Environmental Engineering Reference
In-Depth Information
Figure 11 : Time series for the power output P ( t ). The upper graph shows the real
power output measured on a multi-MW wind turbine. The graph in
the middle represents the power output P model ( t ) modeled for the same
turbine. The lower graph shows the power output P anomaly ( t ) modeled
for the same turbine, but spoiled by an artifi cial anomaly. A horizontal
line represents the artifi cial limitation in power due to the anomaly.
The power output is normalized by its rated value P r . The three graphs
are given for the same time window of 24 h.
be assessable. Predictions of power quantity, and especially power quality are of
major importance for a large integration of wind energy into the electrical net-
works. However, important developments towards a high frequency wind fore-
cast u ( t ) need to be performed fi rst. Efforts towards such developments are
being made.
4 Conclusions
Power curves for wind turbines establish a relation between wind speed and
electrical power output. This relation is essential for project planning and opera-
tion of wind turbines. Also for the monitoring of turbines, concerning proper
operation and detection of possible misconfi guration or failures, the power curve
is an important tool. It can therefore be considered as a central characteristic of
a wind turbine.
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