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Paul Denholm
National Renewable Energy Laboratory
Presentation to EUCI
January 25, 2011
Storage and Flexibility Options for
Renewables-Driven Grid Applications
2
Outline
• Impacts of Renewables on the Grid – Is Storage
“Needed”?
• Additional Value Created by Deployment of
Renewables
• Flexibility Options – Don’t forget the competition!
• Conclusions
National Renewable Energy Laboratory Innovation for Our Energy Future2
33
Impacts of Renewables on the Grid
• Storage is often perceived as “necessary” for
renewables to achieve a large (>10%? >20%?)
penetration.
• Renewables are seen as a source of value for
storage
• Can renewables be used without storage?
• How do renewables impact the grid?
National Renewable Energy Laboratory Innovation for Our Energy Future3
44
Impacts of Renewables on the Grid
National Renewable Energy Laboratory Innovation for Our Energy Future4
0
5000
10000
15000
20000
25000
30000
35000
40000
45000
50000
1-Apr 8-Apr 15-Apr
MW
Load Wind Net Load
Variation in wind output increases net load
ramp ate (Increases in this period from
4,052 MW/hour to 4,560 MW/hour)
Uncertainty in wind output
increases uncertainty in net
load to be met with
conventional generators
Ramp Range (Increases in
this two-week period from
19.3 GW/day to 26.2
GW/day)
Four major impacts of variable generation (VG) on the grid:
1) Increased need for frequency regulation
2) Increase in hourly ramp rate
3) Increase in uncertainty of net load
4) Increase in ramp range
5
Is Storage Needed - Costs of Wind Integration
• Simulate system with and without solar and wind
– Use unit commitment software includes existing generation mix, transmission system
– Use lots of wind and solar simulations to consider spatial diversity
– May involve substantial costs
• Evaluate costs of:
– Additional regulation reserves
– Additional load following
– Wind uncertainty
Ponnequin PeetzPonnequin Peetz
5National Renewable Energy Laboratory Innovation for Our Energy Future
66
Costs of Wind Integration
Date Study
Wind Capacity
Penetration
(%)
Regulation
Cost
($/MWh)
Load-
Following Cost
($/MWh)
Unit
Commitment
Cost ($/MWh)
Other
($/MWh)
Total Oper.
Cost Impact
($/MWh)
2003 Xcel-UWIG 3.5 0 0.41 1.44 Na 1.85
2003 WE Energies 29 1.02 0.15 1.75 Na 2.92
2004 Xcel-MNDOC 15 0.23 na 4.37 Na 4.6
2005 PacifiCorp-2004 11 0 1.48 3.16 Na 4.64
2006 Calif. (multi-year)a 4 0.45 trace trace Na 0.45
2006 Xcel-PSCob 15 0.2 na 3.32 1.45 4.97
2006 MN-MISOc 36 na na na na 4.41
2007 Puget Sound Energy 12 na na na na 6.94
2007 Arizona Pub. Service 15 0.37 2.65 1.06 na 4.08
2007 Avista Utilitiesd 30 1.43 4.4 3 na 8.84
2007 Idaho Power 20 na na na na 7.92
2007 PacifiCorp-2007 18 na 1.1 4 na 5.1
2008 Xcel-PSCoe 20 na na na na 8.56
a Regulation costs represent 3-year average.
b The Xcel/PSCO study also examine the cost of gas supply scheduling. Wind increases the uncertainty of gas requirements and may increase
costs of gas supply contracts.
c Highest over 3-year evaluation period. 30.7% capacity penetration corresponding to 25% energy penetration
d Unit commitment includes cost of wind forecast error.
e This integration cost reflects a $10/MMBtu natural gas scenario. This cost is much higher than the integration cost calculated for Xcel-PSCo in
2006, in large measure due to the higher natural gas price: had the gas price from the 2006 study been used in the 2008 study, the integration
cost would drop from $8.56/MWh to $5.13/MWh.
6National Renewable Energy Laboratory Innovation for Our Energy Future
77
Conclusions of Wind Integration Studies
(<30% Penetration)
• Storage is not “needed” to successfully integrate VG at studied penetration levels
• Increased variability can be accommodates by existing grid flexibility
– Flexibility of existing generator mix
– Existing storage
– Increased balancing area cooperation (balancing wind generation and load over larger areas to “share” the increased variability.
– Spatial diversity smooth's aggregated wind output reducing short-term fluctuations to hour time scale
7National Renewable Energy Laboratory Innovation for Our Energy Future
88
So What are the Opportunities?
• Renewables increase the already existing value (and
size) of markets for storage
• Arbitrage/load leveling/unit cycling
• Operating Reserves
• Transmission Alternatives
• How do storage economics compete with the
alternatives?
8National Renewable Energy Laboratory Innovation for Our Energy Future
9
Load Leveling & Arbitrage
0
20
40
60
80
100
120
140
160
180
200
0 6 12 18 24
Hour
Wh
ole
sale
En
erg
y P
rice (
$/M
Wh
)
Summer
Winter
Spring
1010
Increased Opportunities from VG?
