基于实时仿真硬件在环的光伏逆变控制器参数辨识

为准确获取光伏逆变控制器参数,在仿真中实现对光伏系统的精确建模,以便正确分析光伏并网系统的动态性能。提出了一种基于实时仿真硬件在环测试的光伏逆变控制器参数辨识方法。该方法采用基于粒子群算法的dq轴参数解耦辨识策略,通过搭建光伏逆变控制器-实时仿真硬件在环测试平台,将测得多种工况下光伏逆变器的响应数据作为实测数据。利用快速原型控制器(rapid prototyping controller, RCP)对所提出辨识策略准确性进行验证后,利用平台对实际控制器进行硬件在环实验,并依据辨识结果在Simulink中建立仿真模型与实测数据对比。结果表明:所提辨识方法正确性及有效性,可以满足电力系统暂态仿真需求。

Parameter Identification of Photovoltaic Inverter Controller Based on Real-time Simulation Hardware-in-the-loop

In order to accurately obtain the parameters of the photovoltaic inverter controller, accurate modeling of the photovoltaic system is realized in the simulation, so as to correctly analyze the dynamic performance of the photovoltaic grid-connected system. A parameter identification method of photovoltaic inverter controller based on real-time simulation hardware-in-the-loop test is proposed in the article. The dq axis parameter decoupling identification strategy based on particle swarm optimization is applied to this method. By building a photovoltaic inverter controller-real-time simulation hardware-in-the-loop test platform, the measured response data of the photovoltaic inverter under various working conditions is used as the measured data . After the accuracy of the identification strategy is verified by the rapid prototyping controller (RCP), hardware-in-the-loop experiments are performed on the actual controller using the platform, and a simulation model is established in Simulink based on the identification results to compare with the measured data.The results show that the proposed identification method can meet the requirements of correctness and effectiveness of power system transient simulation.