MétaCan
Menu
Back to cohort
Record W2001244657 · doi:10.1109/allerton.2014.7028570

Decentralized control of DC-segmented power systems

2014· article· en· W2001244657 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
TopicMicrogrid Control and Optimization
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsDecentralised systemComputer scienceElectric power systemController (irrigation)Disjoint setsControl theory (sociology)Power (physics)Power controlDistributed computingControl engineeringControl (management)EngineeringMathematics

Abstract

fetched live from OpenAlex

Direct current (DC) transmission is highly regarded for its ability to dynamically decouple AC power systems by segmenting them into disjoint networks. Such configurations lead to more efficient power transfers and better oscillation damping, but necessitate controllers with seemingly heavy communication requirements that rely on wide-area measurement systems. This paper shows that DC-segmented power systems are poset-causal, making them amenable to powerful decentralized control techniques that can substantially reduce their communication needs. Specifically, optimal decentralized control is attainable with communication only between AC subsystems that are directly connected by a DC line. The approach explicitly leverages the implied graph structure of power systems with AC and DC lines. Numerical results demonstrate that the decentralized controller achieves nearly the same performance as the optimal centralized controller.

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 score0.990
Threshold uncertainty score0.239

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 head0.002
GPT teacher head0.157
Teacher spread0.155 · 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

Citations17
Published2014
Admission routes1
Has abstractyes

Explore more

Same topicMicrogrid Control and OptimizationFrench-language works237,207