Open AccessPWM rectifier impedance modelling and analysis
Author(s) -
Yiyuan Bie,
Yang Li,
Guoqing He,
Xing Zhang
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/675/1/012064
Subject(s) - pwm rectifier , electrical impedance , pulse width modulation , rectifier (neural networks) , precision rectifier , matlab , output impedance , control theory (sociology) , computer science , power (physics) , electronic engineering , engineering , electrical engineering , power factor , physics , voltage , control (management) , stochastic neural network , quantum mechanics , machine learning , artificial intelligence , recurrent neural network , artificial neural network , operating system
PWM rectifiers are widely used in the field of new energy power generation. The study of small signal impedance modeling of PWM rectifier is helpful to analyze the stability of new energy grid connected impedance. In this paper, the small-signal impedance model of the PWM rectifier is first established, and then the impedance model of the PWM rectifier is scanned through MATLAB using the impedance sweep method, and compared with the analytical expressions in this paper, the accuracy of the impedance model of PWM rectifier established in this paper is verified.