• Increased VG increases on-peak/off-peak spread and
may increase opportunities for arbitrage
– Limited coincidence of VG supply and normal demand
– Minimum load constraints on thermal generators
– Thermal generators kept online for operating reserves
– Depends on many factors including transmission availability
National Renewable Energy Laboratory Innovation for Our Energy Future
Minimal On/Off-Peak Spreads in Spring
• Displaces the marginal unit (typically gas)
• Requires a re-dispatch of the system, sometimes
requiring us
11National Renewable Energy Laboratory Innovation for Our Energy Future
WECC Dispatch – No new renewables
12
Wind Increases On/Off Peak Spreads
12National Renewable Energy Laboratory Innovation for Our Energy Future
WECC Dispatch – 30% Wind
13
0
50
100
150
200
250
0 10000 20000 30000 40000 50000 60000
Load (MW)
Wh
ole
sale
Pri
ce (
$/M
Wh
)
0
5
10
15
20
25
30
35
18000 20000 22000 24000 26000Load (MW)
Wh
ole
sale
Pri
ce (
$/M
Wh
)
13
Current System Flexibility
Limited by Baseload Capacity
Price/Load
Relationship in PJM
Below Cost Bids
Plant operators would rather sell
energy at a loss than incur a
costly shutdown. Wind may be
curtailed under these conditions
13National Renewable Energy Laboratory Innovation for Our Energy Future
1414
VG Curtailment/Zero to Negative LMPS
Fraction of wind generation
occuring at zero LMP – average
(top chart) and marginal (bottom
chart) – as a function of VG
penetration for different system
flexibilities in ERCOT
14National Renewable Energy Laboratory Innovation for Our Energy Future
0%
5%
10%
15%
20%
25%
30%
35%
40%
45%
50%
0% 10% 20% 30% 40% 50% 60% 70% 80%
Fraction of Energy From RE
Avera
ge V
G C
urt
ail
men
t
21 GW Min Load
(65% FF)
12 GW Min Load
(80% FF)
6 GW Min Load
(90% FF)
FF=Flexibility Factor
0%
5%
10%
15%
20%
25%
30%
35%
40%
45%
50%
0% 10% 20% 30% 40% 50% 60% 70% 80%
Fraction of Energy From RE
Marg
inal
VG
Cu
rtail
men
t
21 GW Min Load
(65% FF)
12 GW Min Load
(80% FF)
6 GW Min Load
(90% FF)
FF=Flexibility Factor
Operating Reserve Requirements
• Non-economic dispatch
• Part-load inefficiencies
• Additional units online
National Renewable Energy Laboratory Innovation for Our Energy Future15
0
500
1000
1500
2000
2500
3000
0 4 8 12 16 20 24
Hour
Lo
ad
(M
W)
Peak 2
Peak 1
Int
Base2
Base 1
0
500
1000
1500
2000
2500
3000
0 4 8 12 16 20 24
Hour
Lo
ad
(M
W)
Insufficient Flexibility to
Provide Reserves
Lower Cost Unit Backed
Off To Accommodate
Higher Cost Flexible
Generator
Insufficient
Reserve
Capacity
“Ideal” Dispatch
Higher Cost Unit Started
Early To Provide Reserve
Capacity
Reserve Constrained
Dispatch
1616
Operating Reserves
National Renewable Energy Laboratory Innovation for Our Energy Future16
• Studies have found a modest increase in operating
reserves due to RE deployment
• Western Wind and Solar Integration Study (30% wind)
found contingency reserve shortfalls during 89 hours of
the year
• These impacts add to opportunities for storage to sell
both energy and ancillary services
0
10
20
30
40
50
60
70
80
0 6 12 18 24
Hour
Wh
ole
sale
Pri
ce (
$/M
Wh
)
Hold
Sell
Buy + Double Spin
Spin
Co-Optimization Energy Storage Benefits
8 MWh Purchased
+ 6 Hours of
Double Spin = 53.3
6 MWh Sold
= $251.8
Daily Net Revenue
(no O&M) = $369.2
8 Hours of Spin =
$64
Revenues have increased 76% by
combining services (battery-like device)
1 MW, 6 MWh
Device, 75%
efficiency
Co-Optimization of Energy and Ancillary Services
Discharge
ChargeSpin
Non
Spin
Energy
Purchase
Non
Spin
SpinEnergy
Sales
Energy
Sales
Charge Idle Partial Discharge
FullDischarge
Co-Optimization of Energy and Ancillary Services
0%
20%
40%
60%
80%
100%
idle
part. discharge
full discharge
charge
0%
20%
40%
60%
80%
100%
idle
part. discharge
full discharge
charge
2007 2008 2009 2007 2008 2009
Central NYISO Zone Long Island NYISO Zone
0%
20%
40%
60%
80%
100%
idle
part. discharge
full discharge
charge
Co-Optimization of Energy and Ancillary Services
Operating reserves add ~$25/kw-year for a CAES
device
21 21
Storage as a Transmission Deferral/Alternative
Source: AEP’s Interstate
Transmission Visions for Wind
Integration
Storage As Transmission Alternative
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
0 2000 4000 6000 8000Hour
Win
d G
en
era
tio
