The impacts of hourly variations of large scale wind power production in the Nordic countries on the system regulation needs Hannele Holttinen 2 VTT TECHNICAL RESEARCH CENTRE OF FINLAND Contents Wind power production in the Nordic countries: – Variations, smoothing of the variations when geographically distributed generation. Correlation of wind power production Wind power production versus load: – – – VTT PROCESSES Wind power production during peak load hours Variations of geographically distributed wind power production compared to load variations. What is the effect of large scale wind production on the electricity system? How much wind before more flexibility is needed in the system? How much more flexibility (reserves, transmission, DSM) when wind power increases? 3 VTT TECHNICAL RESEARCH CENTRE OF FINLAND Large scale production of wind power Demand (MW) 7000 Fluctuating power production – Wind MW – 6000 5000 Many scattered wind parks – MW 4000 3000 2000 1000 0 169 337 505 – 673 Hour (january 2000) VTT PROCESSES smoothing out the variations when large geographical distribution Production 2…40 hours ahead can be forecasted – 1 min-hours-days-months-years average production of 100 MW, varies between 0…400 MW for scheduling and exchange (market) forecasting errors (regulating market) In-hour variations have to be absorbed by the system 4 VTT TECHNICAL RESEARCH CENTRE OF FINLAND How much wind power can electricity system absorb? => How much does the integration cost? The extra costs of integration depend on wind penetration Costs of integration wind power in the system – X % without extra costs, variations of load will absorb the variations of wind. – XX % with prediction tools, changes in scheduling, changes in transmission (export/import) – > YY % with increasing extra costs for integration – The extra costs of integration depend on electricity system 0 5 10 15 20 25 30 – the amount of flexibility in the The amount of wind power in the system (% of yearly system and the cost of consumption) increasing it (reserves/transmission/DSM) Cost of wind power integration - the shape of the curve The costs of integrating wind power in the system – VTT PROCESSES 5 VTT TECHNICAL RESEARCH CENTRE OF FINLAND Interconnected Nordic market area. Data for 1999…2001 Hourly electricity consumption – Finm Tro Hourly wind power production: – N. SWE Hel – N-M FIN V-M V-S – Ø-L S. SWE S-L – – W.DK E.DK – Central Europe VTT PROCESSES Finland, Sweden, Norway, Denmark East and West Finland: 54 turbines, 21 sites (10 areas scaled to 100 MW each). Sweden: 13 turbines, 4 sites (3 areas scaled to 100 MW each). Denmark: real production of 1800…2300 MW in year 2000, East and West total wind production. Norway: so far only one site Geographically well dispersed for Denmark and Finland Only 4 sites in Sweden, upscaling will overestimate variations 6 VTT TECHNICAL RESEARCH CENTRE OF FINLAND Large scale production of wind power (1) Denmark January 2000, ~2 GW wind Load Total wind 6000 12000 5000 10000 4000 8000 3000 6000 2000 4000 1000 2000 0 0 1 169 337 hour 505 673 Load Total wind One wind park 14000 MW MW 7000 – Finland January 2000, 4 GW wind (8,2 TWh/a) 1 169 337 505 673 Hour Consumption and wind power production in January 2000: Denmark is real data (~12% wind), for Finland and Sweden data from wind parks is scaled up to about 10 % of yearly electricity consumption from wind. VTT PROCESSES 7 VTT TECHNICAL RESEARCH CENTRE OF FINLAND Large scale production of wind power (2) Sweden January 2000, 8 GW wind (16 TWh/a) January 2000, DK-SE-Fi à 4000 MW (25 TWh/a) 28000 45000 24000 40000 35000 20000 16000 Load 12000 Total