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Record W2104582756

Technical requirements for high-penetration wind : What system operators need, and what wind technology can deliver

2009· article· en· W2104582756 on OpenAlexaff
Paul Gardner, M. Tremblay, D Price

Bibliographic record

Venue2009 CIGRE/IEEE PES Joint Symposium Integration of Wide-Scale Renewable Resources Into the Power Delivery System · 2009
Typearticle
Languageen
FieldEngineering
TopicWind Turbine Control Systems
Canadian institutionsKuraray (Canada)
Fundersnot available
KeywordsWind powerElectricityElectricity systemGridTurbineEngineeringComputer scienceSystems engineeringRisk analysis (engineering)Electricity generationElectrical engineeringMechanical engineeringBusinessPower (physics)
DOInot available

Abstract

fetched live from OpenAlex

As wind penetration levels increase, the effects on the electricity system increase, and therefore the technical characteristics of the wind generation become more important. In addition, many modern wind turbines could in principle behave unlike conventional synchronous generators, raising new problems and perhaps providing new benefits to the system. Electricity system operators are responsible for the satisfactory operation of their electricity systems in normal and abnormal conditions. In order to achieve this, they define technical requirements which all parties connected to their system must follow. These technical requirements can take several forms but are commonly referred to as 'grid codes'. This paper approaches the issues by considering the fundamental technical requirements of system operators. This is compared with current and possible future technical capabilities of wind turbine technology.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.009
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.012
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0030.005
Open science0.0010.001
Research integrity0.0030.001
Insufficient payload (model declined to judge)0.0090.006

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 head0.007
GPT teacher head0.201
Teacher spread0.194 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreMethods

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations16
Published2009
Admission routes1
Has abstractyes

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Same venue2009 CIGRE/IEEE PES Joint Symposium Integration of Wide-Scale Renewable Resources Into the Power Delivery SystemSame topicWind Turbine Control SystemsFrench-language works237,207