Influence of Wind Power on Intraday Electricity Spot Market: A Comparative Study Based on Real Data
Abstract
:1. Introduction
2. Electricity Production and Transmission Costs
2.1. Electricity Production Costs Overview
2.2. Electricity Production Incentives
- WP—The average incentive rate for the existing WP farms is around 75 €/MWh. However, the Portuguese Government has established a compensation return scheme that implies the return of part of those incomes to the National Electrical System. Regarding small production, this support corresponds to 70% of an annual reference tariff, which, for 2017, it was set at 95 €/MWh.
- Solar—The indicative average rate of incentives for solar power farms is around 257 €/MWh. In the case of a solar power plant with a limit up to 5 MW of installed power, the average value is 380 €/MWh. For installed power between 5 and 10 MW, the average value is 270 €/MWh. Regarding small production, the tariff corresponds to 100% from the reference tariff, which for the year 2017, was set at 95 €/MWh.
- Hydro—The indicative average rate of incentives for traditional hydropower plants has an average value of 93 €/MWh. For tidal power plants, in the case of pilot projects with a capacity of more than 4 MW, this average incentive is 260 €/MWh. In other cases, for the first 20 MW of installed power, the value is 191 €/MWh, from 20 to 100 MW the marginal value is 131 €/MWh, and for the subsequent 150 MW the marginal value is 101 €/MWh. In the case of small productions, the tariff corresponds to 60% of the reference, which for 2017, had a fixed value of 95 €/MWh.
2.3. CO2 Emission Costs
2.4. WP Production and Transmission Costs
3. Wind Power Influence in the MIBEL Intraday Spot Market
3.1. Proposed Model and Data Collection
3.2. Market Simulator Model
3.3. Data Structure and Market Simulator Functionalities
- Agents;
- Properties;
- Units;
- Offers;
- Interconnection energy balances.
- The agents are the owners, totally or partially, of units through which agents make offers to the market;
- The agents and the units have a unique code assigned by OMIE [34];
- Each unit is registered in a specific market area, i.e., Portugal, Spain or the Iberian Peninsula borders.
- “Mode 1”: in this mode, it is proposed that the market simulator may present, based on the offers made to the market, the results obtained in the actual trading of the market, at any time. For this functional mode, the user interface is shown in Figure 2.
- “Mode 2”: it allows the user to know all the information related to “Mode 1” and it also allows the selection of a particular agent, with the addition of having the possibility of knowing the agent’s interaction with each offer to the market. This mode is illustrated in Figure 3 and Figure 4, respectively. The user interface for this functional mode presents two alternatives in the agent’s selection, allowing each alternative the possibility of segregation by target country:
- ○
- Agent code selection or;
- ○
- Selection by Agent name.
- “Mode 3”: it enables the selection of the technology or technologies used in the electricity production. With this mode, the EM is simulated by withdrawing the bids from the deprecated production technologies. This interface display is similar to Figure 2.
4. Intraday Spot Market Simulation Results
4.1. Market Simulator Layout
4.2. Market Simulator Analysis
- Real Production and EMP with the WP integration restriction;
- EMP differences with the restriction of the real EM;
- Loads to be met in the EM;
- The condition of the energy’s availability in the system with restriction;
- The condition of the market split, with and without restriction;
- Transits of energy in the Portugal-Spain interconnection.
4.3. Market Simulator Results Treatment
- Time period;
- Time period with aggregation per day of the week and per month;
- Aggregation by day of the week and per month.
4.4. Results Analysis
- There is a worsening of 1.56 €/MWh in the Portuguese EMP, and of 1.12 €/MWh in the Spanish one;
- There is less EMP volatility;
- There are less market splitting conditions;
- There were no relevant variations in the maximum transits interconnection between Portugal and Spain;
- There are more conditions for partial power outages.
