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Record W2082810296 · doi:10.1109/pesgm.2014.6939092

High-fidelity, faster than real-time dynamics simulation

2014· article· en· W2082810296 on OpenAlex
Alexander Flueck

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
TopicReal-time simulation and control systems
Canadian institutionsnot available
Fundersnot available
KeywordsComputer scienceGridSimulationReal-time simulationReliability (semiconductor)Systems engineeringEngineeringPower (physics)

Abstract

fetched live from OpenAlex

Summary form only given. With support from the Department of Energy, Illinois Institute of Technology is leading a team to develop a high fidelity "faster than real-time" dynamics simulator capable of predicting complex, large-scale power system behavior based on (eventually) real-time measurements. The team is leveraging several mathematics and computational advances (e.g., PETSc linear solvers, nonlinear solvers, time-stepping algorithms, memory management and multi-core processors) to improve the speed of dynamics simulations. In addition, the team is leveraging recent modeling and simulation advances (e.g., new three-phase unbalanced network models, single-phase induction motor models, protection system models) to improve the fidelity of the dynamics simulations. The goal is to aid operators in their true time of need, when there is a significant risk of cascading outages. The project will accelerate performance and enhance accuracy of dynamics simulations, enabling operators to maintain reliability and steer clear of blackouts. In the long-term, the proposed simulator will form the backbone of the newly conceived hybrid real-time protection and control architecture that will coordinate local controls, wide-area measurements, wide-area controls and advanced real-time prediction capabilities. The team members (and roles) are as follows: Illinois Institute of Technology (modeling, algorithm development, dynamics simulator development, verification and validation), Argonne National Laboratory's Mathematics and Computer Science Division (algorithm development), Electrocon, the developer of CAPE, a protection system modeling and simulation tool (protection engine development, independent verification & validation), Alstom Grid, a control center Energy Management System vendor (independent verification & validation), Commonwealth Edison, a large metropolitan utility (independent verification & validation), McCoy Energy (facilitate utility advisory group) and AltaLink, a large Canadian transmission system operator (independent verification & validation). This material is based upon work supported by the Department of Energy under Award Number DE-OE0000624. The views and opinions of authors expressed herein do not necessarily state or reflect those of the United States Government or any agency thereof.

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 categoriesInsufficient payload (model declined to judge)
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 score0.638
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0000.001

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 head0.006
GPT teacher head0.213
Teacher spread0.207 · 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

Citations8
Published2014
Admission routes1
Has abstractyes

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