This paper aims at the complex flow response relationship in the short-term joint operation of Jindong-Guandi cascade hydropower stations in Yalong River basin. In order to predict the inflow response process of the Guandi hydropower station, the random forest (RF) model and support vector regression (SVR) model were combined to mine the nonlinear relationship, and compared with the traditional lag-time model and the Muskingum model. On this basis, two simulation dispatching models were established to test the applicability of each model in the short-term operation of cascade hydropower stations. The result shows that the RF-SVR model has a higher fitting ability for the flow response relationship between hydropower stations, which can reduce the errors in the formulation of short-term dispatching plan, and effectively reduce the deviation of daily generation and the risk of water level violation. The research results can provide a reference for making short-term dispatching schemes of cascade power stations under complex hydraulic connections.
| 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 |