5. Conclusions
Author Contributions
Funding
Conflicts of Interest
Disclaimer
Abbreviations
APREN | Portuguese Association for Renewable Energy. |
DBMS | Database management system. |
DSO | Distribution System Operator. |
EDP | Portuguese energy enterprise. |
EM | Electricity markets. |
EMP | Electricity market prices. |
GARCH | Generalized auto regressive conditional heteroscedasticity. |
IESM | Intraday electricity spot market. |
MIBEL | Iberian Electricity Market. |
OMIE | Iberian Electricity Market Operator. |
PT | Portugal. |
REN | Portuguese Transmission System Operator. (Redes Energéticas Nacionais). |
RES | Renewable energy sources. |
SP | Spain. |
SQL | Simple query language. |
TSO | Transmission System Operator. |
WP | Wind power. |
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(€/MWh) | EMP in PT | EMP in SP | EMP with WP Restriction in PT | EMP with WP Restriction in SP | EMP Difference in PT | EMP Difference in SP | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Time | Mean | σ | Mean | σ | Mean | σ | Mean | σ | Mean | % | Δσ (%) | Mean | % | Δσ (%) |
1 | 44.62 | 14.41 | 44.91 | 13.84 | 46.19 | 13.81 | 46.31 | 13.51 | 1.57 | 3.5 | −4.2 | 1.40 | 3.1 | −2.4 |
2 | 41.22 | 13.92 | 41.49 | 13.28 | 42.71 | 13.43 | 42.86 | 13.10 | 1.49 | 3.6 | −3.5 | 1.37 | 3.3 | −1.4 |
3 | 39.09 | 13.88 | 39.35 | 13.11 | 40.39 | 13.61 | 40.69 | 12.97 | 1.30 | 3.3 | −1.9 | 1.35 | 3.4 | −1.1 |
4 | 37.55 | 14.25 | 37.70 | 13.28 | 38.79 | 13.94 | 39.10 | 13.19 | 1.24 | 3.3 | −2.2 | 1.40 | 3.7 | −0.7 |
5 | 37.40 | 14.34 | 37.09 | 13.55 | 38.92 | 13.92 | 38.92 | 13.35 | 1.52 | 4.1 | −2.9 | 1.84 | 4.9 | −1.5 |
6 | 38.28 | 14.15 | 38.17 | 13.47 | 39.84 | 13.73 | 39.96 | 13.20 | 1.57 | 4.1 | −2.9 | 1.79 | 4.7 | −2.0 |
7 | 41.60 | 14.26 | 41.90 | 13.66 | 42.93 | 13.74 | 43.16 | 13.27 | 1.33 | 3.2 | −3.7 | 1.27 | 3.0 | −2.8 |
8 | 45.28 | 16.65 | 46.49 | 15.23 | 46.86 | 15.57 | 47.34 | 15.01 | 1.58 | 3.5 | −6.5 | 0.85 | 1.8 | −1.4 |
9 | 46.81 | 17.65 | 49.09 | 15.30 | 49.11 | 15.59 | 49.76 | 15.04 | 2.30 | 4.9 | −11.7 | 0.67 | 1.4 | −1.7 |
10 | 49.11 | 17.08 | 50.88 | 15.15 | 50.73 | 15.57 | 51.35 | 14.98 | 1.62 | 3.3 | −8.8 | 0.47 | 0.9 | −1.2 |
11 | 49.95 | 16.22 | 51.23 | 14.83 | 51.24 | 15.08 | 51.69 | 14.68 | 1.30 | 2.6 | −7.0 | 0.46 | 0.9 | −1.0 |
12 | 49.58 | 15.62 | 50.47 | 14.56 | 51.40 | 14.67 | 51.52 | 14.47 | 1.82 | 3.7 | −6.1 | 1.05 | 2.1 | −0.6 |
13 | 49.37 | 15.65 | 50.09 | 14.62 | 50.88 | 14.74 | 50.97 | 14.55 | 1.51 | 3.1 | −5.8 | 0.88 | 1.8 | −0.4 |
14 | 49.08 | 15.53 | 49.88 | 14.43 | 50.42 | 14.72 | 50.65 | 14.39 | 1.33 | 2.7 | −5.2 | 0.78 | 1.6 | −0.3 |
15 | 47.75 | 15.13 | 48.20 | 14.62 | 48.79 | 14.65 | 48.88 | 14.61 | 1.05 | 2.2 | −3.2 | 0.68 | 1.4 | −0.1 |
16 | 46.40 | 15.60 | 46.73 | 15.21 | 47.75 | 15.30 | 47.92 | 15.12 | 1.35 | 2.9 | −2.0 | 1.20 | 2.6 | −0.6 |
