On-Line PID Parameters Optimization Control for Wind Power Generation System Based on Genetic Algorithm

被引：19
|
作者：
Li, Jiasheng [1 ]
Li, Wenguo [1 ,2 ]
机构：
[1] Hunan City Univ, Coll Informat & Elect Engn, Yiyang 413000, Peoples R China
[2] Hunan Univ, Coll Elect & Informat Engn, Changsha 410082, Hunan, Peoples R China
来源：
IEEE ACCESS | 2020年 / 8卷
关键词：
Wind power generation; Genetic algorithms; PI control; PD control; Optimization; Biological cells; Mathematical model; Anti-saturation; genetic algorithm; online optimizing; PID parameters;
D O I：
10.1109/ACCESS.2020.3009240
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
An on-line PID parameter optimization control for the wind power generation system based on a genetic algorithm is proposed in this paper. Firstly, the anti-saturation PID control strategy is involved with considering the instability and complexity of the wind power source. Further, a genetic algorithm is introduced for an on-line optimization of the PID parameters. The simulation studies are carried out on a control model of wind power, using MATLAB simulation system. It is demonstrated that the proposed control strategy can not only solve the integral saturation, but also suppress the harmonics in the output waveform and enhance the power factor of system.
引用
收藏
页码：137094 / 137100
页数：7
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