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Record W2110528197 · doi:10.1109/pes.2007.385517

Dispatchable Distributed Generation Network - A New Concept to Advance DG Technologies

2007· article· en· W2110528197 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 Power Engineering Society General Meeting · 2007
Typearticle
Languageen
FieldEngineering
TopicMicrogrid Control and Optimization
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsDispatchable generationComputer scienceDistributed computingDistributed generationEngineeringElectrical engineeringRenewable energy

Abstract

fetched live from OpenAlex

Renewable energy has been booming globally thanks to its economic, social, and environmental benefits. However, small distributed generation (DG) systems using renewable energy have not yet achieved a significant level of penetration. With deregulation of electricity market, policies have been available to facilitate interconnection of small distributed generators (DGs) with electric grids. However, dispatchability and reliability still present technical barriers for small DGs to play a significant role in the open market, thus limiting their ability to provide value-added services. This paper presents a new concept to enhance the dispatchability of DGs through an aggregated DG network. Dispersed DGs with different energy resources, such as wind turbines, photovoltaics, small hydros, fuel cells, and microturbines, are integrated into a single aggregated generating plant via open power transmission networks. Traditional SCADA dedicated optical fibers, copper and other dedicated wireless physical layers can be replaced by Internet access and low-cost point-to-point wireless communication links to reduce infrastructure costs. The aggregated power generation is balanced between firm DGs and intermittent DGs to allow for the required dispatchability. Day-ahead and hourly generation scheduling can be committed in wholesale electricity trading, thereby achieving the desired added economic benefits. This is usually more favorable than being credited at the avoided cost as seen by utilities with traditional individual DGs.

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 categoriesMeta-epidemiology (narrow)
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 score0.666
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
Bibliometrics0.0000.001
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 head0.004
GPT teacher head0.194
Teacher spread0.190 · 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