基于局部排序蚁群优化的光伏并网过程控制

Photovoltaic Grid-connected Process Control Based on Local Sorting Ant Colony Optimization

为了提高光伏并网过程的控制精度,提出了一种基于局部排序蚁群优化的光伏并网过程控制方法。首先,采用空间矢量方法对光伏并网过程中的逆变器模型和扰动模型进行构建,有效地解决了扰动存在情形下的普通反推控制存在的控制噪声现象;其次,引入蚁群算法对光伏并网过程中的反推控制进行补偿优化,实现最优化控制的同时实现了对控制结构的简化;同时,针对所设计的控制系统结构,采用李雅普诺夫方法对其稳定性进行分析,获得使系统镇定的控制律;最后,在搭建的光伏并网硬件平台上进行仿真实验,实验结果显示所提方法具有更加优异的控制精度和效果,且算法的稳定性更强。

In order to improve the control accuracy of photovoltaic grid-connected process,a method of photovoltaic grid-connected process control based on local sorting ant colony optimization is proposed.Firstly,the space vector method is used to construct the inverter model and disturbance model in the photovoltaic grid-connected process,which can effectively solve the control noise phenomenon of ordinary backstepping control in the presence of disturbance.Secondly,the ant colony algorithm is introduced to compensate and optimize the backstepping control in the photovoltaic grid-connected process,which can realize the optimization control and simplify the control structure.According to the designed control system structure,Lyapunov method is used to analyze its stability and obtain the control law which can realize the system stabilization.Finally,the simulation experiment is carried out on the built photovoltaic grid-connected hardware platform.The experimental results show that the proposed method has better control accuracy and effect,and the algorithm is more stable.