Full
Outline
Aimed at the problem of over-smoothing in the process of wind power fluctuation smoothing by means of traditional wavelet packet decomposition, an improved wavelet packet decomposition method is proposed based on the time-frequency analysis by introducing the smoothing coefficients of high-frequency components. First, the set of time when the power fluctuation crosses the limit is found, and the components ineach frequency band are obtained using the traditional wavelet packet decomposition. Then, the optimal smoothing coefficients are determined based on an objective function and constraints, and the power components in the set of limit-crossing time are suppressed in turn, starting from the highest-frequency components until the fluctuation limits under the two time windows are satisfied. Finally, the smoothing effect is evaluated. Through the simulation analysis of an example, it is verified that under the premise of satisfying the fluctuation limits, the improved wavelet packet method can reduce the charge and discharge accumulation of energy storage and maintain the power output level of energy storage in a better state under different scenarios.
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| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
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