Post on 30-Mar-2015
www.mitportugal.org
Doctoral Program in
Sustainable Energy Systems
2009 NOV 17
Ricardo Bessa (pds09004@fe.up.pt)
Wind Energy, Support Schemes and Deregulated
Electrical Market
Energy Economics
09
European Union Policy Background
2Wind Energy, Support Schemes and Deregulated Electrical Market
1997 White Paper• Community strategy & Action Plan• Community overall RE target of 12% by 2010
• Community RE target of 22.1% by 2010• National indicative RE targets• EC evaluate (in 2005) the application of direct and
indirect support schemes
Directive 2001/77/EC
• Proposal for a new legislative framework for RE• Proposal for mandatory overall RE target of 20% gross
consumption by 2020
2007 Renewable Energy Road Map
• 20% from RES by 2020 and a 10% share of RES in the transport sector
• Mandatory national targets (e.g. 31% Portugal)• National Action Plans before March 2010
Directive 2009/28/EC
09
Support Schemes for RES
• Established to correct market’s failure for account the full cost to society of electricity generation (externalities)
• Two groups: investment support; operating support
3Wind Energy, Support Schemes and Deregulated Electrical Market
Fixed Feed-in Tariff
Market Price + FI premium
Market Price + bounded FI premium
Market Price + TGC revenues
Price based Quantity basedTendering
09
Support Schemes Comparison (1/2)
4Wind Energy, Support Schemes and Deregulated Electrical Market
Viewpoint
A) Fixed Feed-in Tariff
B) Market Price + Premiums
C) Market Price + TGC
D) Tendering
Government
Consumers
(+) technology-specific(+) attractive to investors(-) no contribution to decrease market prices(-) not certain how much RE is promoted (-) no encouragement of RE consumption(-) difficult operation of the power system (-) no incentive to cost reductions(-) windfall profits with decrease of operational costs
(+) technology-specific (+) forecasting tools (+) incentive to efficient operation and cost reduction (+) contribution to decrease market price(-) premium is paid by consumers (-) no encouragement of RES consumption
Like B)(+) stimulate RES consumption (+) reduce the costs of expanding RES capacity(+) possible extension to other countries (-) windfall profits
(+) competition between investors(+) no need to guess the tariff(+) optimal location of RES(-) high administrative costs and a complex procedure(-) intentional delays in the project
09
Support Schemes Comparison (2/2)
5Wind Energy, Support Schemes and Deregulated Electrical Market
Viewpoint
A) Fixed Feed-in Tariff
B) Market Price +
Premiums
C) Market Price + TGC
D) Tenderin
g
Investors
(+) long-term stability and low risk(--/+) only windfall profits for low-cost technologies(+) no planned maintenance with market prices (-) the support could become negative
(+) windfall profits(+) possibility of planned maintenance(+) low risk associated to the premium(+) chance of rising prices (-) price is less predictable(-) penalizations due to forecast errors(-) risk of failing prices (-) reduced windfall profits if premium is bounded
Like B) (-) additional risk of TGC prices
Like A)
Conclusion
for introduction
phase
developed markets
with higherpenetration
like B) and with mature
RE technologies
introduction phase
09
Effectiveness Against Expected Profit
6Wind Energy, Support Schemes and Deregulated Electrical Market
Source: OPTRES, 2007
09
Portuguese Support Scheme for Wind Energy
7Wind Energy, Support Schemes and Deregulated Electrical Market
Before DL 33A/2005 After DL 33A/2005
Wind farms licensed until Feb. 2006
Wind farms licensed after Feb. 2006
85 and 95 €/MWh depending on the load factor. Updated
according to the CPI
73 and 74 €/MWh depending on the load factor. Updated after
the park start operation
15 years since the publication 33 GWh of production or 15 years
• The new regulation is less rewarding
• Prices are not subject to market volatility (only to nature volatility)
• Future: green certificates + market prices
• Installed capacity increased 41.2% from 2005 to 2006
• Fixed feed-in tariff
09
Spanish Support Scheme for Wind Energy
8Wind Energy, Support Schemes and Deregulated Electrical Market
RD 436/2004 RD 661/2007
Wind farms in operation before 2008 Wind farms in operation after 2008
Two options:1. Fixed tariff: 68.9 €/MWh
2. Market price + premium (38.3 €/MWh) + incentive
Two options:1. Fixed tariff: 75.6 €/MWh (20 years)
and 63.2 thereafter2. Market price + variable premium,
cap at 87.79 and floor at €73.66 €/MWh
1. fixed for the whole life2. automatically transferred to the
new regime in 2012
1. fixed for the whole life2. Wait to see...
