Due to the intermittency and uncertainty of wind power on the time scale and complementarity on the spatial scale, the line capacity is underutilized and the cost of wind power is high in traditional planning. Combined with the output characteristics of largescale wind power, considering the smoothing effect, the construction cost of transmission projects, the cost of wind power curtailment, and the income, the economic evaluation model of offshore wind farm aggregation system is established, and the model is solved by using an improved genetic algorithm. The genetic algorithm is improved based on the minimum spanning tree of dynamic weight variation, and the coding, selection, crossing, and mutation links in the genetic algorithm are improved to promote the efficiency of the algorithm. Taking a wind farm cluster in Jiangsu Province as an example, the topology of wind turbines and the convergence and connection mode of wind farms are optimized, and the results show that the proposed algorithm has good optimization and convergence. And the established topology optimization model of wind farm and internal wind turbines can effectively reduce the engineering investment.
| 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 |