wind 8000 One wind park 25000 15000 10000 5000 0 0 169 337 hour 505 673 Load Wind 20000 4000 1 – MW MW 30000 1 169 337 505 673 hour January 2000 data: Finland, one wind park average power ~1500 MW varies between 0…4000 MW, for total wind average 1500 MW, 30…3500 MW. For 3 Nordic countries: average 4500 MW, 200...9800 MW. VTT PROCESSES 8 VTT TECHNICAL RESEARCH CENTRE OF FINLAND Correlations inside a country Sweden: – – 2 sites in Gotland, correlation 0.8 Gotland vs Southern Sweden: correlation 0.5…0.7 Finland: Correlation of hourly wind production in Finland, 1999 1.00 correlation 0.80 0.60 0.40 0.20 0.00 0 100 200 300 400 distance (km) VTT PROCESSES 500 600 700 9 VTT TECHNICAL RESEARCH CENTRE OF FINLAND Wind data for countries - statistics YEAR 2000 Finland 1000 MW Sweden 1000 MW Denmark ~1000MW Correlation to Finland 2000 MW 1,00 Correlation to Sweden 2000 MW 0,46 1,00 Correlation to Denmark MW 2000 0,32 0,76 1,00 Average production MW 235 240 242 Minimum hourly value 1 0 0 Maximum hourly value 901 939 1025 Standard Deviation 183 219 220 – – Nordic 1000 MW One wind farm scaled to 239 5 873 172 Correlation of wind data: If wind production data is not correlated, there can be strong winds in one place at the same time as weaker in another, and together the time series will be smoother. The Finnish and Norwegian wind production is only weakly correlated to that in South-Sweden and Denmark. The winds in SouthSweden and Denmark are correlated. Descriptive statistics: The average, maximum and minimum production of wind power production scaled to 1000 MW from Finland/Sweden/Denmark and the whole of the 3 countries are seen. The standard deviation tells about the variability of the hourly time series. As a comparison, data from one wind farm scaled up to 1000 MW is shown. VTT PROCESSES 232 0 1023 261 10 Wind % cap 100 % 90 % 80 % 70 % 60 % 50 % 40 % 30 % 20 % 10 % 0% 12000 10800 9600 8400 7200 6000 4800 3600 2400 1200 0 Pori wind farm 8 MW Demand (MW) 1 Load (MW) wind % of capacity VTT TECHNICAL RESEARCH FINLAND DurationCENTRE curves yearOF 2000 Finland 721 1441 2161 2881 3601 4321 5041 5761 6481 7201 7921 8641 Duration: Wind / Load One wind farm / Total production of 21 sites Hour Duration curves year 2000 Finland Summer: Wind % cap Summer: Load (MW) 100 % 90 % 80 % 70 % 60 % 50 % 40 % 30 % 20 % 10 % 0% Winter: Load (MW) 1 VTT PROCESSES 721 1441 2161 Hour 2881 3601 4321 12000 10800 9600 8400 7200 6000 4800 3600 2400 1200 0 Load (MW) wind % of capacity Winter: Wind % cap Wind / Load Winter / summer 11 VTT TECHNICAL RESEARCH CENTRE OF FINLAND Wind power production during peak load hours Finland, Sweden and Denmark The whole year Denmark 2000 Denmark 2001 Finland 1999 Finland 2000 S.Sweden 1999 S.Sweden 2000 FI+SE+DK 2000 VTT PROCESSES During During During 50 peaks 100 peaks 10 peaks Average Average min-max min-max Average min-max Average min-max 24.2 % 0.0-93.2 % 20.4 % 0.0-91.2 % 22.1 % 0.0-88.6 % 23.5 % 0.1-90.1 % 24.7 % 0.0-100 % 24.0 % 0.0-93.9 % 23.9 % 0.5-87.3 % 30.4 % 0.5-90.6 % 30.6 % 0.1-88.2 % 7.1 % 2.8-36.9 % 29.6 % 2.9-71.8 % 20.3 % 1.9-62.8 % 15.0 % 0.5-60.7 % 15.4 % 2.0-50.9 % 32.9 % 0.4-90.6 % 27.6 % 0.0-88.2 % 8.5 % 2.2-45.9 % 26.8 % 2.9-71.8 % 21.0 % 0.8-66.2 % 15.3 % 0.1-74.8 % 19.9 % 1.3-75.8 % 24.7 % 0.7-71.1 % 36.8 % 0.2-74.1 % 6.9 % 4.7-10.2 % 34.4 % 4.0-71.8 % 22.8 % 15.8-29.2% 14.7 % 2.8-52.4 % 13.0 % 4.8-46.5 % Wind power production during the 10, 50 and 100 highest peak load hours compared to the average production. All numbers: wind power production as % of installed capacity (nameplate capacity). Hourly maximum and minimum values also shown. 