提高农网质量的LCL型有源电力滤波器控制策略研究

Research on control strategy of LCL active power filter for improving the quality of rural power grid

因分布式能源在农网控制系统中广泛应用,谐波污染逐步加重,一系列农网电能质量问题随之出现。有源电力滤波器(Active power filter)作为一种抑制谐波的重要工具,与电流控制策略相关的研究已引起国内外学者重视。为提高有源滤波器滤波精度,提出一种基于长视野模型预测控制的LCL有源电力滤波器控制策略,解决传统模型预测算法在模型存在误差时出现跟踪误差发散现象的问题,采用拉格朗日外推法实现一步和两步超前预测,通过最小化两步预测成本函数实现两步最优。仿真结果证明,该方法可有效提高有源滤波器滤波精度,改善农网电能质量。

Due to the widespread application of distributed energy in rural power grid control systems,harmonic pollution has gradually worsened,and at the same time,it has also brought a series of power quality issues in rural power grids.As an important tool for suppressing harmonics,the research on current control strategies of active power filter has attracted widespread attention both domestically and internationally.In order to improve the filtering accuracy of active power filters,a LCL active power filter control strategy based on long horizon model predictive control was proposed.This strategy overcame the issue of tracking error divergence when model discrepancies occurred in conventional predictive algorithms,employing the lagrange extrapolation method to realize one-step and two-step ahead predictions.By minimizing the two-step predictive cost function,two-step optimality was achieved.Simulation results validated that this method could effectively elevate the filtering accuracy of the active filter,thereby ameliorating the power quality of the agricultural grid.