Open AccessHarmonic compensation of APF based on unconstrained CCS-MPC
Author(s) -
Ningning Meng,
Jian Feng Yang,
Yang Liu,
Rende Qi
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1748/2/022032
Subject(s) - control theory (sociology) , harmonics , robustness (evolution) , feed forward , active power filter , harmonic , computation , computer science , ac power , time domain , power (physics) , engineering , control engineering , voltage , algorithm , physics , biochemistry , chemistry , control (management) , quantum mechanics , artificial intelligence , electrical engineering , gene , computer vision
Active power filter (APF) is a device that can suppress harmonics and compensate reactive power. In order to improve the ability of three-phase active power filter (APF) to track and compensate harmonics in real time, an unconstrained CCS-MPC method based on state space model is proposed. Compared with variable constraint, it has faster response speed and less computation. Firstly, the time domain model of APF is established, and the discrete space state model is changed. The system state and output prediction equations are established iteratively to solve the objective function. The closed-loop solution of APF following harmonic is solved by using the open-loop objective function to achieve the purpose of feedforward and feedback. Finally, the simulation model is established, and the results show that the method has better dynamic response, steady-state characteristics and robustness.