Quantitative Characterization of Wind Power Fluctuation

The inherent fluctuation characteristic of wind power can lead to many problems for the security and stability of a power system with large-scale wind power integration. Therefore, knowing the fluctuation level of wind power is of great importance for modern power system. To this end, this paper explores how to measure wind power fluctuations easily and precisely. Specifically, a factor reflecting the information loss is established to characterize the wind power fluctuation. An average filter is designed firstly to obtain a smooth curve corresponding to the original wind power time series. Then, the Lebesgue integral is used to calculate the difference between the obtained smooth curve and the original wind power to form the fluctuation factor–information loss rate. The validity of information loss rate has been validated by testing wind power smoothing effect. We draw the conclusion that the proposed factor, the information loss rate, can evaluate any kind of wind power fluctuation simply and credibly.