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27<br />

Phenomenological Response Theory<br />

to Predict Power Output<br />

Alexander Rauh, Edgar Anahua, Stephan Barth and Joachim Peinke<br />

27.1 Introduction<br />

This contribution is on power prediction of wind energy converters (WEC)<br />

with emphasis on the effect of the delayed response of the WEC to fluctuating<br />

winds. Let us consider the wind speed–power diagram, Fig. 27.1a, with a<br />

typical power curve of a 2 MW turbine.<br />

Suppose at time t0 the system is at working point {U0, L0} outside the<br />

power curve with a wind speed U0 which is constant for a long time. Then, for<br />

t>t0, the system will move toward the power curve, either from above or from<br />

below. The power curve acts as an attractor [2]. What happens in a fluctuating<br />

wind field? Let us follow a short-time series in the wind-speed power diagram,<br />

see Fig. 27.1b. We start at some time t0 with a wind speed U(t0) and a<br />

power output L(t0). At the next time step, one observes a jump to the point<br />

{U(t1), L(t1)}, then to the point {U(t2), L(t2)}, and so on. In Fig. 27.1b,<br />

consecutive points are connected by straight lines to form a trajectory. In the<br />

ideal case of an instantaneous response of the turbine, and in the absence of<br />

noise, all points would lie on the power curve. Actually, the turbine reacts with<br />

a delayed response to the wind-speed fluctuations. The timely changes of the<br />

wind speed, ˙ U, together with a finite response time hamper accurate power<br />

prediction by means of the power curve alone. The application of a suitable<br />

reponse theory may help to properly include the influence of turbulent wind<br />

in the power assessment. In Fig. 27.2 we show a typical point cluster which is<br />

broadly spread around the power curve.<br />

In the following we will discuss in some detail the main idea of a previously<br />

published phenomenological response theory [1]. We also will propose an<br />

extremal principle to establish an empirical power curve from measurement<br />

data [4]. The method is similar but not identical to the attractor principle<br />

applied elsewhere [2]. In addition we present an elementary theorem on power<br />

prediction in the case of a constant relaxation time of the WEC.

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