011(toappear)
iDEaS :IntelligentDecentralisedEnergyAwareSystems 33
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Conclusions
Thesmartgridisessentialforasustainable
energyfuture
tothisvisiongiventheincreaseddemand
anyoppor un es ormec an sm es gn oinfluence
the
design
of
this
new
grid
Seeprojectwebsiteformoredetailsand
publications:www.ideasproject.info
iDEaS :IntelligentDecentralisedEnergyAwareSystems 34