Improved three-phase four wire harmonic detection method

被引：0
作者：
Wang X.-Q. [1 ]
Zhao J.-W. [2 ]
Wang Q.-J. [2 ,3 ]
Li G.-L. [2 ,3 ]
Zhang M.-S. [2 ,3 ]
机构：
[1] School of Electronics and Information Engineering, Hefei
[2] National Engineering Laboratory of Energy-Saving Motor & Control Technology, Anhui University, Hefei
[3] Collaborative Innovation Center of Industrial Energy-Saving and Power Quality Control, Anhui University, Hefei
来源：
Dianji yu Kongzhi Xuebao/Electric Machines and Control | 2020年 / 24卷 / 09期
关键词：
Active power filter; Adaptive neural network method; Frequency drift; Harmonic detection; Kalman filter; Load current;
D O I：
10.15938/j.emc.2020.09.010
中图分类号：
学科分类号：
摘要：
An improved harmonic detection method was proposed to realize the synchronization and control of active power filter in three-phase four wire system. The method can extract the frequency, phase, positive and negative sequence components of grid voltage and the harmonic components of load current when there are three-phase unbalance or other disturbances in the system. The voltage model and discrete complex phasor state space equation were established of three-phase four wire system, and proposes a master-slave Kalman filter was proposed to estimate the frequency and noise covariance of system voltage, so as to quickly track the frequency and amplitude of the grid voltage in the system with measurement noise and frequency offset; meanwhile, a load harmonic detection method based on adaptive neural network was proposed, which can accurately obtain the amplitude and phase of each harmonic component in the load current in a power frequency cycle. The results show that the method is superior to the traditional Kalman filter algorithm in frequency tracking time and accuracy. Simulation and experiment prove effectiveness of the algorithm. © 2020, Harbin University of Science and Technology Publication. All right reserved.
引用
收藏
页码：84 / 94
页数：10
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