Virtual Impedance-Based Feedforward VDCM Control for Stability Enhancement in Shipboard DC Microgrids

Shipboard DC microgrids face critical stability challenges including low-inertia-induced voltage fluctuations and impedance mismatch caused by constant power loads (CPLs), which severely threaten system stability. Existing virtual DC machine (VDCM) control methods typically treat inertia support and impedance optimization as separate design objectives, lacking a unified frequency-domain design framework. To address this issue, this paper first establishes an accurate virtual impedance model for the standard VDCM controller, quantitatively revealing how its control parameters (J and D) shape the frequency-domain impedance characteristics and identifying potential stability conflicts. Building upon this model, a feedforward-compensated VDCM (FFC-VDCM) strategy is proposed, introducing a differential feedforward loop to actively reshape the converter output impedance in the critical mid-frequency range without interfering with the inertia support function. The impedance reshaping effect is quantified via impedance-based stability analysis; the proposed method improves the gain margin from 4.1 dB (with conventional VDCM) to 8.6 dB, along with a significant enhancement in the phase margin, confirming improved system robustness. Hardware-in-the-loop (HIL) experiments conducted under realistic shipboard conditions further confirm the theoretical analysis, demonstrating superior transient voltage regulation and validating the practical effectiveness of the proposed strategy. The FFC-VDCM provides a synergistic solution for concurrently improving inertia and stability in low-inertia DC microgrids.

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Publication Details

Journal
Journal of Marine Science and Engineering
Published
2026-06-30
DOI
https://doi.org/10.3390/jmse14131212
Primary Topic
Microgrid Control and Optimization
Type
article
Field-Weighted Citation Impact
0.00

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article

Virtual Impedance-Based Feedforward VDCM Control for Stability Enhancement in Shipboard DC Microgrids

Weiqiang Liao, Wangneng Yu, Weiwei Li, Rongfeng Yang et al.
Journal of Marine Science and Engineering
Microgrid Control and Optimization
article

Virtual Impedance-Based Feedforward VDCM Control for Stability Enhancement in Shipboard DC Microgrids

Weiqiang Liao, Wangneng Yu, Weiwei Li, Rongfeng Yang, Jiebin He, Runbin Wang
article en

Abstract

Shipboard DC microgrids face critical stability challenges including low-inertia-induced voltage fluctuations and impedance mismatch caused by constant power loads (CPLs), which severely threaten system stability. Existing virtual DC machine (VDCM) control methods typically treat inertia support and impedance optimization as separate design objectives, lacking a unified frequency-domain design framework. To address this issue, this paper first establishes an accurate virtual impedance model for the standard VDCM controller, quantitatively revealing how its control parameters (J and D) shape the frequency-domain impedance characteristics and identifying potential stability conflicts. Building upon this model, a feedforward-compensated VDCM (FFC-VDCM) strategy is proposed, introducing a differential feedforward loop to actively reshape the converter output impedance in the critical mid-frequency range without interfering with the inertia support function. The impedance reshaping effect is quantified via impedance-based stability analysis; the proposed method improves the gain margin from 4.1 dB (with conventional VDCM) to 8.6 dB, along with a significant enhancement in the phase margin, confirming improved system robustness. Hardware-in-the-loop (HIL) experiments conducted under realistic shipboard conditions further confirm the theoretical analysis, demonstrating superior transient voltage regulation and validating the practical effectiveness of the proposed strategy. The FFC-VDCM provides a synergistic solution for concurrently improving inertia and stability in low-inertia DC microgrids.

Journal of Marine Science and EngineeringVol. 14(13)
Harbin Engineering University (CN), Jimei University (CN), Huizhou University (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 9%
Microgrid Control and Optimization
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