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NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, operated by the Alliance for Sustainable Energy, LLC.
Overgeneration from Solar Energy in California – A Field Guide to the Duck Chart
Report Summary
P. Denholm, M. O’Connell, G. Brinkman, J. Jorgenson
November 2015 NREL/PR-6A20-65453
2
Sponsors
This work was funded by the Solar Energy Technologies Office and the Office of Strategic Programs of the U.S. Department of Energy’s (DOE) Office of Energy Efficiency and Renewable Energy (EERE) under Contract No. DE-AC36-08GO28308
3
The Duck Chart
• The challenge: How will this net load shape impact successful integration of renewable (mainly solar) energy?
• A big concern is overgeneration.
Source: CAISO 2013
4
Sources of overgeneration
Too much supply, not enough demand, when considering: • Ramp constraints • Minimum output levels from hydro and
thermal generators o This includes technical, institutional, and
economic constraints o This also includes the need to operate partially
loaded capacity to maintain system reliability
5
Overgeneration results in RE curtailment
• Technically easy to do (at least on utility-scale renewable energy generation)
• But reduces economic benefits and increases the cost of meeting renewable portfolio standards or carbon-reduction goals
6
The duck chart shape has been noted previously
“Proto-duck” chart of California net load with increased penetration of PV (from Denholm et al. 2008)
Example of an analysis of the impact of concentrating
solar power (CSP) on the duck chart shape (from
Jorgenson et al. 2014)
0
10000
20000
30000
40000
50000
60000
Winter SpringMinimum
SummerPeak
Season and Hour
Net
Loa
d (M
W)
Base(no PV)2%
4%
6%
8%
10%
7
And there has been analysis of its impact on curtailment
Example of an analysis of the impact of changing system
flexibility on demand shape and curtailment from an
analysis from Nelson and Wisland (2015)
Example of an analysis of the impact of high variable generation on net load shape and resulting overgeneration from E3 (2014)
8
These previous analyses also suggest mitigation measures
Example of an analysis of how the duck chart shape can be modified to minimize overgeneration (from Lazar 2014)
9
Goals of this work
• Provide a general overview of the duck chart and solar curtailment
• Examine how much curtailment will result as a function of solar penetration
• Examine the impact of mitigation options
10
Analysis framework
• Use an industry-vetted simulation tool (PLEXOS)
• Use data from publically available sources (2024 TEPPC Common Case and 2014 LTPP)
• Modify for increased photovoltaic penetration
11
Scenarios
Start with 11% wind and add increasing amounts of solar PV
Solar Pre-Curtailment
Potential Scenario (%)
Total Solar (PV + CSP) Potential
(GWh)
Total Pre-Curtailment
RPS Potential (%)
Annual Regulation Up Requirement
(GWh)
Annual Flexibility Up Requirement
(GWh)
11 35,331 36.0% 3,499 10,590 15 46,473 39.6% 3,671 11,089 18 56,438 42.7% 3,947 11,651 21 66,155 45.8% 4,282 12,240 24 77,329 49.4% 4,718 12,947 31 98,964 56.3% 5,652 14,361 37 119,682 62.9% 6,607 15,746
12
Initial (most conservative) case
Designed to approximate current grid conditions • Wind and solar cannot provide upward reserves. • No net exports of electricity from California are allowed and at least 70%
of California-owned or contracted generation (including Hoover, Palo Verde, and certain renewable generation) from outside of the state must be imported.
• Up to about 1.3% of peak demand (as much as ~900 MW during periods of peak demand) can be shifted via economic demand response programs.
• No new storage is installed beyond what is in service in 2015. • 25% of all generation within certain zones must be met with local thermal
or hydro generation. • Diablo Canyon remains online as a baseload (non-dispatchable) generator.
The plant does not contribute to the 25% local generation requirement. • Instantaneous penetration of variable generation (including PV, wind, and
CSP without thermal energy storage) is limited to 60% of the normal load.
