MétaCan
Menu
Back to cohort
Record W4414110672 · doi:10.1109/tpel.2025.3608137

Analysis and Mitigation of Inner Voltage Control’s Negative Damping Effect on Active Power Oscillations in Multi-VSG Systems

2025· article· en· W4414110672 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueIEEE Transactions on Power Electronics · 2025
Typearticle
Languageen
FieldEnergy
TopicPower Systems and Renewable Energy
Canadian institutionsUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsControl theory (sociology)TorqueEmulationSwingDamping torqueElectric power systemVoltagePower (physics)AC power

Abstract

fetched live from OpenAlex

The virtual synchronous generator (VSG), a grid-forming technology, is emerging as an effective approach to improving frequency and voltage regulation in power grids with high penetrations of inverter-based resources. In a system with multiple parallel VSGs, two types of active power oscillations can occur: one is between the multi-VSG system and the grid (<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">VSG-grid</i> oscillation); the other is among different VSGs within the system (<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">inter-VSG</i> oscillation). Existing studies have shown that these oscillations primarily result from VSGs' emulation of the swing equation. However, the impact of VSG's inner voltage control (IVC) on these oscillations remains inadequately examined. To provide physical insights into this issue, this article proposes damping torque analysis models for the <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">VSG-grid</i> and <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">inter-VSG</i> oscillations. The models reveal that the IVC introduces negative damping torques to both types of oscillations, potentially leading to oscillatory instability. To address this issue, a graphical IVC parameter design method is proposed. This method defines a satisfactory region that ensures consistently positive net damping torques for both the <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">VSG-grid</i> and <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">inter-VSG</i> oscillations, thereby effectively mitigating oscillatory instability in multi-VSG systems. Finally, real-time simulations and experiments verify the theoretical analyses and the parameter design method.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.641
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.005
GPT teacher head0.238
Teacher spread0.233 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it