Design and implementation of Quasi-proportional-resonant controller of LCL filter inverter with grid current feedback active damping in weak grid to enhance stability

This paper proposes a systematic design and tuning methodology for a Quasi-Proportional-Resonant (Q-PR) controller combined with grid-current-feedback active damping (GCF-AD) for grid-connected inverters equipped with LCL filters. Unlike previous works, the proposed approach explicitly considers digital sampling delays and provides clear stability margins, ensuring robust operation even under weak grid conditions. The Q-PR controller design is examined in two scenarios: first, a single-loop grid-side current control without active damping, suitable when the filter’s resonance frequency exceeds one-sixth of the sampling frequency ( f s / 6 ). A discrete-domain stability analysis based on the Nyquist Criterion is conducted to determine the theoretical limit of the proportional gain for stable operation. In the second scenario, active damping is introduced, and a coordinated tuning procedure is developed using the Routh criterion to jointly select the Q-PR and AD parameters, ensuring adequate gain and phase margins. Experimental validation confirms that the proposed method effectively mitigates resonance, reduces total harmonic distortion (THD), and improves dynamic robustness compared to traditional approaches, demonstrating its suitability for grid-connected applications under varying grid conditions.

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Publication Details

Journal
Ain Shams Engineering Journal
Published
2025-09-04
DOI
https://doi.org/10.1016/j.asej.2025.103724
Citations
1
Primary Topic
Microgrid Control and Optimization
Type
article
Field-Weighted Citation Impact
1.21

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article

Design and implementation of Quasi-proportional-resonant controller of LCL filter inverter with grid current feedback active damping in weak grid to enhance stability

Ghassane Aniba, Youssef Lamkharbach, Ahmed Chebak
1 citations
Ain Shams Engineering Journal
Microgrid Control and Optimization
1.21
article

Design and implementation of Quasi-proportional-resonant controller of LCL filter inverter with grid current feedback active damping in weak grid to enhance stability

Ghassane Aniba, Youssef Lamkharbach, Ahmed Chebak
article en
1 citations

Abstract

This paper proposes a systematic design and tuning methodology for a Quasi-Proportional-Resonant (Q-PR) controller combined with grid-current-feedback active damping (GCF-AD) for grid-connected inverters equipped with LCL filters. Unlike previous works, the proposed approach explicitly considers digital sampling delays and provides clear stability margins, ensuring robust operation even under weak grid conditions. The Q-PR controller design is examined in two scenarios: first, a single-loop grid-side current control without active damping, suitable when the filter’s resonance frequency exceeds one-sixth of the sampling frequency ( f s / 6 ). A discrete-domain stability analysis based on the Nyquist Criterion is conducted to determine the theoretical limit of the proportional gain for stable operation. In the second scenario, active damping is introduced, and a coordinated tuning procedure is developed using the Routh criterion to jointly select the Q-PR and AD parameters, ensuring adequate gain and phase margins. Experimental validation confirms that the proposed method effectively mitigates resonance, reduces total harmonic distortion (THD), and improves dynamic robustness compared to traditional approaches, demonstrating its suitability for grid-connected applications under varying grid conditions.

Ain Shams Engineering JournalVol. 16(11)
Mohammed V University (MA), Ecole Mohammadia d'Ingénieurs (MA), Université Mohammed VI Polytechnique (MA)
Université Mohammed VI Polytechnique
Openalex Percentile: Top 17%
Microgrid Control and Optimization
1.21
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Design and implementation of Quasi-proportional-resonant controller of LCL filter inverter with grid current feedback active damping in weak grid to enhance stability — Ghassane Aniba, Youssef Lamkharbach, et al. · Ain Shams Engineering Journal (2025) | TGRS Research Map | TGRS