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Practical Coordination of DERs at Scale using
Packetized Energy Management
Paul Hines, University of Vermont, Packetized Energy
Collaborators: Jeff Frolik, Mads AlmassalkhiSumit Paudyal (MI.Tech), Adil Khurram, Mahraz Amini, et al.
2
©BP, 2018
Non-Hydro (wind/solar) energy consumption
Million tonnesoil eq
uiv.
And probably a lot more to come
3
0
10
20
30
40
50
60
2010 2020 2030 2040 2050
Actual GtCO2e VRE Other
Without mitigation
With mitigation from renewables
With mitigation from efficiency, reforestation,
etc.
After mitigation
~10 TW of renewables + ~8-10 TW of flexibility. Mean load today ~ 3 TW
Perhaps2 TW of flexible supply5 TW of storage + 2 TW of flexible demand.
2 TW of flexible demand
4
1 TW of flexible large C&I load 1 TW of flexible
small c&R load ~2 billion devices
So:
How do we coordinate billions of connected devices to solve grid
problems?
5
Let’s borrow ideas from something that already connects billions of devices
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Packetization
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Randomization
Simple state machines for EV charging
8Rezaei, Frolik, Hines, “Packetized Plug-in Electric Vehicle Charge Management”, IEEE TSG, 2014
EV requests charge based on the state of the vehicle.
Urgent/non-urgent, response to prior charges
How much does it cost to avoid fancy optimization?
9Rezaei, Frolik, Hines, “Packetized Plug-in Electric Vehicle Charge Management”, IEEE TSG, 2014
What about a water heater?
10
TOO HOT
TOO COLD
Turn off
Turn on
Stochastically request packets of energy at a rate proportional to the need for energy
Tem
per
atur
e
Virtual Battery server replies to requests based on grid conditions
Virtual Battery solves grid problems
300 electric hot water heaters
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0 50 100 150 2000
200
400
600
800
1000
Power
(kW
)
0 50 100 150 200−5
0
5
T−
Tset(
◦C)
Time (min)
wind productiondemand
Start choreography
Demand
Pow
er (k
W)
RenewableSupply
Time (minutes)
Almassalkhi, Frolik, Hines, “Packetized energy management...,” ACC, 2017
12
Conventional thermostat (long on/off times)
Time (minutes)
Black = Device is OFF
Packetized! (multiple short on/off times)
De
vic
e ID
De
vic
e ID
Conventional vs. Packetized
Diversity makes stuff work better
13Almassalkhi, Duffaut-Espinosa, Hines, JFrolik, Paudyal, Amini, “Asynchronous coordination of DERs...,” in Energy Markets and Responsive Grids, Springer, 2018
VPP
Pow
er (M
W)
Time (minutes)
Balancing signalEVs + Batteries + WHsWater heaters only
At scale?
5000 water heaters
14
15
How do we make it work in the real world?
16
Step 1: Start a company
Step q: Partner with utilities
Step n: Build a device and a lot of software
Step π: build a business case
17
Wholesale energy arbitrage~$30/device/year Time
Pric
e Buy Sell
Avoided generation capacity (ICAP)~$100/device/year
Avoided T&D CapEx~$20/device/year
Frequency regulation~$30/device/year
Supply Demand
Total = $200/device/year
18
In part because of renewables,electricity is usually super cheap
83% of hours <4c/kWh
Which means that utilities should do this
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LoadShaper: Automated Energy Arbitrage
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PeakCrusher: Automated Peak Management
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0
20
40
60
80
Pow
er (k
W)
Set pointActual
14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00Time Aug 06, 2018
0
100
200
LMP
($/M
Wh)
Pre-positioning 6-hour peak eventPost-eventrecovery
Return to LoadShaper
0
20
40
60
80
Powe
r (kW
)Set pointActual
14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00Time Aug 06, 2018
0
100
200
LMP
($/M
Wh)
22
The most important step: build a great team
• Advisors
BOB ZULKOSKIVermont WorksCo-founder Greenlots
LAURY SALIGMANVernal VenturesEnvironmental leader
MICHAEL BEERMarketing expert
HEMAL SHAHFacebook/InstagramFocus: UI/UX
BJOERN SIMONAltair EngineeringFocus: Back-end/ Architecure
SCOTT JOHNSTONECEOEnergy leaderFormer CEO of $100M Vermont Energy Investment Corp. (VEIC)
MADS ALMASSALKHICO-FOUNDERSerial entrepreneurSaaS, real-time controls Michigan PhD
JEFF FROLIKCO-FOUNDERCommunication systems, patentsMichigan PhD
PAUL HINESCO-FOUNDERElectricity systems/software, electricity policy/marketsCarnegie Mellon PhD
ANDREW GIROUXIoT/HardwareFormerly: UTC, GMBuilds Evs for fun
KATE DESROCHERSInitiative Lead, MBAFormerly: energy consultant
JOHN SLINKMANSaaS/AWSFormerly: Director at POLCO
FORREST WALLACEEmbedded SystemsFormerly: DEKA
But then again, if we can do this, it’s worth it.
23
0
10
20
30
40
50
60
2010 2020 2030 2040 2050
Actual GtCO2e VRE Other
Without mitigation
With mitigation from renewables
With mitigation from efficiency, reforestation,
etc.
After mitigation
~10 TW of renewables + ~8-10 TW of flexibility. Mean load today ~ 3 TW
Perhaps2 TW of flexible supply5 TW of storage + 2 TW of flexible demand.