13
Net load on March 29
The worst day for potential overgeneration
0
5,000
10,000
15,000
20,000
25,000
30,000
35,000
12 AM 3 AM 6 AM 9 AM 12 PM 3 PM 6 PM 9 PM
Meg
awat
ts
Hour
Load without VG Net Load (Unconstrained)Total Solar Wind
Load, solar, and wind profiles for California on March 29 in a scenario with 11% annual wind and 11% annual solar
assuming no curtailment
14
But not all PV can be used
System constraints do not allow reduction in net load beyond a certain point…
Modeled net load in California on March 29 in a scenario with 11% annual wind and 11% annual solar
in a system with a 60% instantaneous penetration constraint
0
5,000
10,000
15,000
20,000
25,000
30,000
35,000
12 AM 3 AM 6 AM 9 AM 12 PM 3 PM 6 PM 9 PM
Meg
awat
ts
Hour
Net Load (With Curtailment)
Net Load (Unconstrained)
Thermal, hydro generators not allowed to reduce output below about 12,600 MW
15
Resulting variable generation curtailment
About 5% of the potential VG is curtailed on this day
Used and curtailed VG in California on March 29 in a scenario with 11% annual wind and 11% annual solar
0
5,000
10,000
15,000
20,000
25,000
30,000
35,000
12 AM 3 AM 6 AM 9 AM 12 PM 3 PM 6 PM 9 PM
Meg
awat
ts
Hour
VG Potential
VG With Curtailment
Curtailment
16
Most curtailment due to 60% limit
PV could potentially provide up to nearly 70% of the total demand in California at noon on this day
Instantaneous penetration of VG on March 29 with and without curtailment
in a scenario with 11% annual wind and 11% annual solar
0%
10%
20%
30%
40%
50%
60%
70%
80%
12 AM 3 AM 6 AM 9 AM 12 PM 3 PM 6 PM 9 PM
% E
nerg
y fr
om V
G
Hour
VG Potential
VG WithCurtailment
17
Existing storage is important
Larger amount of PV would be curtailed without the existing pumped hydro storage in California
Increase in VG use resulting from schedulable pumped storage in a scenario with 11% annual wind and 11% annual solar
0
5,000
10,000
15,000
20,000
25,000
30,000
35,000
12 AM 3 AM 6 AM 9 AM 12 PM 3 PM 6 PM 9 PM
Meg
awat
ts
Hour
VG With Pumping
VG Without Pumping
Pumping Load (Avoided Curtailment)
18
Little curtailment during the summer During peak demand days, there is sufficient demand to absorb all the potential VG
Load, solar, and wind profiles for California on July 27 in a scenario with 11% annual wind and 11% annual solar
0
10,000
20,000
30,000
40,000
50,000
60,000
70,000
12 AM 3 AM 6 AM 9 AM 12 PM 3 PM 6 PM 9 PM
Meg
awat
ts
Hour
Load without VG Net Load Total Solar Wind
19
Lower summer VG penetration
VG contribution is much smaller on the day with the greatest demand
Instantaneous penetration of VG in California on July 27 in a scenario with 11% annual wind and 11% annual solar
0%
5%
10%
15%
20%
25%
30%
12 AM 3 AM 6 AM 9 AM 12 PM 3 PM 6 PM 9 PM
% E
nerg
y fr
om V
G
Hour
20
Adding more PV makes the problem more challenging
Additional PV increases the size of the duck “belly” and requires even greater flexibility
Load in California and VG profiles on March 29 in a scenario with 11% and 15% annual solar
assuming no curtailment
0
5,000
10,000
15,000
20,000
25,000
30,000
35,000
12 AM 3 AM 6 AM 9 AM 12 PM 3 PM 6 PM 9 PM
Meg
awat
ts
Hour
Load without VGSolar Potential 15%Net Load (Unconstrained - 15% Solar)Solar Potential 11%Net Load (Unconstrained - 11% Solar)
21
Without greater flexibility, the net load cannot be reduced
Without reducing the minimum generation level, adding PV does not change the shape of the duck
Net load on March 29 in a scenario with 11% and 15% annual solar
considering operational constraints
0
5,000
10,000
15,000
20,000
25,000
30,000
35,000
12 AM 3 AM 6 AM 9 AM 12 PM 3 PM 6 PM 9 PM
Meg
awat
ts
Hour
Load without VG
Net Load with Curtailment (11% Solar)
Net Load with Curtailment (15% Solar)
22
And PV curtailment increases
Most (65%) of additional PV is curtailed on this day (5% over the entire year)
0
5,000
10,000
15,000
20,000
25,000
30,000
35,000
12 AM 3 AM 6 AM 9 AM 12 PM 3 PM 6 PM 9 PM
Meg
awat
ts
Hour
VG with Curtailment (15% Solar)VG with Curtailment (11% Solar)Curtailment (15% Solar)Curtailment (11% Solar)
Usable and curtailed VG on March 29 in a scenario with 11% and 15% potential annual solar
23
Impact of VG penetration in the base case Marginal curtailment = curtailment of all incremental VG moving from one penetration level to the next Total curtailment = curtailment rate of all PV installed on the system at a certain penetration level
Marginal and average curtailment due to overgeneration under increasing penetration of PV in California
with a 60% instantaneous penetration limit
35% 37% 39% 41% 43% 45% 47%
0%
10%
20%
30%
40%
50%
60%
70%
10% 12% 14% 16% 18% 20% 22% 24%
Annual RPS Penetration
Annu
al V
G C
urta
ilmen
t
Annual Solar Energy Penetration
MarginalCurtailment
Total Curtailment
24
Impact of VG curtailment on LCOE Curtailed energy means less can be sold and incremental costs of additional PV rise dramatically
Marginal and average PV LCOE (based on SunShot goals) due to overgeneration under increasing penetration of PV in California
with a 60% instantaneous penetration limit
6
7
8
9
10
11
12
13
14
15
10% 12% 14% 16% 18% 20% 22% 24%
PV C
ost D
ue to
Cur
tailm
ent
(Cen
ts/k
Wh)
Annual Solar Energy Penetration
Marginal Cost
Average Cost
25
Enabling greater solar penetration How can we accommodate or change the duck chart shape to increase VG penetration and reduce curtailment?
