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Aiming at the characteristics of interconnection and multi-source in modern power systems, a heuristic intelligent optimization algorithm is proposed to assist multi-area interconnected power systems with wind, solar, water, thermal storage to optimize load frequency control. This method takes the area control error of each region as the objective function, and uses the advantages of whale intelligent optimization algorithm, such as strong robustness, high solution accuracy and fast convergence speed to jointly optimize the parameters of the PID load frequency controller in each region, so that the system can maintain frequency stability and long-term safe operation under various random disturbances. Finally, a three-area interconnected power system model with wind, solar, water and thermal storage is established to compare the frequency and tie line power deviation of the interconnected power system in different optimization tuning methods, and test the stability of the system in different regions under different disturbances and the effectiveness of the proposed method. The experimental results show that the coordinated optimization tuning method of the multi-area interconnected load frequency controller adopted in this paper effectively improves the stability of the system, and has good robustness and practicality.
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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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