Open AccessSimulation and experimental validation of single-phase series active power filter using PI and backstepping nonlinear controllers
Author(s) -
Abdallah Ben Abdelkader,
Othmane Abdelkhalek,
Mohammed Amine Soumeur,
Hafsi Oussama,
Abdeselem Chakar
Publication year - 2020
Publication title -
international journal of applied power engineering
Language(s) - English
Resource type - Journals
eISSN - 2722-2624
pISSN - 2252-8792
DOI - 10.11591/ijape.v9.i1.pp78-88
Subject(s) - backstepping , control theory (sociology) , harmonics , total harmonic distortion , voltage sag , controller (irrigation) , nonlinear system , pid controller , voltage , power (physics) , control engineering , computer science , engineering , adaptive control , control (management) , power quality , physics , temperature control , agronomy , quantum mechanics , artificial intelligence , biology , electrical engineering
Nowadays, power distribution networks are focus mainly on power quality issues. Among the power disturbances, sag, swell and voltage harmonics are studied and deliberated in this research paper. These problems have negative impacts especially on the sensitive load, which have to be protected and secured against these problems. Therefore, to solve such disturbances, the series active power filter (SAPF) can be an efficient solution, which is used to compensate the voltage difference and to reduce the problem’s effects on the power system. In this paper, the SAPF is simulated and experimentally validated, where two control methods are used to control the applied disturbances; which are classical proportional integral PI and nonlinear backstepping controllers. The control structure of the SAPF aims to reduce the error of the injection voltage closed loop, in addition to reduce the total harmonic distortion (THD) values below 5% and within the specified ranges of the international IEEE-519 standard. From simulation results, the backstepping nonlinear controller has reacted more robustly and efficiently than the conventional PI controller.