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Record W2099961809

Manitoba Hydro wind power reserve requirements

2009· article· en· W2099961809 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

Venue2009 CIGRE/IEEE PES Joint Symposium Integration of Wide-Scale Renewable Resources Into the Power Delivery System · 2009
Typearticle
Languageen
FieldEngineering
TopicElectric Power System Optimization
Canadian institutionsManitoba Hydro
Fundersnot available
KeywordsWind powerHydro powerEnvironmental scienceNatural resource economicsEngineeringEconomicsEnvironmental engineeringElectrical engineering
DOInot available

Abstract

fetched live from OpenAlex

There is a strong public and political desire to incorporate wind power in most grids including that of Manitoba Hydro. This paper describes Manitoba Hydro's plans to incorporate wind power over the next 20 years and the associated wind integration costs. Since Manitoba Hydro currently has excess hydro power that supplies a domestic load of approximately 20 TWh/year and 10 TWh/year of export power sales, any new power source (hydro, wind, etc.) added between now and 2020–2024 must be sold on the export power market. It is for this reason that Manitoba Hydro must pay “great” attention to the costs associated with purchasing and integrating locally produced wind power before reselling it on the export market. Manitoba Hydro desires to pass on the maximum value to wind developers less its direct cost such as the shaping and firming costs and wind integration costs. The Manitoba Hydro wind integration costs are considered specific to Manitoba Hydro, since the ability to provide reserves and the Manitoba Hydro response to hydraulic inefficiencies is unique to Manitoba Hydro. The wind integration impacts and related costs were studied over low, medium, and high water supply conditions. Additional reserves are required because of wind volatility and wind generation forecast error. Reductions in wind generation are of the most concern because other generation must be increased to counter balance the shortfall in wind generation.

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)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.218
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.010
GPT teacher head0.204
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