MétaCan
Menu
Back to cohort
Record W4323343274 · doi:10.1504/ijmic.2023.10054573

Analysis and control for ultralow frequency oscillation damping caused by asynchronous networking mode

2023· article· en· W4323343274 on OpenAlexaff
Feiao Li, Renqiu Wang, Shangyu Tian, Yuanyi Kang, Hongjian Shi

Bibliographic record

VenueInternational Journal of Modelling Identification and Control · 2023
Typearticle
Languageen
FieldEngineering
TopicAdvanced Sensor and Control Systems
Canadian institutionsBritish Columbia Institute of Technology
Fundersnot available
KeywordsOscillation (cell signaling)Mode (computer interface)Asynchronous communicationAutomatic frequency controlControl (management)AcousticsPhysicsControl theory (sociology)Computer scienceTelecommunicationsBiology

Abstract

fetched live from OpenAlex

The ultralow frequency oscillation damping problem caused by asynchronous networking mode is investigated for Chongqing-Hubei asynchronous grid. The negative damping problems offered by governors are investigated. The electromechanical transient model of the voltage source converter (VSC)-high voltage direct current (HVDC) for the Chongqing-Hubei asynchronous grid is constructed. Fault modes that cause ultralow frequency oscillation after VSC-HVDC are analysed by using the Power System Analysis Software Package (PSASP), because faults in asynchronous grid often result in the ultra-low frequency oscillation damping. An additional damping controller of the VSC-HVDC and its small signal model is proposed, and the mechanism of the additional controller which increases the system damping is also analysed. The simulation results show that low frequency oscillation can be effectively suppressed by using the provided controller in this paper.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

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

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 head0.012
GPT teacher head0.249
Teacher spread0.237 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of Modelling Identification and ControlSame topicAdvanced Sensor and Control SystemsFrench-language works237,207