YANG XIAOXIAO, SU SHIPING, YU XUEWEN, et al. Kalman Parallel Power Active Filter Supplemented with Particle Swarm Optimization Algorithm. [J]. Power capacitor & reactive power compensation, 2021, 42(4): 141-146.
YANG XIAOXIAO, SU SHIPING, YU XUEWEN, et al. Kalman Parallel Power Active Filter Supplemented with Particle Swarm Optimization Algorithm. [J]. Power capacitor & reactive power compensation, 2021, 42(4): 141-146. DOI: 10.14044/j.1674-1757.pcrpc.2021.04.019.
一种辅以粒子群算法的卡尔曼并联电力有源滤波器
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。
Abstract
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
Keywords
active power filterKalmanfilter(KF)reference currentparticle swarm optimization algorithm