17 | 46.06 | 15.80 | 46.40 | 15.45 | 47.37 | 15.44 | 47.43 | 15.34 | 1.31 | 2.8 | −2.3 | 1.04 | 2.2 | −0.8 |
18 | 47.46 | 15.93 | 47.82 | 15.65 | 48.67 | 15.51 | 48.81 | 15.40 | 1.21 | 2.6 | −2.6 | 0.99 | 2.1 | −1.6 |
19 | 49.32 | 16.46 | 49.92 | 16.06 | 50.80 | 15.99 | 50.95 | 15.82 | 1.48 | 3.0 | −2.8 | 1.03 | 2.1 | −1.5 |
20 | 50.94 | 16.36 | 51.92 | 15.34 | 52.67 | 15.61 | 52.93 | 15.32 | 1.73 | 3.4 | −4.5 | 1.00 | 1.9 | −0.1 |
21 | 52.32 | 15.26 | 53.13 | 14.26 | 53.76 | 14.68 | 54.12 | 14.13 | 1.45 | 2.8 | −3.8 | 0.99 | 1.9 | −1.0 |
22 | 52.21 | 15.40 | 53.34 | 13.80 | 54.53 | 13.91 | 54.71 | 13.62 | 2.33 | 4.5 | −9.7 | 1.37 | 2.6 | −1.3 |
23 | 49.57 | 14.94 | 50.47 | 13.67 | 51.57 | 13.97 | 51.76 | 13.56 | 2.00 | 4.0 | −6.5 | 1.29 | 2.6 | −0.8 |
24 | 44.99 | 14.49 | 45.37 | 13.81 | 47.02 | 14.09 | 47.15 | 13.79 | 2.03 | 4.5 | −2.7 | 1.78 | 3.9 | −0.2 |
Average | 46.08 | 15.37 | 46.75 | 14.42 | 47.64 | 14.64 | 47.87 | 14.27 | 1.56 | 3.4 | −4.7 | 1.12 | 2.5 | −1.1 |
Time | Energy Availability | Market Split | Market Split with WP Restriction |
---|---|---|---|
1 | 98.7% | 3.2% | 1.6% |
2 | 98.3% | 4.7% | 2.6% |
3 | 98.3% | 6.4% | 3.7% |
4 | 97.1% | 8.2% | 5.7% |
5 | 97.1% | 8.1% | 4.8% |
6 | 98.5% | 6.4% | 3.7% |
7 | 98.6% | 4.3% | 2.4% |
8 | 98.8% | 6.3% | 2.4% |
9 | 98.3% | 9.9% | 2.1% |
10 | 98.9% | 7.3% | 2.0% |
11 | 99.0% | 4.4% | 1.1% |
12 | 99.2% | 4.0% | 1.1% |
13 | 99.1% | 3.7% | 0.9% |
14 | 98.6% | 4.5% | 1.3% |
15 | 98.4% | 3.7% | 1.2% |
16 | 98.9% | 3.9% | 1.7% |
17 | 99.0% | 3.9% | 1.5% |
18 | 99.5% | 3.8% | 1.6% |
19 | 99.4% | 3.7% | 1.4% |
20 | 99.3% | 4.3% | 1.4% |
21 | 99.1% | 4.8% | 2.0% |
22 | 99.2% | 6.0% | 1.4% |
23 | 99.6% | 4.9% | 1.0% |
24 | 98.9% | 2.6% | 1.3% |
Average | 98.7% | 5.1% | 2.1% |
Month/Year | EMP in PT | EMP in SP | EMP with WP Restriction in PT | EMP Difference in PT | EMP with WP Restriction in SP | EMP Difference in SP | |
---|---|---|---|---|---|---|---|
1st Quarter | Jan./15 | 51.57 | 51.65 | 52.96 | 1.40 | 53.20 | 1.56 |
Fev./15 | 41.15 | 41.31 | 43.15 | 2.00 | 43.14 | 1.84 | |
Mar./15 | 41.74 | 41.75 | 42.70 | 0.96 | 42.72 | 0.97 | |
2nd Quarter | Apr./15 | 45.95 | 45.92 | 47.20 | 1.24 | 47.20 | 1.28 |
May/15 | 44.51 | 44.39 | 45.89 | 1.38 | 45.84 | 1.46 | |
Jun./15 | 54.29 | 54.16 | 55.22 | 0.93 | 55.18 | 1.02 | |
3rd Quarter | Jul./15 | 58.44 | 58.43 | 59.37 | 0.93 | 59.37 | 0.93 |
Aug./15 | 53.66 | 53.69 | 54.54 | 0.88 | 54.62 | 0.94 | |
Sep./15 | 49.54 | 49.53 | 50.38 | 0.84 | 50.38 | 0.84 | |
4th Quarter | Oct./15 | 48.72 | 48.89 | 49.80 | 1.07 | 49.88 | 0.99 |
Nov./15 | 51.18 | 51.05 | 52.69 | 1.51 | 52.75 | 1.70 | |
Dec./15 | 51.44 | 51.25 | 52.56 | 1.12 | 52.58 | 1.33 | |
1st Quarter | Jan./16 | 32.59 | 34.52 | 35.40 | 2.81 | 35.84 | 1.31 |
