The traditional technical line loss prediction method of low voltage station area has some problems,such as relatively extensive calculation,requiring underlying physical topology,and relying on influence characteristic data. In recent years,a technical line loss and meter error joint estimation technical route based on the principle of conservation of electric energy in station area has been formed,but there are still some problems of difficult model solving and long data requirement period. In order to achieve accurate estimation of technical line loss in low voltage station area,the correlation between daily technical line loss and energy supply was further analyzed on the basis of the existing joint estimation route,and the original model was optimized considering those users with small energy consumption have little influence on the model,and the technical line loss was solved based on gradient descending convex optimization algorithm. Finally,6 759 stations in a certain area were used to calculate the technical line loss. Compared with the traditional algorithm,the assignment accuracy of the proposed method reaches 98%,and is significantly improved.
| 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 |