• Fatten the Duck – All approaches that increase the flexibility of the grid and allow greater instantaneous penetration of VG resources—includes changing operational practices to allow more frequent cycling, unit starts and stops, and minimizing the amount of thermal units held at part load.
• Flatten the Duck – Shrink the belly shape by shifting supply/demand patterns to allow solar energy to meet parts of the load that would not normally be provided in the middle of the day. Typically involves demand response or storage.
26
Option 1: Fatten the duck Make a bigger belly
Accommodate increased penetration of PV by reducing system minimum generation requirements
and fattening the duck
0
5,000
10,000
15,000
20,000
25,000
30,000
35,000
12 AM 3 AM 6 AM 9 AM 12 PM 3 PM 6 PM 9 PM
Meg
awat
ts
Hour
Load without VG NetLoad (Actual)Net Load (Unconstrained) Min Generation-Base CaseMin Gen More Flexible
Decrease system minimum generation
27
Option 2: Flatten the duck Or “streamline” the duck…by shifting demand
0
5,000
10,000
15,000
20,000
25,000
30,000
35,000
12 AM 3 AM 6 AM 9 AM 12 PM 3 PM 6 PM 9 PM
Meg
awat
ts
Hour
Ideal Shifted Load Load without VGNet Load (Unconstrained) Net Load (Actual)Min Generation-Base Case
Accommodate increased penetration of PV by flattening the duck
(increasing mid-day demand)
Net shift in load
Added load
Reduced load
28
Example – New storage flattens the duck New storage can provide shift load. Here is the additional load produced by the California storage mandate
Impact of flattening the duck on March 29 with 1,285 MW of added storage
in a scenario with 15% annual solar
0
5,000
10,000
15,000
20,000
25,000
30,000
35,000
12 AM 3 AM 6 AM 9 AM 12 PM 3 PM 6 PM 9 PM
Meg
awat
ts
Hour
Load Before New Storage Curtailment Before New Storage
Load with New Storage Curtailment with New Storage
29
But storage can also help fatten the duck • New storage can provide a highly flexible source of
operating reserves, and allow for greater penetration of VG. Storage can reduce the need to keep partially loaded generators operating.
• We examine this scenario by increasing the maximum VG penetration level to 80% and eliminating the local generation requirement.
• This assumes that distributed storage, including behind-the-meter storage, is controllable and able to respond to grid system requirements – storage acts as part of a “smart grid.”
30
Impact of fattening the duck The minimum generation level has dropped to about 10,000 MW, increasing the amount of load served by PV
Net load on March 29 in a scenario with 15% annual solar increasing the maximum penetration of VG to 60% to 80% and
eliminating the local generation constraint
0
5,000
10,000
15,000
20,000
25,000
30,000
35,000
12 AM 3 AM 6 AM 9 AM 12 PM 3 PM 6 PM 9 PM
Meg
awat
ts
Hour
60% Max. Penetration
80% Max. Penetration
31
This can substantially reduce curtailment By reducing minimum generation constraints, the curtailments on this day have been reduced by about 50%
VG curtailment on March 29 in a scenario with 15% annual solar increasing the maximum penetration of VG to 60% to 80% and
removing the local generation requirement
0
1,000
2,000
3,000
4,000
5,000
6,000
7,000
8,000
12 AM 3 AM 6 AM 9 AM 12 PM 3 PM 6 PM 9 PM
Meg
awat
ts
Hour
60% Max. Penetration
80% Max. Penetration
32
Greater penetration of VG A fatter and flatter duck increases the penetration of VG at the same level of curtailment
Marginal and average annual curtailment due to overgeneration under increasing penetration of PV in California after adding mandated storage, removing local generation constraint, and increasing maximum instantaneous VG penetration to 80%
35% 37% 39% 41% 43% 45% 47% 49% 51% 53% 55%
0%
10%
20%
30%
40%
50%
60%
70%
10% 12% 14% 16% 18% 20% 22% 24% 26% 28% 30% 32%
Annual RPS Penetration
Annu
al V
G C
urta
ilmen
t
Annual Solar Energy Penetration
Base (Marg.)
