引用本文: | 王佐勋,李亚洲,李国庆.基于遗传算法的LCL型逆变器双闭环参数设计[J].电力系统保护与控制,2018,46(22):1-7.[点击复制] |
WANG Zuoxun,LI Yazhou,LI Guoqing.Parameters optimization of double closed-loop for LCL-type inverter based on genetic algorithm[J].Power System Protection and Control,2018,46(22):1-7[点击复制] |
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摘要: |
建立了单相LCL滤波器双闭环控制系统的数学模型。应用频域法和齐格勒-尼科尔斯法对系统进行了稳定性分析,并初步整定了内外环参数。针对传统PI参数整定的不足,采用遗传算法对外环PI调节器参数进行全局寻优。利用遗传算子的选择、交叉、变异操作,逐代产生PI调节器参数优良个体。在适应度函数中加入上升时间和超调惩罚作为适应性评判的一部分。Matlab/Simulink仿真实验表明,所优化的控制器参数能有效地抑制并网电流谐波,具有较好的稳定性和动态特性。 |
关键词: LCL型逆变器 谐波抑制 PI调节器 遗传算法 |
DOI:10.7667/PSPC171694 |
投稿时间:2017-11-16修订日期:2017-12-03 |
基金项目:国家自然科学基金项目资助(61601256);国家重点研发计划项目资助(2016YFB0900903) |
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Parameters optimization of double closed-loop for LCL-type inverter based on genetic algorithm |
WANG Zuoxun,LI Yazhou,LI Guoqing |
(School of Electrical Engineering and Automation, Qilu University of Technology, Jinan 250353, China;School of Electrical Engineering, Northeast Electrical Power University, Jilin 132012, China) |
Abstract: |
The math modeling of the double-loop speed control system for the single-phase type LCL filter is established. The stability of the system is analyzed by using frequency-region method and Ziegler-Nichols method. The internal and external parameters are tuned preliminarily. Aiming at the shortages existing in the traditional PI parameters tuning method, the genetic algorithm is used to optimize PI regulator parameters. It makes use of the operators of choice, crossover and mutation in genetic algorithm to get fine PI adjustor parameters. The rise time and the over-shoot are added in the fitness function as part of the adaptive evaluation. The Matlab/Simulink simulation shows the optimization of controller parameters can suppress the grid current harmonic effectively, and the system has favorable stability and dynamic performance. This work is supported by National Natural Science Foundation of China (No. 61601256) and National Key Research and Development Program of China (No. 2016YFB0900903). |
Key words: LCL types inverter harmonic suppression PI regulator genetic algorithm |