NPC结构型SVG的模型预测电流控制策略
A model predictive current control strategy for NPC structured SVG
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摘要: 针对中点钳位型(neutral point clamped,NPC)的静止无功发生器(static var generator,SVG),提出了一种模型预测电流控制策略。由于SVG的预测模型实际上是一种开环模型,故其交流侧实际输出电流与指令电流存在电流跟踪误差,在平衡计算量与跟踪精度的前提下,设计了电流跟踪精度误差的评估函数,对预测电流进行了反馈校正,构成了闭环优化。利用预测算法可多步预测的优势,对系统中因采样、计算和控制造成的延时问题,提出一种两步预测法,对控制延时进行了改善,提升了SVG的补偿性能。在MATLAB/SIMULINK仿真环境中搭建了仿真模型,仿真结果验证了所提策略的有效性。Abstract: A model predictive current control strategy is proposed for neutral point clamped(NPC) static var generator(SVG).Since the prediction model of SVG is an open loop model,there is current tracking error between the actual output current and the instruction current on the AC side.Under the premise of balancing the calculation amount and the tracking accuracy,the evaluation function of current tracking accuracy error is designed,and the feedback correction of the predicted current is carried out to fulfill a closed-loop optimization.Taking advantage of the multi-step prediction of the prediction algorithm,the paper proposes a two-step prediction method to compensate the delay caused by sampling,calculation and control in the system,which improves the compensation performance of SVG.A simulation model is built in Matlab/Simulink for verification,and the simulation results show the effectiveness of the proposed strategy.