Base (Avg.)
80% Limit (Marg.)
80% Limit (Avg.)
33
Engaging responsive demand? What if demand response provides BOTH shiftable load and more flexible operation?
Impact of additional demand response and increasing maximum penetration to 90% on system net load on March 29 and July 27
0
5,000
10,000
15,000
20,000
25,000
30,000
35,000
40,000
45,000
50,000
55,000
60,000
12 AM 3 AM 6 AM 9 AM 12 PM 3 PM 6 PM 9 PM
Meg
awat
ts
Hour
Net Load w/o DRNet Load w/DRLoad ReductionAdded Load
0
5,000
10,000
15,000
20,000
25,000
30,000
35,000
40,000
45,000
50,000
55,000
60,000
12 AM 3 AM 6 AM 9 AM 12 PM 3 PM 6 PM 9 PM
Meg
awat
ts
Hour
Net Load w/o DRNet Load w/DRLoad ReductionAdded Load
Limited load shifting on the duck curve day, but flexible operation may allow greater penetration
Benefits on high-demand days include capacity reduction and less use of
peaking generation
34
Even greater penetration of VG PV penetration of 25% with less than 20% marginal and 5% total curtailment
Marginal and average curtailment due to overgeneration under increasing penetration of PV in California
after additional demand response and increasing maximum penetration to 90%
35% 37% 39% 41% 43% 45% 47% 49% 51% 53% 55%
0%
10%
20%
30%
40%
50%
60%
70%
10% 12% 14% 16% 18% 20% 22% 24% 26% 28% 30% 32%
Annual RPS Penetration
Annu
al V
G C
urta
ilmen
t
Annual Solar Energy Penetration
Base (Marg.)
Base (Avg.)
80% Limit (Marg.)
80% Limit (Avg.)
90% Limit (Marg.)
90% Limit (Avg.)
35
Additional opportunities to fatten and flatten the duck
This analysis does not consider many additional options to increase VG penetration • Electricity storage • CSP with thermal storage • Regional interchange • Additional generator flexibility • Alternative renewable sources
36
Conclusions
• This analysis indicates that near-term technology options are capable of helping mitigate challenges demonstrated by the duck chart, and increase PV penetrations exceeding 25% and total renewable penetration exceeding 50% with modest curtailment.
• Changes under way or proposed elsewhere—such as shorter scheduling intervals, increased interaction across regions, and creating new market incentives for generator dispatch—will reduce the minimum generation challenge and enable greater utilization of VG.
• In the longer term, grid operators will need non-traditional resources to supply reserves and grid stability services. In turn, this will require system operators to have visibility and control of distributed PV, storage, and load, and will likely require new market mechanisms to incentivize these resources to participate in providing grid services.
37
References
• Brinkman, G., J. Jorgenson, A. Ehlen, J. Caldwell (2015). “The California 2030 Low Carbon Grid Study,” NREL TP- 6A20-64884
• CASIO (2013). What the Duck Curve Tells us about Managing a Green Grid. https://www.caiso.com/Documents/FlexibleResourcesHelpRenewables_FastFacts.pdf
• Denholm, P., M. O'Connell, G. Brinkman, J. Jorgenson (2015). Overgeneration from Solar Energy in California: A Field Guide to the Duck Chart. NREL/TP-6A20-65023
• Energy and Environmental Economics, Inc. (2014). Investigating a Higher Renewables Portfolio Standard in California. San Francisco, CA: January. Accessed May 2, 2014: https://ethree.com/documents/E3_Final_RPS_Report_2014_01_06_with_appendices.pdf
• Lazar, J. (2014). Teaching the Duck to Fly. Regulatory Assistance Project. • Nelson, J. and L. Wisland (2015). Achieving 50 Percent Renewable Electricity in
California. Union of Concerned Scientists. Online at www.ucsusa.org/California50RPSanalysis.
Contact: Paul Denholm [email protected] Full report at http://www.nrel.gov/docs/fy16osti/65023.pdf