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Chair of Energy Economics, Prof. Dr. Möst
www.ee2.biz
The role of grids and storage
for renewable integration
Dual Plenary II: New designs in electricity markets
IAEE Wien - „HEADING TOWARDS SUSTAINABLE ENERGY SYSTEMS:
EVOLUTION OR REVOLUTION?”
04.09.2017
Prof. Dr. Dominik Möst, TU Dresden
TU Dresden, Chair of Energy Economics, Prof. Dr. Möst 2
Increasing amount of intermittent renewables
Storage
Grid
DemandSupply
• Installed capacity of renewable energy
sources (RES) will increase in Europe
(and worldwide)
• Flexibility need will grow
• Several options can provide flexibility:
Electricity production in Europe
Source: Eurostat
TU Dresden, Chair of Energy Economics, Prof. Dr. Möst 4
Some final thoughts4
Market zones, grid extension and the impact on congestion management3
Model based analysis: trade-off between grid and storage capacities2
Graphical analysis: optimal capacity and long-term merit order effect1
Agenda
TU Dresden, Chair of Energy Economics, Prof. Dr. Möst 5
The integration of renewable energy sources (RES) significantly influences the residual load:
Number of hours with negative residual load rises
Surplus of RES feed-in increase
Level of maximal negative residual load grows
What to do with the surplus?
Store, export or curtail?
Hours with surplus renewable feed-in will increase
-60.000
-40.000
-20.000
0
20.000
40.000
60.000
80.000
0487
974
1461
1948
2435
2922
3409
3896
4383
4870
5357
5844
6331
6818
7305
7792
8279
MW
2010 2030 2050
Exemplary residual load duration curve
for Germany
(20%)* (60%)* (75%)*
* RES share
TU Dresden, Chair of Energy Economics, Prof. Dr. Möst 6
Simple (graphical) capacity model
Technology 1
(Peaker) Technology 2Technology 3
(Base-load)
Time [h]
Costs
[€/MW]
P inst, 3
P inst 2
Load duration curve
[MW]
Time [h]
P inst, 1
t1 t2 t3
Cvar1*t1
Cvar2*t2
Cvar3*t3
Cfix1
Cfix2
Cfix3
Illustrative model
• Simplified visualisation of
necessary capacities in steady-
state
Optimal capacity in long-term
equilibrium
• Assumption:
Immediate adaption to optimal
power capacities
No congestions in the
considered system
….
8760 h
Storage plant ?
CST
TU Dresden, Chair of Energy Economics, Prof. Dr. Möst 7
System perspective
Adaptation of „optimal“ capacity?
Technology 1
Technology 2Technology 3
Time [h]
Costs
[€/MW]
P inst, 3
P inst 2
Load duration curve
[MW]
Time [h]
P inst, 1
t1 t2 t3
Cvar1*t1
Cvar2*t2
Cvar3*t3
Cfix1
Cfix2
Cfix3
Necessary generation portfolio – what will change?
• Reduction of base-load and mid-load
• Increase of peak-load
• Increase of storage power plants
What to do with the surplus?
• Store
Decreases variable production costs (as surplus will probably be „cheap“)
• Export
• Demand Side Management (Smart Market)
• Curtail surplus
8760 h
Storage plant ?
CST
TU Dresden, Chair of Energy Economics, Prof. Dr. Möst 8
Load
Marginal costs
Renewable feed-in
Schematic merit-order effect and impact on price
distribution
Min. Demand
Max. Demand
Price
dis
trib
utio
n
with
an
d w
ith
ou
t R
ES
Load distribution
Merit-order curve with and without renewablefeed-in
Distribution RES feed-in
• Self-marginalisation with high shares of renewables (e.g. 100 GW PV)
• Speed of change/RES extension and expectations for subsidies
prevent a market equilibrium!
=> Further incentive schemes for renewables are necessary!
TU Dresden, Chair of Energy Economics, Prof. Dr. Möst 9
General (policy) decision:
Correct scarcity pricing signals
versus
a regulated capacity “market” (resulting in a cut-off of extreme price peaks)?