12 VTT TECHNICAL RESEARCH CENTRE OF FINLAND Wind power production during 10 highest peak load hours in Finland. Years 1999 and 2000. Finsk tid! Load Wind % cap Fre 29.01.1999 09:00 13083.0 8.19 % Fre 29.01.1999 18:00 13022.0 6.19 % To 28.01.1999 18:00 12964.0 6.55 % To 28.01.1999 20:00 12936.0 6.92 % Fre 29.01.1999 11:00 12935.0 4.80 % To 28.01.1999 19:00 12923.0 6.87 % To 28.01.1999 23:00 12915.0 10.17 % Fre 29.01.1999 08:00 12915.0 8.71 % Fre 29.01.1999 19:00 12914.0 6.24 % Fre 29.01.1999 12:00 12853.0 4.72 % Finsk tid! Load Wind % cap Tii 25.01.2000 08:00 11829 30.98 % Tii 25.01.2000 07:00 11724 27.91 % Per 21.01.2000 17:00 11652 65.70 % Maa 24.01.2000 22:00 11642 7.48 % Tii 25.01.2000 09:00 11632 29.45 % Per 21.01.2000 08:00 11628 71.75 % Per 21.01.2000 18:00 11602 58.59 % Tii 25.01.2000 10:00 11597 34.88 % Maa 24.01.2000 08:00 11552 3.98 % Tii 25.01.2000 17:00 11532 12.81 % January 1999 had lower wind speeds than average (production index 71 %). January 2000 had higher wind speeds than average (production index 112 %). (Production index= calculated production of selected sites compared to average production in January of 11 years 1985…1995. Finnish Meteorological Institute.) VTT PROCESSES 13 VTT TECHNICAL RESEARCH CENTRE OF FINLAND Wind in the system: net load = load - wind Denmark - load and wind power data from January 2000 14000 7000 12000 6000 10000 5000 8000 4000 MW MW Finland - load and upscaled wind power data from January 2000 6000 3000 4000 2000 Load 2000 0 01.01.2000 Load Load - Wind 1000 Load - Wind (4000 MW) 0 08.01.2000 15.01.2000 Time 22.01.2000 29.01.2000 1 169 337 505 673 Hour Large scale wind power production changes the scheduling of the rest of the production system Load pattern well known and studied - prediction models for wind power needed, research still going on VTT PROCESSES 14 VTT TECHNICAL RESEARCH CENTRE OF FINLAND Variations of large scale wind power production In one country – 20 % Eltra 2001 (~1900 MW) 15 % Finland 2000 (34 MW) 10 % – 5% -10 % 8141 7401 6661 5921 5181 4441 3701 2961 2221 1481 -5 % 741 0% 1 Hourly variation (% of installed capacity) Hourly variations of wind production. Duration curve for one year (8760 hours). In Nordic countries – -15 % -20 % – VTT PROCESSES the maximum hourly variation is less than 20 % of capacity the hourly variations are larger than 5 % of capacity during 7-9 % of time the maximum hourly variation is less than 10 % of capacity the hourly variations are larger than 5 % of capacity less than 4 % of time. 15 VTT TECHNICAL RESEARCH CENTRE OF FINLAND Variations of large scale wind power production change in production (% of capacity) Hourly variations of wind production in Finland year 2000 duration 70 % 60 % 50 % 40 % 30 % 20 % 10 % 0% -10 %0 % 10 % 20 % 30 % 40 % 50 % 60 % -20 % -30 % -40 % -50 % -60 % -70 % – Finland 30.125 MW – Olos 3 MW Pori 8 MW Olos 10 min data 12 h variations: – 70 % 80 % 90 % 100 % max ± 95 % of nameplate capacity (Germany, ISET) max ± 84..92 % of capacity (Finland) Hourly variations: max ± 20 % of nameplate capacity (Germany, Denmark, Finland) 15 min variations: – % of time VTT PROCESSES 8.4 % of of nameplate capacity 6 times per month, max 11 % (Denmark) 16 VTT TECHNICAL RESEARCH CENTRE OF FINLAND Year 2000 Finland Demand (MW) 14000 Wind 4000 MW (8,2 TWh) 12000 MW 10000 8000 6000 4000 2000 0 1 721 1441 2161 2881 3601 4321 5041 5761 6481 7201 7921 8641 Hour Finland year 2000 - hourly variations with 4000 MW wind Hourly variation -net load 1500 Hourly variation -load 1000 -1000 -1500 VTT PROCESSES 8431 7869 7307 6745 6183 5621 5059 4497 3935 3373 2811 2249 1687 1125 -500 563 0 1 MW 500 17 VTT TECHNICAL RESEARCH