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The fluctuation of renewable energy unit output and the unreasonable grid connection position lead to voltage fluctuations, power deviation, and increased investment costs in the coupled system. A discrete particle swarm optimization method for multi photovoltaic power supply access site selection is proposed to meet the optimization and regulation requirements of wind solar thermal coupling system. Analyzed the reactive power compensation characteristics of photovoltaic power sources and the impact of their connection positions on system voltage deviation and grid losses, established a power generation system model that couples renewable energy and thermal power, and used photovoltaic power sources as reactive power regulation devices for the coupled system. Taking the comprehensive optimization of voltage deviation and line loss as the objective function, the discrete particle swarm optimization algorithm is used to solve the photovoltaic power supply access point. The analysis results of the example show that the multi photovoltaic power station access point optimization method ensures the voltage deviation of each node, reduces line loss, and improves the safety and stability of the wind solar thermal coupling system.
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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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