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Record W2018394947 · doi:10.1109/pes.2011.6039738

Monitoring voltage stability with real-time dynamics monitoring system (RTDMS®)

2011· article· en· W2018394947 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicPower System Optimization and Stability
Canadian institutionsnot available
FundersLawrence Berkeley National LaboratoryU.S. Department of Energy
KeywordsBlackoutVoltageSensitivity (control systems)PhasorElectric power systemComputer scienceInterconnectionVoltage regulationPower (physics)GridReal-time computingEngineeringElectronic engineeringElectrical engineeringTelecommunications

Abstract

fetched live from OpenAlex

Monitoring and maintaining voltage stability in real-time is extremely important for operating a power system reliably. Inadequate voltage support was a contributing factor in several major blackouts in North America, including the 1996 Western Interconnection and the 2003 North East US /Canada blackout. The RTDMS enables monitoring of voltage stability over a wide area using SynchroPhasor technology. The high resolution data provided by synchrophasor technology is time-synchronized and the RTDMS provides for the wide area visualization of key metrics of the electric power grid across a wide area covering multiple control areas, including visualization using synchronized phasor measurements. The RTDMS application has the capability to monitor voltage stability over a wide area in real-time, enabling operators to quickly identify the location of voltage instability, and based on this information, operators can take corrective actions to prevent voltage collapse conditions. The RTDMS tool monitors the current voltage levels as well as the voltage sensitivity or the rate of change of voltage with respect to power (PV curve sensitivity) at multiple locations and alerts the operators if the voltage deviation or the sensitivity exceeds a set threshold. Additionally, the RTDMS application displays the voltage and angle contour plots for the entire interconnection. This presentation/paper presents the voltage stability monitoring capabilities of the RTDMS tool with illustrations of some practical examples.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.788
Threshold uncertainty score0.936

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.018
GPT teacher head0.193
Teacher spread0.175 · 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

Quick stats

Citations9
Published2011
Admission routes1
Has abstractyes

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