DocumentCode
78105
Title
Adaptive Control of Grid-Connected Inverters Based on Online Grid Impedance Measurements
Author
Cespedes, Mauricio ; Jian Sun
Author_Institution
Dept. of Electr., Comput., & Syst. Eng., Rensselaer Polytech. Inst., Troy, NY, USA
Volume
5
Issue
2
fYear
2014
fDate
Apr-14
Firstpage
516
Lastpage
523
Abstract
Stability of a grid-connected inverter depends on the ratio of the grid impedance to the inverter impedance. Since the grid impedance changes during normal power system conditions, this paper proposes a gain-scheduling adaptive control system that uses online grid impedance measurements. For grid impedance measurement, an impulse-response analysis method is programmed in the digital-signal processor (DSP) of the grid-connected inverter. For adaptation, a Routh-Hurwitz stability analysis approach is used to derive, analytically, the stable operation boundaries of the interconnected system. To simplify the analytical derivations, the grid impedance is assumed inductive at low frequencies and curve fitted to the online impedance measurements. Experimental measurements demonstrate the improvement in system stability, when the impedance identification and adaptive control algorithms are programmed together in the DSP of a three-phase inverter, which is connected to a grid with a variable feeder impedance.
Keywords
AC-DC power convertors; adaptive control; electric impedance measurement; invertors; transient response; Routh Hurwitz stability analysis; gain scheduling adaptive control system; grid connected inverters; impedance identification; impulse response analysis method; inverter impedance; online grid impedance measurements; system stability; three phase inverter; variable feeder impedance; Bandwidth; Impedance; Inductance; Inverters; Phase locked loops; Power system stability; Stability analysis; Ac–dc power converters; adaptive systems;
fLanguage
English
Journal_Title
Sustainable Energy, IEEE Transactions on
Publisher
ieee
ISSN
1949-3029
Type
jour
DOI
10.1109/TSTE.2013.2295201
Filename
6725681
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