Open AccessLinear ADRC direct current control of grid‐connected inverter with LCL filter for both active damping and grid voltage induced current distortion suppression
Author(s) -
Wang Baochao,
Shen Zhaoyuan,
Liu Hong,
Hu Jianhui
Publication year - 2018
Publication title -
iet power electronics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.637
H-Index - 77
eISSN - 1755-4543
pISSN - 1755-4535
DOI - 10.1049/iet-pel.2017.0787
Subject(s) - control theory (sociology) , harmonics , controller (irrigation) , grid , voltage , total harmonic distortion , distortion (music) , active disturbance rejection control , bandwidth (computing) , ac power , noise (video) , engineering , computer science , electronic engineering , electrical engineering , physics , control (management) , state observer , nonlinear system , mathematics , telecommunications , amplifier , geometry , artificial intelligence , quantum mechanics , image (mathematics) , biology , agronomy
The conversion and utilisation of renewable energy generations often require grid‐connected inverters. When applying LCL filter to remove power electronic chopping harmonics, the power quality faces two issues of resonance damping and grid voltage induced current distortion. Conventionally, two separate control algorithms are required to treat the two issues, requiring an additional current sensor, increasing control complexity and limiting performance. This study demonstrates that linear active disturbance rejection control (ADRC) is able to treat both resonance damping and grid voltage induced current distortion as overall disturbance at the same time through a single structure, while achieving higher power quality for dynamic, steady‐state, small and large parameter setup, as well as parameter variations, as validated by experimental results. In principle, the ADRC can be configured with or without knowledge of the system model. This study also reveals that it is the measurement noise tolerance that makes the two configurations different in practice. By using model information in ADRC algorithm, the required bandwidth can be reduced, offering more tolerance to measurement noise. Moreover, the ADRC controller has only two parameters to tune for ‘fast’ or ‘slow’, which makes it easy for implementation.