The scheduling model based on a microgrid virtual distributed cloud energy storage ecosystem can solve the problem of random analysis caused by power distribution and effectively reduce the electricity consumption cost, which has distinct advantages compared with the traditional distributed energy storage system. In this paper, through the introduction of a concept of natural ecosystem to the distributed energy storage system, the operators are added to the microgrid system, forming the users under the cloud energy storage system, operators, microgrid system operators, and a dynamic energy storage system with the conventional load agent design. By dispatching the electrical energy in the microgrid and the cloud energy storage system in real-time, the electricity consumption cost in the virtual distributed cloud energy storage system is reduced, and the power load curve is optimized, thus realizing a dynamic multi-entity balance in the game model and benefits as well.
| 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 |