Under the background of building a new-type power systems, the hydro-thermal-wind-solar-storage system with a high proportion of new energy has become the main research object of power system planning. It is necessary to perform high-frequency iterative calculations on the long-term supply-demand balance of the hydro-thermal-wind-solarstorage system to achieve quantitative analysis of sensitive boundaries, which puts forward higher requirements for the calculation efficiency of the analysis method. Considering the working characteristics of various power sources and the output probability characteristics of new energy sources, this paper proposed a heuristic unit commitment algorithm based on operating rules, which realizes the daily determination of the unit start-up mode throughout the year, and further constructed a supply-demand balance model. Finally, a case study based on a regional power grid example proved that the proposed model and method were feasible and effective, which provides reference for analyzing long-term supply-demand balance of the hydro-thermal-wind-solar-storage system.
| 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 |