基于模型预测控制的虚拟同步发电机控制策略

为了提高惯性和促进电网恢复,提出一种基于LCL型并网逆变器的虚拟同步发电机模型预测控制（MPC-VSG）策略。该方法在模型预测控制（MPC）中引入虚拟同步发电机（VSG）控制输出电流内环的参考值,使内环电流参考值可随电网电压和频率变化。基于Matlab搭建仿真模型,和MPC控制方法相对比和分析。仿真结果表明：当逆变器输出功率发生变化时,采用VSG的模型预测控制可增加电网的惯性和稳定性,改善系统暂态过程。

VIRTUAL SYNCHRONOUS GENERATOR CONTROL STRATEGY BASED ON MODEL PREDICTIVE CONTROL

In order to improve the inertia and promote the restoration of the power grid, a virtual synchronous generator model predictive control（MPC-VSG） strategy based on the LCL grid-connected inverter is proposed. This method introduces the virtual synchronous generator（VSG） into the model predictive control（MPC） to control the reference value of the output current inner loop, so that the reference value of the inner loop current can change with the grid voltage and frequency. The simulation model is established with Matlab and compared with the MPC control method. The simulation results show that as the inverter output power changes, the VSG model predictive control can increase the inertia and stability of the power grid, improve system transient process.