Base load units (lignite, coal)
Impact on the price duration curve
The merit-order effect of renewables (long-term effect)
Euro
/MW
h
h
Peak load units (gas, oil)
Peak price will increase
Base load under pressure(up to you have to pay for
“withdrawing”)
Current prices (under pressure)• RES-E extension underestimated
• Demand overestimated
Past (2006 – 2010)
Today (2011-2020)
Future (2025+)
TU Dresden, Chair of Energy Economics, Prof. Dr. Möst 10
Some final thoughts4
Market zones, grid extension and the impact on congestion management3
Model based analysis: trade-off between grid and storage capacities2
Graphical analysis: optimal capacity and long-term merit order effect1
Agenda
TU Dresden, Chair of Energy Economics, Prof. Dr. Möst 11
The integration of renewable energy sources (RES) significantly influences the residual load:
Number of hours with negative residual load rises
Surplus of RES feed-in increase
Level of maximal negative residual load grows
What to do with the surplus?
Store, export or curtail?
Hours with surplus renewable feed-in will increase
-60.000
-40.000
-20.000
0
20.000
40.000
60.000
80.000
0487
974
1461
1948
2435
2922
3409
3896
4383
4870
5357
5844
6331
6818
7305
7792
8279
MW
2010 2030 2050
Exemplary residual load duration curve
for Germany
(20%)* (60%)* (75%)*
* RES share
TU Dresden, Chair of Energy Economics, Prof. Dr. Möst 12
Electricity system model ELTRAMOD to analyse the interdependence
between storage need, grid extension and renewable curtailment
Model purpose
• Fundamental system model / bottom-up model
• Integration of renewable energy sources (RES)
in the European energy system
• Flow calculation based on Net Transfer Capacity (NTC)
• Trade-off between grid and storage extensions
• Combined investment and production planning
Main characteristics
• Temporal resolution of 8760 hours
• Calculation of the cost-minimal generation
dispatch and investments in additional
transmission lines and storage facilities
• Country specific times series of wind and PV feed- in
TU Dresden, Chair of Energy Economics, Prof. Dr. Möst 13
Grid and Storage Extensions in Europe till 2050An application of ELTRAMOD for the
Energy System Analysis Agency (www.esa2.eu)
RES feed-in obligation: every available unit of RES has to be integrated
RES Curtailment: the surplus of RES supply can be curtailed
=> RES priority feed-in significantly influence the need of further storages and transmission capacities.
116810976
2520
1020
1020
4640
11536
MWStorage extensions
No storage extensions
Grid extensions (NTC)
≤ 500 MW
≤ 1000 MW
≤ 3000 MW
≤ 5000 MW
≤ 10000 MW
≤ 15000 MW
> 15000 MW
6711
1168
RES feed-in obligation RES curtailment
TU Dresden, Chair of Energy Economics, Prof. Dr. Möst 14
Removing the feed-in obligation and its impact on grid and storage
extension
Mandatory feed-in versus curtailment has a low impact on integrated RES generation
=> However: significant difference for grid and storage extensions settings
Central statement:
From the economic point of view it is not optimal to integrate all available RES generation
RES should be demanded for system stability and further market integration.
=> Mid term perspective: grid extension and stronger market integration, then storage…
feed-in obligation curtailment
Non integrated RES surplus supply withoutgrid and storage extensions
10.2% 11.9%
Non integrated RES surplus supply with grid and storage extensions
0.9% 3.7%
Additional transmission capacities up to 2050 (NTC)
252.2 GW 143 GW
Additional storage capacities up to 2050 35.7 GW 7.9 GW
TU Dresden, Chair of Energy Economics, Prof. Dr. Möst 15
Impact of RES-E share and CO2-prices on the need of storage capacities in the system
Share of RES-E generation
• Mid-term (< 40%): Nearly no change in storage demand
• Long-term (>60%):
Increase of storage demand, but still moderate
• Long-long-term (>85-90%)
Significant increase of storage demand!
Cost of CO2
• Low CO2-price (<15 €/t): Good for storage power plant (cheap base-load)
• High CO2-prices (>40 €/t): Amount of storage at 50% RES-E at about
todays storage level
=> Storage need is quite sensitive to RES-E share and CO2 costs, but
unfortunately in a contradicting way!
