基于SVM逆模型控制的储能电源逆变器研究

电网供电系统的储能电源变换器是储能电源系统的核心,其控制效果的好坏直接影响输出电能的质量.为进一步提高储能电源逆变输出电压波形质量,增强控制系统的鲁棒性,基于逆系统控制思想,提出一种支持向量机(SVM)直接逆控制与PID控制相结合的复合控制策略,并将其应用在储能电源控制系统中.采用支持向量机离线训练的方法,实现了对系统逆模型的辨识,并将辨识出的逆模型作为控制器,与被控对象串联构成一个伪线性系统,在此基础上,采用增量式PID控制器(IPIDC)进行补偿式控制.Matlab仿真结果表明该控制器有效减少了超调量,抗干扰能力和鲁棒性强,适用于非线性系统.

Control Strategy for Battery Energy Storage System Inverter Based on Inverse Mode Control

Energy storage power converter is the core of the power grid energy storage power systems,which has a direct impact on the quality of the output-voltage.Energy storage power converter is a complex time-varying nonlinear systems,in order to improve the output-voltage performance of the inverter and robustness of battery energy storage system.Based on the thought of inverse system control,a composite strategy is proposed,in which direct inverse control based on support vector machine (SVM) is combined with PID control,and is applied to the inverter power control system.The inverse model is identified by an offline training method,lately working as a controller and connected with the plant in series,which forms a pseudo linear system.An incremental PID controller is applied to do as a compensatory control.The simulation result shows that the controller reduces the overshoot effectively,the quality of anti-interference and robust is enhanced,and it also can be applied on nonlinear systems.