• The new regulation is less rewarding, due to price cap
– many producers will only change after 2012
• The former regulation has an higher risk (no price floor)
• 2007 was a special year with a growth of 3515 MW
09
Why the wind farms started to sell in the market?
9
Source: OMEL&AEE, 2009Source: CNE&AEE, 2008
Source: AEE, 2007
Wind Energy, Support Schemes and Deregulated Electrical Market
09
Wind Power and Electricity Prices
10
• Price reduction of 2 €/MWh for each additional 1000 MW in 2007 (AEE, 2008)
• The reduction in the market price (2005-2007) subtracted from the wind energy support scheme does not entail an additional cost for consumers (Miera, 2008)
• The correlation between the market prices and the wind generation is negative (maximum in 2008 with -0.24) (Bludszuweit, 2009)
• The 64% increase in the market price from 2007 to 2008 was due to natural gas and CO2 allowances prices (AEE, 2009)
Wind Energy, Support Schemes and Deregulated Electrical Market
09
Wind Power Bidding Periods
• They make a bid for the DM and update it in the ID markets
11
WPF 36 hrs ahead are required
PPIITI devIDMDM
T
t
spottpE
1
*
T
t
spott
dailybt
bt pEE
1
,int,
T
t
deviationtt
bt pEE
1
*int,
Premium [€/MWh]
Wind Energy, Support Schemes and Deregulated Electrical Market
Total Income:
E*: produced energyEb: energy of the bid
09
The Economic Value of Wind Power Forecast
12
• Three months participation of a wind farm in MIBEL (Angarita, 2007)
– A) Daily Market
– B) Daily Market + Intraday
• Small producers need to invest in forecasting (or buy forecasting services) and IT tools
• For smaller wind farms (<30 MW) the benefits depend on the cost of purchasing forecasts and accuracy of the forecast (Barthelmiea, 2008)
Persistence
Advanced Model
Income [k€] 1150.7 1206.3 5%
Imbalance Penalties Cost/Income
9.5% 4.5% 5%
Persistence
Advanced Model
Income [k€] 1203.2 1224.8 1.8%
Imbalance Penalties Cost/Income
4.3% 3% 1.3%
Wind Energy, Support Schemes and Deregulated Electrical Market
09
Is Spain a Good Example?
• 4h-7h wind generation covered 53% of the load (max of 10300 MW)
• The average over the whole day was 45 % of the load (max of 11500 MW)
• 1000 MW were disconnected due to a short-circuit and no consequences were verified for the consumers
13Wind Energy, Support Schemes and Deregulated Electrical Market
8 of November of 2009
09
Conclusions
• There is no perfect support schemes (each country is a special case)
• Lower risk and stability (associated to the feed-in tariffs) is the main criterion for investors
• Maybe the green certificates + market price will appear more early in Portugal to achieve EU targets
• Spain offers an attractive remuneration and with low risk
• Wind power in the market removes market power, smooth the price peaks during peak hours, gives transparency and decreases financial burden
• Market rules should be adapted to include wind power
– the decrease of gate closures will decrease system deviations and increase wind power income and the system security
• As more wind power is installed, wind power forecast will become more and more important for both sides
14Wind Energy, Support Schemes and Deregulated Electrical Market
09
Some references…
• P.E. Morthorst et al., “Support schemes for renewable energy. A comparative analysis of payment mechanisms in the EU,” Technical Report, May 2005
• Council of European Energy Regulators, “Status review of renewable and energy efficiency support schemes in EU,” Technical Report, Dec. 2008
• M. Ragwitz et al., “Assessment and optimization of renewable energy support schemes in the European electricity market,” Technical Report, Karlsruhe, Feb. 2007
• G.S. de Miera, P.R. González, and I. Vizcaíno, “Analysing the impact of renewable electricity support schemes on power prices: The case of wind electricity in Spain,” Energy Policy, vol. 36(9), pp. 3345-3359, Sept. 2008
• J. Usaola, J. Angarita, “Benefits of short term wind power prediction programs for the integration of wind energy in electricity markets,” In Proc. of the European Wind Energy Conference, Athens, Greece, 2006
• R. J. Barthelmiea, F. Murraya, and S.C. Pryor, “The economic benefit of short-term forecasting for wind energy in the UK electricity market,” Energy Policy, vol. 36, pp. 1687-1696, 2008
• AEE Wind Power Anuario, Madrid, 2007
• AEE Wind Power Anuario, Madrid, 2008
• AEE Wind Power Anuario, Madrid, 2009
15Wind Energy, Support Schemes and Deregulated Electrical Market
09
State-of-the-art WPF Errors
16
Important for daily market (~11-15% of rated power)Important for intraday market (~7-12% of rated power)
Source: Pinson, 2006
Wind Energy, Support Schemes and Deregulated Electrical Market