Through a comparison of the economic advantages of different power decomposition methods for energy storage system capacity configuration and hybrid energy storage system (HESS) over one single energy storage system, a method based on improved moving average filtering and ensemble empirical mode decomposition (EEMD) is proposed to mitigate wind power fluctuations in view of the optimal capacity configuration of HESS. First, EEMD was used to decompose the HESS reference power which was derived by improved moving average filtering, so as to obtain several single-component signals, i.e., intrinsic mode functions (IMFs). Then, the time-frequency spectrum of each IMF was processed by Hilbert transform to identify the suitable gap frequency, and the HESS reference power was obtained by reconstructing the high- and low-frequency components. Meanwhile, the charge-discharge efficiency of the energy storage system and its state-of-charge were fully taken into account, and the rated power and capacities were configured. Finally, based on the life cycle cost theory, an economic cost calculation model for the energy storage system was established to compare the cost among different configuration schemes, thereby obtaining the optimal one with the highest economic efficiency.
| 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 |