动态电压恢复器的模型预测控制

为了提高动态电压恢复器的响应速度和稳态精度，提出了基于模型预测控制的控制策略，详细分析了控制器参数设计方法。在分析动态电压恢复器主电路模型的基础上，采用内环电流控制器对模型进行改进，得出模型预测控制所需的被控对象一步预测模型，设计了模型预测控制器。所提控制算法克服了基于非参数预测模型的模型预测控制由于算法复杂、参数调整困难，计算量大，很难直接应用到电力系统这样的快速实时系统中的问题，同时实现了预测控制滚动优化、反馈校正的优点。在满意的稳定精度下，明显提高了系统的动态响应速度。与经典控制策略的实验对比分析，

Model predictive control of dynamic voltage restorer

In order to improve the dynamic response speed and steady accuracy of the dynamic voltage restorer, this paper proposes control strategies based on model predictive control (MPC) and analyzes design methods of controller parameters in detail. On the basis of analysis of the main circuit model for dynamic voltage restorer, the model is improved by the inner current controller and the one-step prediction model of controlled object needed by MPC is acquired, and then a model predictive controller is designed. The proposed control algorithm overcomes the difficulty that traditional model predictive control algorithm based on non-parametric prediction mode is difficult to be directly applied to power systems such as rapid real-time system due to complexity of the algorithm, difficulties of parameter adjustment and amount of computation. It has the merits of feedback correction and dynamic optimization of MPC. Under satisfactory steady accuracy conditions, the proposed strategy improves dynamic response speed significantly. The feasibility of the proposed controller is verified through experimental analysis compared with classic control strategy.