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Record W3120999220 · doi:10.1109/td39804.2020.9299898

Use of PMU-Based Software Platform to Provide Real-Time Situational Awareness for Bronzeville Community Microgrid

2020· article· en· W3120999220 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

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicPower System Optimization and Stability
Canadian institutionsAlterra Power (Canada)
Fundersnot available
KeywordsObservabilitySituation awarenessMicrogridPhasorPhasor measurement unitReal-time computingComputer scienceSoftwareSituational ethicsReal Time Digital SimulatorIEC 61850State (computer science)Control engineeringEngineeringElectric power systemPower (physics)Artificial intelligenceOperating systemControl (management)

Abstract

fetched live from OpenAlex

This paper describes the demonstration of synchrophasor-based application for real-time monitoring, analysis, and situational awareness of ComEd Bronzeville Community Microgrid (BCM). A real-time situational awareness platform described in this paper utilizes Phasor Measurement Units (PMU) for distribution three phase linear state estimation, including observability analysis, bad data detection, optimal PMU placement, and topology change detection. Demonstration of the PMU-based platform was performed in ComEd's real-time digital simulation (RTDS) environment.

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: Empirical · Consensus signal: none
Teacher disagreement score0.758
Threshold uncertainty score0.492

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 head0.069
GPT teacher head0.257
Teacher spread0.187 · 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

Citations10
Published2020
Admission routes1
Has abstractyes

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