Konferenzbeitrag
Flickering Events in Wind and Solar Power
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Datum
2014
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BIS-Verlag
Zusammenfassung
This paper reports stochastic properties of renewable wind and solar energy resources by studying
their conditional probability distribution functions (cpdf) in different time lags. The empirical
results are obtained for data of global horizontal irradiance measured by a single sensor and the
power output of a single wind turbine, as well as for an averaged solar sensor field and an
aggregated wind farm. Moreover, the dependency of the time series' spread on the solar elevation
angle, and the wind speed, respectively, is investigated in order to assess the risk of flickering in
relation to these variables. The results show that the conditional distribution functions deviate
strongly from Gaussian statistics and possess positive skewness, while the risk of flickering events
in wind power and solar irradiance generally increases with wind speed and solar elevation,
respectively, for single point measurements. Spatial averaging leads to flickering risk reduction.