Open AccessResearch on Finite Control Set Model Predictive Control Strategy of Three-level APF
Author(s) -
Huaizhong Shi,
Xue Gong,
Gong Pu,
Juan Juan Zhang
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 - 10.1088/1742-6596/1748/3/032001
Subject(s) - model predictive control , control theory (sociology) , compensation (psychology) , harmonics , control (management) , harmonic , ac power , set (abstract data type) , computer science , grid , active power filter , power (physics) , engineering , mathematics , voltage , artificial intelligence , psychology , physics , geometry , quantum mechanics , psychoanalysis , electrical engineering , programming language
Active power filters (APF) can compensate for harmonics and reactive power. The traditional APF PI control has difficulty in parameter setting, and has the characteristics of control lag, and the control accuracy of current is low. The control of three-level APF needs to consider multiple objectives. Finite Control Set Model Predictive Control (FCS-MPC) is a newly proposed method that can increase constraints and multi-objective control. According to the limited switching state, it tracks the reference current and has dynamic Fast response and good compensation results. In this paper, the finite set model predictive control algorithm of three-level APF is studied, and the results show that the harmonic content of the power grid is low, which meets the relevant requirements.