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Record W2781480409 · doi:10.1109/tii.2018.2789448

A Storage-Based Multiagent Regulation Framework for Smart Grid Resilience

2018· article· en· W2781480409 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.

Bibliographic record

VenueIEEE Transactions on Industrial Informatics · 2018
Typearticle
Languageen
FieldEngineering
TopicPower System Optimization and Stability
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsElectric power systemSmart gridTransient (computer programming)Resilience (materials science)Energy storageComputer scienceProcess (computing)Distributed generationControl engineeringGovernorStability (learning theory)EngineeringPower (physics)Renewable energyElectrical engineering

Abstract

fetched live from OpenAlex

A novel framework for the distributed control is proposed in this paper for transient stability of smart power transmission systems in the face of disturbances. The proposed framework seamlessly integrates the traditional governor-based power control with energy storage system (ESS)-based controls. The design objectives also address practical challenges unaccounted for in former work, including limited ESS capacity and availability, and absent, delayed, or corrupt sensor measurements. The IEEE 68-bus test power system is used to demonstrate the merits of the control strategy in enhancing the transient stability of power systems. The results of this paper suggest that integrating different types of control can lead to an enhanced transient stabilization process in the face of different practical limitations.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.959
Threshold uncertainty score0.682

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 head0.043
GPT teacher head0.263
Teacher spread0.220 · 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