TU Dresden, Chair of Energy Economics, Prof. Dr. Möst 16
Economic value of storage(simplified illustration)
• With higher shares of intermittent renewable
resources, the value of storage increases
• Grid extension as well as demand side
management are in competition with storage
• Portfolio of RES-E has an impact on storage
needs
E.g. more Offshore => less storage need but
larger grid extension need (due to larger transport
distances)
versus more PV => more storage favourable but
less grid extension
Valu
e o
f sto
rage c
apacity [
€/k
W ]
(fro
m s
yste
m p
ers
pe
ctive
)
Inst. Storage capacity [GW]
Today 2030 2050
Share of RES-E increasing
Grid extension
TU Dresden, Chair of Energy Economics, Prof. Dr. Möst 17
Large differences in profitability of large- and small-scale storage due to regulation
Large-scale storage Decentralized PV storage
Large-scale storage investment hardly profitable due to small spreads
Domestic PV storage profitable dependent on the regulatory environment
0
20
40
60
80
100
120
2010 20142012 20162002 2004 2006 2008
Ave
rage
sp
ot
pri
ce [
EUR
\MW
h]
Avg. 1000h high price
Avg. 1000h low price
Diminishing spreads compromise profitability of storage and do not justify new investment
Other levies
300 EUR/MWh
6.7Grid charge
8.1
6.4
Taxes
EEG levy
2.6
6.9
Generation& selling
Large-scale storage has to earn money on market spreads
Self-consumption from decentralized PV allows to save on grid charge, levies and taxes
>40% of new PV installations <10 kW contained battery storage in 2015(only 14% in 2014)
Source: EPEX Spot, BNetzA: Monitoring Report 2016, RWTH Aachen: Wissenschaftliches Mess- und Evaluierungsprogramm Solarstromspeicher 2016
=> Decentral storage options have about 5 times higher incentives in GE
but strongly dependent on regulation (grid fees, feed-in tariff, market rules, …)
decentral option: + higher willingness to pay will lead to market uptake …
TU Dresden, Chair of Energy Economics, Prof. Dr. Möst 18
Maximise „self-consumption“ and
autarky from April to October…
Cycle stability is (still)
of crucial importance!
Assumption:
• 1000 - 2500 cycles
=> e.g. 10 a * 250
• 150 €/kWh
(before 2020)
=> 6 - 15 Ct/kWh
(+ battery management
and installation)
+ approx. 8 Ct/kW PV
generation
<< 30 Ct/kWh el. supplySource: B. Nykvist, M. Nilsson: Rapidly Falling costs of battery packs for electric vehicles,
Nature Climate Change
=> Mid-term perspective: decentralised storage systems will beeconomically very attractive under current tariff structure
Learning curve Lithium-ion batteries
TU Dresden, Chair of Energy Economics, Prof. Dr. Möst 19
Some final thoughts4
Market zones, grid extension and the impact on congestion management3
Model based analysis: trade-off between grid and storage capacities2
Graphical analysis: optimal capacity and long-term merit order effect1
Agenda
TU Dresden, Chair of Energy Economics, Prof. Dr. Möst 20
Trade-off between grid extension, congestion management and market splitting
Own calculations show that NEP2025 seems to be a reasonable degree of grid
extension
• interested in details? => see presentation of Hinz, Wednesday in session 7B!