n (
% P
eak
Cap
acit
y)
Wind Only
Delivered Wind
Shifted WindTransmission Requirement
(no storage or curtailment)
Downsized
transmission with
storage
Avg. wind output
23
Independent CAES
-200
0
200
400
600
800
1000
0 12 24 36 48 60 72
Hour
CA
ES
Ch
arg
e/D
isc
ha
rge
(M
W)
-25
0
25
50
75
100
125
Ele
ctr
icit
y P
ric
e (
$/M
Wh
)
CAES Discharge
CAES Charge
Electricity Price ($/MWh)
24
Co-Located CAES
-200
0
200
400
600
800
1000
0 12 24 36 48 60 72
Hour
CA
ES
Ch
arg
e/D
isc
ha
rge
an
d W
ind
(M
W)
-25
0
25
50
75
100
125
Ele
ctr
icit
y P
ric
e (
$/M
Wh
)
CAES Discharge
CAES Charge
Wind Output
Electricity Price
Line Rating
Optimum Mix of CAES and Wind
0%
5%
10%
15%
20%
25%
30%
35%
0 200 400 600 800 1000 1200 1400
Transmission Cost ($/MW-km)
Ideal
CA
ES
Siz
e (
% o
f W
ind
Pla
nt
Rati
ng
)
Midwest
Texas
West
Historic
Costs for
Large Lines
CAES can present a cost-effective
alternative to transmission - sometimes
2626
Value of Energy Storage in U.S. Markets
National Renewable Energy Laboratory Innovation for Our Energy Future26
0
500
1000
1500
2000
2500
3000
3500
4000
0 50 100 150 200 250 300 350
Annual Benefit of Storage ($/kW)
Req
uir
ed
Sto
rag
e C
ap
ital
Co
st
($/k
W)
9.8%
12.0%
13.9%
Capital
Charge Rate
Arbitrage Only
Contingency Only
Regulation Only
Renewable deployment will increase opportunities for economic storage
deployment..and also the competition
Arbitrage alone is generally insufficient to support most storage
technologies, which are generally >$1,000/kW
2727
The Competition..
While storage provides an “obvious” answer to the problem of
supply-demand coincidence, there are a number of options
27National Renewable Energy Laboratory Innovation for Our Energy Future
• Demand response is a largely untapped market in most of the
U.S.
• ERCOT already gets 50% of its spinning reserves from its “Load
Acting as a Resource” program
• Lots of people want to get a piece of the high value but relative
small frequency regulation market
2828
The Competition..
28National Renewable Energy Laboratory Innovation for Our Energy Future
2929
Conclusions
• The role of storage is an economic issue – does the capturable
benefits of storage exceed its costs?
• Storage is undervalued in existing markets and it is still difficult
to assess the true value and opportunities for energy storage in
the current and future grid
• Renewables may not “need” storage, but they can increase
opportunities for storage (but also the competition)
• And to emphasize….
National Renewable Energy Laboratory Innovation for Our Energy Future
Proper Valuation of Energy Storage
• Many studies start and stop with a basic arbitrage value using load lambdas or system-wide production cost• This will virtually guarantee that no storage technology in
existence will be cost effective
• Capture multiple value streams• Capacity
• Load leveling/arbitrage
• Reducing cycling
• Ancillary services
• Distribution storage benefits• Avoided infrastructure and losses
• Local congestion
3131
Dedicated Renewable Storage?
• Dedicated renewable storage is generally a non-
optimal use
• Could have scenarios where one storage device is
charging while another is discharging simultaneously
in the same system
• “Renewable specific” applications are already
typically captured in grid operations
RE Specific Application “Whole Grid” Application
Transmission Curtailment Transmission Deferral
Time Shifting Load Leveling/Arbitrage
Forecast Hedging Forecast Error
Frequency Support Frequency Regulation
Fluctuation Suppression Transient Stability
31National Renewable Energy Laboratory Innovation for Our Energy Future
Questions?
3333
Storage Caveats
• Efficiency
– Not uniformly defined (should be AC-AC, but sometimes stated in terms of DC-DC, which doesn’t capture conversion)
– May not include parasitics
– CAES (which uses natural gas) and thermal storage cannot be easily compared to pure electricity storage devices such as pumped hydro
• Cost
– Many technologies have not been deployed as large scale, so costs are largely unknown
– Commodity prices affect estimates from different years
– Difficult to compare devices that offer different services (power vs. energy)
33National Renewable Energy Laboratory Innovation for Our Energy Future