Fev./16 | 26.08 | 26.79 | 27.55 | 1.47 | 27.82 | 1.03 | |
Mar./16 | 27.15 | 27.64 | 28.13 | 0.98 | 28.35 | 0.71 | |
2nd Quarter | Apr./16 | 21.71 | 23.40 | 23.97 | 2.26 | 24.95 | 1.55 |
May/16 | 22.84 | 25.21 | 25.72 | 2.88 | 26.50 | 1.29 | |
Jun./16 | 34.10 | 38.43 | 37.88 | 3.79 | 39.13 | 0.70 | |
3rd Quarter | Jul./16 | 39.50 | 40.46 | 41.08 | 1.59 | 41.32 | 0.86 |
Aug./16 | 39.99 | 40.00 | 40.75 | 0.76 | 40.75 | 0.75 | |
Sep./16 | 42.51 | 42.97 | 43.65 | 1.15 | 43.70 | 0.73 | |
4th Quarter | Oct./16 | 52.15 | 52.34 | 53.07 | 0.92 | 53.32 | 0.97 |
Nov./16 | 56.20 | 56.43 | 57.77 | 1.57 | 57.98 | 1.55 | |
Dec./16 | 58.11 | 60.04 | 60.57 | 2.46 | 61.19 | 1.15 | |
1st Quarter | Jan./17 | 71.17 | 72.65 | 74.27 | 3.10 | 74.52 | 1.86 |
Fev./17 | 46.15 | 49.90 | 49.64 | 3.49 | 51.19 | 1.28 | |
Mar./17 | 43.35 | 42.87 | 44.32 | 0.97 | 44.24 | 1.37 | |
2nd Quarter | Apr./17 | 43.28 | 43.48 | 44.49 | 1.21 | 44.72 | 1.24 |
May/17 | 46.80 | 46.80 | 47.72 | 0.92 | 47.72 | 0.92 | |
Jun./17 | 49.31 | 49.68 | 49.91 | 0.61 | 50.15 | 0.48 | |
3rd Quarter | Jul./17 | 47.54 | 47.75 | 48.25 | 0.70 | 48.31 | 0.56 |
Aug./17 | 46.09 | 46.19 | 46.83 | 0.75 | 46.86 | 0.66 | |
Sep./17 | 48.14 | 48.19 | 48.67 | 0.53 | 48.72 | 0.53 | |
4th Quarter | Oct./17 | 56.02 | 55.97 | 57.03 | 1.00 | 56.96 | 0.99 |
Nov./17 | 60.38 | 60.49 | 61.36 | 0.97 | 61.64 | 1.15 | |
Dec./17 | 57.68 | 57.42 | 59.01 | 1.34 | 59.35 | 1.93 |
Day | EMP in PT | EMP in SP | EMP with WP Restriction in PT | EMP Difference in PT | EMP with WP Restriction in SP | EMP Difference in SP |
---|---|---|---|---|---|---|
Monday | 47.39 | 47.70 | 48.75 | 1.36 | 48.89 | 1.18 |
Tuesday | 48.95 | 49.50 | 50.15 | 1.20 | 50.44 | 0.94 |
Wednesday | 48.73 | 49.24 | 50.19 | 1.46 | 50.39 | 1.16 |
Thursday | 48.73 | 49.43 | 50.19 | 1.46 | 50.40 | 0.97 |
Friday | 47.67 | 48.87 | 49.33 | 1.66 | 49.73 | 0.86 |
Saturday | 43.36 | 44.07 | 45.08 | 1.72 | 45.37 | 1.30 |
Sunday | 38.54 | 38.49 | 39.84 | 1.30 | 39.95 | 1.45 |
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Frade, P.M.S.; Vieira-Costa, J.V.G.A.; Osório, G.J.; Santana, J.J.E.; Catalão, J.P.S. Influence of Wind Power on Intraday Electricity Spot Market: A Comparative Study Based on Real Data. Energies 2018, 11, 2974. https://doi.org/10.3390/en11112974
Frade PMS, Vieira-Costa JVGA, Osório GJ, Santana JJE, Catalão JPS. Influence of Wind Power on Intraday Electricity Spot Market: A Comparative Study Based on Real Data. Energies. 2018; 11(11):2974. https://doi.org/10.3390/en11112974
Chicago/Turabian StyleFrade, Pedro M. S., João V. G. A. Vieira-Costa, Gerardo J. Osório, João J. E. Santana, and João P. S. Catalão. 2018. "Influence of Wind Power on Intraday Electricity Spot Market: A Comparative Study Based on Real Data" Energies 11, no. 11: 2974. https://doi.org/10.3390/en11112974