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Outline
Compared to traditional energy, new energy exhibits obvious randomness, volatility, and regional characteristics, and its large-scale integration into the power grid will undoubtedly have a profound impact on the operation of the power system. Therefore, this article takes wind power as the research object, first analyzes its output characteristics and common distribution line loss calculation methods, and proposes an optimized power loss calculation method for the power grid. Considering the fluctuation of wind power output, the equivalent output curve of typical days in the month is corrected by combining the average electricity quantity and shape factor to calculate the power flow. Furthermore, the power loss data of typical days is used to estimate the power loss situation of the entire month. Finally, the proposed improved power loss calculation method was validated through numerical examples, and the results fully demonstrated the engineering feasibility of the proposed improved algorithm, effectively improving work efficiency and providing important guidance for engineering applications.
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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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