CENTRE OF FINLAND Hourly variations together with load variations Effect to max Wind increase max % of cap 16 % 32 % 18 % 13 % Wind decrease max % cap -17 % -27 % -20 % -13 % The need for regulating power in the system increases if wind production causes larger variations to the system than the variations in load today. The short term variations were studied by hourly time series. This is a preliminary result based on only year 2000 data. Denmark: relatively greater load variations absorb the wind variations. Sweden: data from 4 sites is not representative when scaled up. VTT PROCESSES Load increase max MW 1150 3230 1140 4750 Load decrease max MW -990 -2050 -850 -3000 variations if 10 % of energy wind, MW 200 400 50 0 Increase in max hourly variations caused by wind, year 2000 data change in max variation (MW) Hourly variations: Finland Sweden Denmark FI+SE+DK 1100 1000 900 800 700 600 500 400 300 200 100 0 -1000 % Finland change in net load decrease Finland change in net load increase Sweden change in net load decrease Sweden change in net load increase DK change in net load decrease DK change in net load increase 10 % 20 % wind % of consumption 30 % 40 % 18 VTT TECHNICAL RESEARCH CENTRE OF FINLAND Hourly variations of wind vs variations of load Eltra duration of hourly variations year 2000, wind 1350-1800 MW Finland duration of hourly variations year 2000, wind 4000 MW 1200 load increasing load decreasing net load increasing net load decreasing wind increasing wind decreasing hourly variations (MW) 900 600 300 0 0% -300 5% 10 % 15 % 20 % 25 % load increasing load decreasing 900 net load increasing net load decreasing 600 hourly variations (MW) 1200 w ind increasing w ind decreasing 300 0 0% 5% 10 % 15 % 20 % -300 -600 -600 -900 -900 -1200 -1200 % of time – – – % of time Large amount of turbines in small geographic area (Eltra) Larger geographic area with a small number of turbines (Finland), data upscaled to make 10 % energy penetration Wind has considerably less effect on net load variations when using real data with large amount of turbines and when initial load variations large VTT PROCESSES 25 % 19 VTT TECHNICAL RESEARCH CENTRE OF FINLAND Conclusions from first results of hourly data analysis An effort to estimate the increase in regulation needs for large scale wind power production: – – – Comparing the hourly load variations without wind to the variations after large scale wind production: hourly variations of net load vs load Wind production data upscaled --> over estimate the variations Only 1-2 years of data for each country, Norway still missing Result: 10 % of wind would increase the need of flexibility by 200 MW in Finland, 50 MW in Denmark, 0 MW in the Nordic area – – VTT PROCESSES This applies if no bottlenecks of transmission In Denmark much less effect of wind to net load variations, because wind is well dispersed, production all over Denmark and because in Denmark load variations are considerably higher than in Sweden and Finland 20 VTT TECHNICAL RESEARCH CENTRE OF FINLAND Future work More data: – Probabilistic method of combining the variations of wind and load More statistical analyses: – persistence of production, duration of calms, diurnal distribution of variations (load-wind-net load) Comparisons with other weather related production forms: – – Norway, Denmark offshore wind power data 15.5.1999…14.5.2000 CHP: heat load, temperature correlation of wind. Hydro and solar power Longer term variations of wind (4-12-24-36 hours): – wind power in the electricity market, performance of prediction methods VTT PROCESSES
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