Tota
l cost
Degree of grid extension
Common market zone
Market zone split
NEP2025
TU Dresden, Chair of Energy Economics, Prof. Dr. Möst 21
Additional transport requirement necessitates grid extensions and leads to cost increase
2014 2024TransnetBW Amprion
Tennet 50Hertz
3.2
6.4
Source: NEP2030
bn
. EU
R
Ø 7.3%
+4.8%
+8.2%
+7.9%
+8.1%
Transport requirement Grid extensions Cost increase
Source: Own calculations based on NEP2024Source: Consentec (2016), Netzstresstest
Distribution of RES causes add. transport require-ment from North to South
Grid extension requirement quantified and concretized by TSOs
100% increase in transmission grid cost within ten years
TU Dresden, Chair of Energy Economics, Prof. Dr. Möst 22
Omission of necessary investments causes high congestion management cost
600
5 years delay
2,400
NEP
GermanyInternational
Strong increase in redispatch and curtailment cost due to Horizontal congestions in the transmission grid (North South) Vertical congestions in the distribution grid
Historic congestion management cost Projection 2025
Co
neg
stio
nm
anag
emen
t co
st[m
io. E
UR
]
5 years delay in grid extension cau-ses additional cost of 1.8 bn. EUR
Respective invest delta: 10 bn. EUR(700 mio. EUR annual cost)
Source: BNetzA Monitoringreports, own calculations based on ELMOD grid model
5 year delay in grid
extension, only 1 HVDC link
Grid extensions
according to NEP
~700 mioExten-
sion costdelta
198159
2013 2015
269
750
20142012
45
20112008
164
3230
20092007
58
2010
Redispatch & Countertrading
Curtailment
TU Dresden, Chair of Energy Economics, Prof. Dr. Möst 23
2 GW--------
7 TWh/a
4 GW--------
14 TWh/a
2 GW--------
7 TWh/a
2 GW--------
7 TWh/a
12 GW--------
45 TWh/a
18 GW--------
64 TWh/a
13 GW--------
47 TWh/a
Assumption: medium utilisation of 40% of each line
Necessary grid extension based on NEP For the year 2025
Estimated grid extension for the year 2050
Long-term: NEP 2025 is not the end, but the beginning of further infrastructure investments
Source: IEEH, TU Dresden
=> But grid extension strongly dependent on assumptions concerning renewable extension
TU Dresden, Chair of Energy Economics, Prof. Dr. Möst 25
Two price zones in Germany?
Model-based analysis of long-term impact
Analysis with a fundamental model within Avers-project
-10
-5
0
5
10
15
20
25
2015 2020 2025 2030 2035
Pre
isd
iffe
ren
z in
EU
R/M
Wh
SPLIT-DEN SPLIT-DES REF-DEN/DES
Development of price difference
=> Prices converge due
to optimal planning
Explanation
DEN … Germany North, DES … Germany South SPLIT-DEN/DES … two market zones DEN/DES
0.6
0.8
1.0
1.2
1.4
2015 2020 2025 2030 2035V
erso
rgu
ngs
sich
erh
eits
niv
eau
REF-DEN REF-DES
SPLIT-DEN SPLIT-DES
Price
diffe
ren
ce
in €
/MW
H
Le
ve
l o
f a
de
qu
acy
Development of level of adequacy
=> Optimal capacity installations
increase regional level of adequacy
Source: Avers-project:
Hladik, D., Fraunholz, C., Kunze, R.: Zwei Preiszonen für Deutschland, Optimierung in der Energiewirtschaft
TU Dresden, Chair of Energy Economics, Prof. Dr. Möst 26
Some final thoughts4
Market zones, grid extension and the impact on congestion management3
Model based analysis: trade-off between grid and storage capacities2
Graphical analysis: optimal capacity and long-term merit order effect1
Agenda
TU Dresden, Chair of Energy Economics, Prof. Dr. Möst 27
Some final thoughts and conclusions
Are there any principles that exist for a long time and do we ignore them because
we are used to them?
• Electricity prices
Markets: Supply and demand are well functioning („technically“)
But: speed of change and expectations for subsidies prevent a market equilibrium
• Complexity of political measures
One policy mechanism (market engagement) pulls next to itself
Objectives are often conflicting (fragmentary, incomprehensible) and system perspective is
missing
• Market created with liberalization and systematically hollowed out ...
When do grid operators build power plants?
Tendency that state defines „right“ technologies
Renewable integration necessitates broad portfolio of technologies and
correct price signals!
Power grids play an important role for renewable integration!
Interdependencies in the system have to be considered!
=> How can Europe benefit (more) from the „Energiewende“?
Fakultät für Wirtschaftswissenschaften, Lehrstuhl für Energiewirtschaft, Prof. Dr. Möst
TU Dresden, Chair of Energy Economics, Prof. Dr. Möst 29
Grid extension is necessary …
• „Early“ Coal-phase-outuntil 2030 is possible, but: not with the expected
grid extensions of NEP!
=> New/additional power linesare necessary!
Additional: back-up capacitiesat some locations necessary!
=> Current electricity prices:Who are the investors(without subsidies)?
Necessary investments in new lines (in km) for different lignite-phase-out scenarios
REF … no lignite-phase-out LPO-DE … lign.-phase-out GE
LPO-East … lign.-phase out in East-GE LPO-West … in West-GE
LPO-Gas … substitution of lignite by gas power plants
TU Dresden, Chair of Energy Economics, Prof. Dr. Möst 30