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Powering Europe - European Wind Energy Association

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grid, such as large conventional generators suddenly<br />

dropping off line and errors in demand forecast. Obviously,<br />

as illustrated in Figure 3, wind energy’s share<br />

of production – which can be quite high - determines<br />

how much system operation will be affected by wind<br />

variability.<br />

Variableversusintermittentgeneration<br />

<strong>Wind</strong> power is sometimes incorrectly considered<br />

to be an intermittent generator. This is misleading.<br />

At power system level, wind power does not<br />

start and stop at irregular intervals (which is the<br />

meaning of intermittent, and which is a characteristic<br />

of conventional generation). Even in extreme<br />

events such as storms it takes hours for most of<br />

the wind turbines in a system area to shut down.<br />

For example in the storm of 8 January 2005, it<br />

took six hours for the aggregated wind power in<br />

Western Denmark to shut down from 90% to 10%<br />

production. Moreover, periods with zero wind power<br />

production are predictable and the transition to<br />

zero power is gradual over time. It is also worthwhile<br />

considering that the technical availability of<br />

wind turbines is very high (98%) compared to other<br />

technologies. Another advantage of wind power<br />

in this respect is its modular and distributed installation<br />

in the power system. Breakdown of a<br />

single unit has a negligible effect on the overall<br />

availability. Thus, the term intermittent is inappropriate<br />

for system wide wind power and the qualifier<br />

variable generation should be used.<br />

Short-term variability<br />

For grid integration purposes, the short-term variability<br />

of wind power (from minutes to several hours) is<br />

the most important. It affects the scheduling of generation<br />

units, and balancing power and the determination<br />

of reserves needed. The short-term variability<br />

of wind power, as experienced in the power system,<br />

is determined by short-term wind variations (weather<br />

patterns), and the geographical spread of wind power<br />

plants.<br />

chApTEr 2 <strong>Wind</strong>generationandwindplants:theessentials<br />

The total variability experienced in the power system<br />

is determined by simultaneous variations in loads for<br />

all wind power plants and other generation units. The<br />

impact of the short-term variation of wind power on a<br />

power system depends on the amount of wind power<br />

capacity and on many factors specific to the power<br />

system in question (generation mix, degree of interconnection),<br />

as well as how effectively it is operated<br />

to handle the additional variability (use of forecasting,<br />

balancing strategy).<br />

Analysing the available power and wind measurements<br />

at typical wind plant locations allows the variations in<br />

net power output expected for a given time period, i.e.<br />

within a minute, within an hour or over several hours,<br />

to be quantified. The distinction between these specific<br />

time scales is made because this type of information<br />

corresponds to the various types of power plants<br />

for balancing. Experience and power system analyses<br />

show that the power system handles this short-term<br />

variability rather well.<br />

Variationswithintheminute:notanoticeable<br />

impact<br />

The fast variations (seconds to one minute) of aggregated<br />

wind power output as a consequence of turbulence<br />

or transient events are quite small as can be<br />

seen in the operational data of wind farms. As a result<br />

they are hardly felt by the system.<br />

Variationswithinthehourarefeltbythesystemat<br />

largerpenetrationlevels<br />

These variations (10-30 minutes) are not easy to<br />

predict, but they even out to a great extent with geographic<br />

dispersion of wind plants. Generally they remain<br />

within ±10% of installed wind power capacity<br />

for geographically distributed wind farms. The most<br />

significant variations in power output are related to<br />

wind speed variations in the range of 25 – 75% of<br />

rated power, where the slope of the power curve is the<br />

steepest. The variations within an hour are significant<br />

for the power system and will influence balancing capacities<br />

when their magnitude becomes comparable<br />

to variations in demand; in general this will be from<br />

wind energy penetration levels of 5 to 10% upwards.<br />

43

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