Powering Europe - European Wind Energy Association
Powering Europe - European Wind Energy Association
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 />
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