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In order to solve the micrositing problem of wind farms under complex terrain, an optimization strategy based on improved discrete state transfer algorithm (RCDSTA) is proposed. Firstly, in order to solve the influence of ground flatness on fan placement, the terrain ruggedness index (TRI) is introduced to quantify the ground flatness numerically, and the points with excessive ruggedness are constrained. Secondly, a wind turbine layout optimization method based on discrete state transition algorithm (DSTA) is proposed to calculate power generation by multiwind downward threedimensional wake superposition, and the DSTA algorithm is improved to reduce the calculation time of fitness value, so as to shorten the calculation time of complex calculation optimization problems and improve the calculation efficiency. Finally, taking a wind farm with complex terrain in Xinjiang, China as an example, the algorithm is compared with the microscopic site selection results of genetic algorithm (GA) and engineering design under the background of the same terrain conditions and objective function. The simulation results show that the discrete state transition algorithm is more effective than the above two methods in providing a reasonable fan layout scheme considering the characteristics of terrain factors.
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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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