一种辅以粒子群算法的卡尔曼并联电力有源滤波器  

Kalman Parallel Power Active Filter Supplemented with Particle Swarm Optimization Algorithm

作　　者：阳潇枭 粟时平[1] 余学文 王红标 胡亚杰 刘志豪 欧阳振宇 YANG Xiaoxiao;SU Shiping;YU Xuewen;WANG Hongbiao;HU Yajie;LIU Zhihao;OUYANG Zhenyu(School of Electrical Engineering,Changsha University of Science and Technology,Changsha 410004,China)

机构地区：[1]长沙理工大学电气与信息工程学院,长沙410004

出　　处：《电力电容器与无功补偿》2021年第4期141-146,共6页Power Capacitor & Reactive Power Compensation

摘　　要：配电系统网络中非线性负载使用的增加,要求提高配电侧的电能质量。为此,提出了一种基于卡尔曼滤波器(KF)的比例积分(PI)电流控制策略,用于控制并联型有源电力滤波器(SAPF)。为了实现KF性能的准确性,采用粒子群优化(PSO)算法调整参数,KF快速且自适应地估算电源参考电流。为了验证控制器的性能,在电源不平衡且负载变化的条件下进行了测试。另外,本文在基于DSP28335的实验平台上做了实验,验证了该方法的优越性。The increase of the use of non-linear loads in the distribution system network requires improving the power quality on the distribution side.To this end,a kind of proportional-integral(PI)current control strategy based on Kalman filter(KF)is proposed to control the parallel active power filter(SAPF).In order to achieve the accuracy of KF performance,the particle swarm optimization(PSO)algorithm is used to adjust the parameters and the power supply reference current is estimated quickly and adaptively by the KF.For verifying the performance of the controller,the test is conducted under the conditions of unbalanced power supply and varying load.In addition,the experiment is performed on the experimental platform based on DSP28335 and the superiority of the method is verified.

关 键 词：有源电力滤波器 卡尔曼滤波器(KF) 参考电流 粒子群算法 

分 类 号：TM761[电气工程—电力系统及自动化] TN713[电子电信—电路与系统] TP18[自动化与计算机技术—控制理论与控制工程]