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Curtailment in the Irish power system.Fred UdoMonnickendam, May 1st, 2012; Email: fredudo@xs4all.nl
Figure 1, taken from P.F. Bach [2].
Figure 1 taken from ref. 2 illustrates clearly the correlation between
electricity export and wind energy production. The wind production is 20% of
the total demand averaged over a year, but less
than half of it is absorbed in the Danish grid [3].
Figure 2. Demand and wind energy production as a function of time in units of ¼ hour. Curtailment occurs mainly at periods of low demand, so we rearrange the 2880 data points of wind production and total demand in order of decreasing demand.
Figure 3. The data points of figure 2 arranged in order of decreasing demand. The curve of decreasing demand is correlated with the time of the day, as high demands occur during the day and low demands occur during the night. The upper curve starts at 4300 MW, a daytime point of highest demand, and runs down to 2000 MW some time during a weekend night in November 2011. As wind is uncorrelated with total demand the recorded points of wind production show no structure. One feature is clear however: at low demand the thickness of the red band diminishes and starts to follow the demand curve at a constant distance. This is curtailment and the conclusion from the distance between the demand curve and the band of wind production is, that the operators started to cut into the wind production if the demand for conventional energy became less than about 1300 MW. This 1300 MW is the “must run” production in the Irish power grid. This “must run” production is well below the minimum demand in the system, which is around 1800 MW. It is clear, that the amount of curtailment is critically dependent on the “must run” power level of the conventional system compared to the minimum total demand.
In the following discussion we use average production instead of total
production as the numbers for different periods of time can thus be compared
without adjustment.
This calculation neglects a possible day/night effect in the wind energy production. The points of lowest demand occur always during the night, so a day/night variation of the wind force could cause a similar effect.This objection can be resolved by the real time, ¼ hour wind energy production forecasts, which are also published by Eirgrid.
Figure 4. The wind production forecasts arranged as in figure 3. The characteristic dip visible in the wind recording of figure 2 is absent, but the numbers show indeed a day/night effect:
There is indeed a day/night effect, so the curtailment reduces from 86 MW to
(755 – 736) = 19 MW.
This amounts to 2,7% of the average wind energy production.
We noted before, that the curtailment is extremely sensitive to the amount of
must run production compared to the minimum demand. We increased artificially
the must run production to 1900 MW.
The curtailment rose from 2,7% to 17%.
This number varies from month to month, due to the changing nature of the wind
and because the composition of the conventional generation is not constant.
Hydropower makes a grid much more flexible, so the required minimum of
conventional generation might vary.
This implies, that although the calculation is straightforward without any
assumptions, the results are different from month to month.
The results for the year 2011 are calculated by taking the average over the 12
months.
The forecast predicts 497 MW in case of no curtailment, so the curtailment is: 497 – 484 = 13 MW Figure 4 illustrates the procedure.
Figure 5. Wind production and forecast. Figure 4 shows the points. Point 1 are all 2880 points, point 2 are the points 1 to 2000 and 3 are the points 1 – 1500. The forecast is normalized to the data at point 3.
This procedure guarantees the “must run” margin for the conventional system. Figure 6 illustrates the result of the procedure. The red band follows the demand curve now everywhere at a distance of 1300 MW, so the curtailment occurs now during all times of the day, even at peak demands.
Figure 6. Demand and wind.
We take the original average value for the wind energy production and multiply
this number by 3 to arrive at an expected wind contribution. We compare this
number to the average wind production in the curtailed situation.
Figure 7. Curtailment. Figure 7 shows the wind energy curtailment loss as a function of the expected wind contribution. The data of figure 6 tell something about the influence of the wind on the running of the conventional generators. Figure 6 presents the case of 50% intended wind, but figure 7 tells us that the real contribution is not more than 35% because 1/3 of the wind energy cannot be absorbed in the grid. One can also derive from the data of figure 6, that the conventional generators are pressed to deliver not more than 1500 MW during 47% of the total time. The lower edge of the red band indicates that during a large part of the time not more than 200 MW wind is available. This implies, that at least 4 GW conventional capacity should be standby to cope with these minima, but at the same time these generators are not allowed to produce more than 1500 MW. Modern CCGT units are advocated as the ideal backup generators for wind energy. One has to realise, that the recommended operating range of a modern 59% efficient CCGT unit is between 60% and 100% of its maximum power output [5]. At power levels lower than 60% of the maximum the efficiency lowers nearly linearly with the power level, This implies, that the must run power level needs to be adjusted to this requirement and the curtailment will be above the levels calculated from the simple extrapolation presented here. Reference 1 shows, that the efficiency of the Irish wind energy production is seriously affected at present levels of wind penetration, so it will be disastrous at three times the actual wind energy contribution.
May 1st, 2012
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