Open AccessHigh-performance active power filter implementation based on predictive current control
Author(s) -
Bachar Rahima,
A. Goléa,
Benchouia Mohamed Toufik,
Mohamed Chebaani
Publication year - 2019
Publication title -
international journal of power electronics and drive systems (ijpeds)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.322
H-Index - 21
ISSN - 2088-8694
DOI - 10.11591/ijpeds.v10.i1.pp277-287
Subject(s) - dspace , model predictive control , computer science , control theory (sociology) , controller (irrigation) , ac power , compensation (psychology) , harmonic , power (physics) , filter (signal processing) , active power filter , active filter , function (biology) , control engineering , control (management) , engineering , voltage , algorithm , artificial intelligence , psychology , physics , electrical engineering , quantum mechanics , evolutionary biology , psychoanalysis , agronomy , computer vision , biology
This paper presents the use of the predictive strategy concept to improve the Active Power Filter (APF) performance, by compensation of the reactive power and elimination of the harmonic currents generated by non-linear loads. Predictive control is generating considerable interest when it comes to implementing current control strategies in active power filter. The proposed strategy provides a simple controller incorporating Phase Locked Loop (PLL) independency. The prediction is evaluated using a cost function that quanties the desired system behavior. The cost function used in this work evaluates the ltered error of the currents. This strategy minimized the number of sensors, ease of practical implementation and reduced system size and cost. The effectiveness of the proposed controller is confirmed through simulation and experimental validation using a hardware prototype based on dSPACE-1104