采用模型预测控制的APF谐波电流补偿的研究

Research on Harmonic Current Compensation of APF Based on Model Predictive Control

由于有源电力滤波器(APF)传统的电流补偿方式存在谐波电流跟踪控制精度低、实时性差等问题,给出了一种基于模型预测控制(MPC)的优化闭环控制算法,根据过程的历史信息预测将来的输出建立模型,依据预测控制的预测模型、反馈校正和滚动优化等环节实现对APF谐波电流的预测控制。搭建10 kVA并联型APF的实验样机并结合Matlab仿真实验对谐波补偿进行了研究。实验结果表明,采用MPC的谐波电流控制方法能有效降低电流畸变率,抑制谐波电流,谐波电流分量较补偿前降低10倍左右,电流总谐波畸变率(THD)从原来的29%降低到3%,从而验证了MPC算法具有较高的电流跟踪控制精度。

Since the problems of harmonic current tracking control of low precision and poor real-time performance of active power fiher（APF） traditional current compensation methods, an optimization model predictive control with closed- loop control algorithm is presented, based on historical information prediction process future output model, according to the prediction model predictive control,feedback correction and roiling optimization and other sectors to achieve APF harmonic current predictive control.Set up 10 kVA shunt active APF and combine Matlab simulation experiment to study the harmonic compensation, the experimental results show that the MPC harmonic current control method can ef- fectively reduce the current distortion and suppress harmonic current, and the harmonic current component is about 10 times lower than that of compensation, the current total harmonic distortion （THD） from the original 29% to 3%, which proves the model predictive control algorithm with high current tracking control accuracy.