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Pricing the value of flexibility – findings from the “The Power of Transformation”
Simon Müller
Analyst – System Integration of Renewables
Electricity Security Advisory Panel Workshop on
SCARCITY AND FLEXIBILITY PRICING, 2 July 2014, Paris
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The Grid Integration of Variable Renewables Project - GIVAR
Third project phase at a glance 7 case studies covering 15
countries, >50 in-depth interviews
Technical flexibility assessment with revised IEA FAST tool
Detailed economic modelling at hourly resolution
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What shapes the integration challenge?
Properties of variable renewable energy (VRE)
Flexibility of other power system components
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Variable
Uncertain
Non-synchronous
Location constrained
Modularity
Low short-run cost
sec
yrs
1 km
100s km
Grids Generation
Storage Demand Side
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2. Make better use of
what you have
Operations
1. Let wind and solar play their
part
3. Take a system wide-strategic
approach to investments!
System friendly
VRE
Technology spread
Geographic spread
Design of power
plants
Three pillars of system transformation
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Investments
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* Compound annual average growth rate 2012-20 , slow <2%, dynamic ≥2%; region average used where country data unavailable This map is without prejudice to the status of or sovereignty over any territory, to the delimitation of international frontiers and boundaries and to the name of any territory, city or area.
Transformation depends on context
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Stable Power Systems
• Little general investment need short term
Dynamic Power Systems
• Large general investment need short term
Slow demand growth*
Dynamic demand growth*
Maximise the contribution from existing flexible assets
Decommission or mothball inflexible polluting surplus capacity to foster system transformation
Implement holistic, long-term transformation from onset
Use proper long-term planning instruments to capture VRE’s contribution at system level
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Variability high temporal resolution of price signals,
i.e. prices are valid only for short time periods
allowing large differences in prices, i.e. negative and very high prices
Uncertainty short-term price signals,
i.e. prices formed close to real-time and based on current system status
operating reserves and balancing, i.e. how to deal with forecast errors
Location constraints and modularity high spatial resolution of price signals, i.e. prices differ from place to
place
Non-synchronous technology (additional) system service markets, i.e. substitutes for classical inertial
response in certain systems
Efficient prices at high shares of VRE
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Large room for improvement in design of system services markets
How do today’s markets fare?
Example: DEU + FRA Example: ERCOT
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Short scheduling intervals (5min best practice)
Adjust schedules up to real time (5min best practice)
Generation and transmission schedules
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6 7 8 9
Capa
city
(MW
)
Time (hours)
Actual load curve
Load schedule -15 minutes
Load schedule -60 minutes
Balancing need 15 min schedule
Balancing need60 min schedule
Impact of scheduling interval on reserve requirements, illustration
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Germany has four balancing areas (historic reasons)
Reserve sharing mechanism across four areas
Reduced requirements despite rapid increase of VRE
Co-operation with neighbours
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0
10
20
30
40
50
60
0
1
2
3
4
5
6
7
8
2008 2009 2010 2011 2012
Inst
alle
d VR
E ca
paci
ty (G
W)
Rese
rve
requ
irem
ent
(GW
) VRE capacity
Upward reserves
Downward reserves
+100%
+0%
-40%
Required frequency restoration reserves in Germany
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Do we price flexibility at its value?
We already have markets for flexibility: In particular: balancing markets
Three main problems: Product definition often not robust at high shares of VRE
Services sometimes not remunerated or markets under-developed
Trading ill-aligned with trading on wholesale market
Value of flexibility is not appropriately priced
Wholesale market prices do not reflect value during scarcity (including flexibility)
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Are your operating reserve and system service definitions VRE ready? Example Ireland DS3 programme
System service definitions Prepared for a variable future?
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• Synchronous Inertial Response• Fast Frequency Response• Fast Post-Fault Active Power
Recovery
• Ramping Margin
0 – 5s 5 – 90s 90s – 20min 20min – 12hr
Inertial Response
Reserve
Ramping
POR
SOR
TOR1
TOR2
RR
Ramping
SIR
FFR
time
Source: EirGrid • Dynamic Reactive Power
ms – s
Transient Voltage Response
Voltage Regulation
Network
Dynamic Reactive
Power
NetworkAdequacy
Grid 25
s – min min – hr
Steady-state Reactive
Power
• Steady-state Reactive Power
Frequency Services
Voltage Services
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0.010.020.030.040.050.060.070.080.0
1 3 5 7 9 11 13 15 17 19 21 23
GW
Total generation
0.010.020.030.040.050.060.070.080.0
0 2 4 6 8 10 12 14 16 18 20 22
GW
Conventional Wind PV
0.010.020.030.040.050.060.070.080.0
0 2 4 6 8 10 12 14 16 18 20 22
GW
Conventional Wind PV
But does flexibility have a value today?
Medium-term: PV reduces value of pumped storage
Long-term: Mutual increase of market value
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[email protected]
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