Dual-Sequence Multi-Objective Hierarchical Control for Virtual Synchronous Generators Considering Current Constraints Under Asymmetric Voltage Sags

Asymmetric grid voltage sags induce double-frequency power oscillations and three-phase current imbalance in virtual synchronous generators (VSGs). Though conventional multi-objective optimization via active negative-sequence current injection can achieve current imbalance mitigation and power fluctuation suppression, it often compromises positive-sequence current control performance, making it difficult to ensure converter fault ride-through (FRT). To address this, this paper analyzes the positive- and negative-sequence control coupling mechanism and proposes a dual-sequence multi-objective hierarchical control strategy that prioritizes grid voltage support, active-power retention, output current balance, and power fluctuation suppression under asymmetric voltage sags. Firstly, the positive-sequence current reference is generated to maximize active-power output and grid voltage support with consideration of current constraints. Subsequently, based on the remaining current capacity, a feasible region for the optimization algorithm is established to perform negative-sequence current multi-objective optimization, thereby achieving decoupled hierarchical control of positive- and negative-sequence components. Simulation and hardware-in-the-loop (HIL) experimental results demonstrate that this proposed strategy effectively mitigates control coupling between positive and negative sequences. It simultaneously ensures grid reactive-power support, maintains active-power output, and optimizes negative-sequence current while strictly adhering to current constraints.

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Publication Details

Journal
Electronics
Published
2026-09-28
DOI
https://doi.org/10.3390/electronics15194459
Primary Topic
Microgrid Control and Optimization
Type
article
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article

Dual-Sequence Multi-Objective Hierarchical Control for Virtual Synchronous Generators Considering Current Constraints Under Asymmetric Voltage Sags

舒景明, Qingqing Yuan, Wei Pan, Jiaye Zhang et al.
Electronics
Microgrid Control and Optimization
article

Dual-Sequence Multi-Objective Hierarchical Control for Virtual Synchronous Generators Considering Current Constraints Under Asymmetric Voltage Sags

舒景明, Qingqing Yuan, Wei Pan, Jiaye Zhang, Shuxin Zhou
article en

Abstract

Asymmetric grid voltage sags induce double-frequency power oscillations and three-phase current imbalance in virtual synchronous generators (VSGs). Though conventional multi-objective optimization via active negative-sequence current injection can achieve current imbalance mitigation and power fluctuation suppression, it often compromises positive-sequence current control performance, making it difficult to ensure converter fault ride-through (FRT). To address this, this paper analyzes the positive- and negative-sequence control coupling mechanism and proposes a dual-sequence multi-objective hierarchical control strategy that prioritizes grid voltage support, active-power retention, output current balance, and power fluctuation suppression under asymmetric voltage sags. Firstly, the positive-sequence current reference is generated to maximize active-power output and grid voltage support with consideration of current constraints. Subsequently, based on the remaining current capacity, a feasible region for the optimization algorithm is established to perform negative-sequence current multi-objective optimization, thereby achieving decoupled hierarchical control of positive- and negative-sequence components. Simulation and hardware-in-the-loop (HIL) experimental results demonstrate that this proposed strategy effectively mitigates control coupling between positive and negative sequences. It simultaneously ensures grid reactive-power support, maintains active-power output, and optimizes negative-sequence current while strictly adhering to current constraints.

ElectronicsVol. 15(19)
University of Shanghai for Science and Technology (CN)
Openalex Percentile: Top 16%
Microgrid Control and Optimization
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