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Powering Europe - European Wind Energy Association

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At <strong>Europe</strong>an system level the EWIS study (penetration<br />

of 10%, time horizon up to 2015) found additional<br />

balancing costs in the order of €2/MWh,<br />

which is well in the range of the other studies. A<br />

very important common finding of system studies is<br />

that there is no steep change in required reserves<br />

or the cost of their deployment with increasing penetration.<br />

The estimations of the studies may be on<br />

the conservative side because in practice system<br />

operators use forecasts in a much better way than<br />

assumed in the models.<br />

• Aggregating wind power over large interconnected areas<br />

and dispersed sites and using combined predictions<br />

helps to bring down the wind power forecast<br />

error to manageable levels in the time frames relevant<br />

for system operation (four-24 hours ahead).<br />

To help efficiently integrate wind power, forecasting<br />

tools should be installed in the control room of the<br />

system operator. The cost-benefit ratio of applying<br />

centralised forecast systems is very high – because<br />

of the high reduction in operational costs of power<br />

generation corresponding to reduction in uncertainty.<br />

Forecasting needs to be customised to optimise<br />

chApTEr 3 powersystemoperationswithlargeamountsofwindpower<br />

the use of the system reserves in the different time<br />

scales of system operation. It is important to develop<br />

ways of incorporating wind power uncertainties<br />

into existing planning tools and models, and in this<br />

area more R&D is needed.<br />

• Clustering wind farms into virtual power plants enhances<br />

the controllability of the aggregated wind<br />

power for optimal power system operation. Practical<br />

examples, for instance in Spain, demonstrate the<br />

benefits of the coordinated operation of distributed<br />

variable generation sources as a means to manage<br />

their variability and enhance their predictability, supported<br />

by dedicated national and regional control<br />

centres put in place by the system operator.<br />

• <strong>Wind</strong> power capacity replaces conventional generation<br />

capacity. The capacity credit of large-scale wind<br />

power at <strong>Europe</strong>an level is in the order of 10% of<br />

rated capacity at the wind power penetration levels<br />

foreseen in the Trade<strong>Wind</strong> medium scenario of<br />

200 GW in 2020. Aggregating wind power from dispersed<br />

sites using and improving the interconnected<br />

network helps to increase its capacity credit.<br />

91

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