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Dynamic Security Constrained Pool Dispatch in Competitive Electricity Market

2005· article· en· W2010285714 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.

venuePublished in a venue whose home country is Canada.
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

VenueInternational Journal of Power and Energy Systems · 2005
Typearticle
Languageen
FieldEngineering
TopicOptimal Power Flow Distribution
Canadian institutionsnot available
Fundersnot available
KeywordsEconomic dispatchElectricity marketMargin (machine learning)Electric power systemMarket clearingTransient (computer programming)ElectricityCompetition (biology)Point (geometry)ClearingComputer scienceFault (geology)Function (biology)EconomicsPower (physics)MicroeconomicsEngineeringFinanceMathematics

Abstract

fetched live from OpenAlex

This article studies the impact of incorporating dynamic security considerations on dispatch in the operation of a power pool in an open-market environment. Making a system dynamically secure may require the re-dispatch of generators in an unbundled system and have an effect on pool prices and on commercial competition between generators. Achieving a commercially transparent and technically justifiable approach, therefore, is very important. The authors use a transient energy function approach to calculate the stability margin of the system after clearing a typical fault. A hybrid method is applied to calculate the approximate unstable equilibrium point that is used to locate the exact unstable equilibrium point that is required for establishing an energy margin. Re-dispatch is undertaken if this margin is inadequate. The apportionment of dispatch changes among generators is made sensitive to price signals so as to allow competition among generators. This article considers pool dispatch only.

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: Empirical
Teacher disagreement score0.241
Threshold uncertainty score0.443

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 head0.204
Teacher spread0.201 · 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