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The significant uncertainty of highproportion wind power can make the scenarios of cascading failures in the power system more numerous and the mechanisms more complex. Identifying the key propagation modes of cascading failures is of great significance for preventing major power outages. This paper first considers factors such as wind power output uncertainty and component failure, establishes a dynamic analysis model for cascading failures. On this basis, failure propagation path data under massive initial scenarios are generated. Besides, an influence correlation diagram describing the sequential propagation process of cascading failures is established. Moreover, a method for identifying key failure propagation modes is proposed in combination with probabilityconsequences to screen highrisk propagation links of cascading failures under highproportion wind power access. Finally, the IEEE 118 node is used to verify the effectiveness of the proposed method in identifying key propagation modes.
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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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