MétaCan
Menu
Back to cohort
Record W4239661842 · doi:10.32920/ryerson.14665410.v1

Modeling and Analysis of a Flywheel Energy Storage System for Voltage Regulation

2021· preprint· en· W4239661842 on OpenAlexaboutno aff
Kamran Masteri Farahani

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEnergy
TopicPower Systems and Renewable Energy
Canadian institutionsnot available
Fundersnot available
KeywordsWind powerRenewable energyFlywheelEnergy storageStand-alone power systemIntermittent energy sourceElectricityFlywheel energy storageMains electricityAutomotive engineeringElectrical engineeringVoltageGridEngineeringEnvironmental sciencePower (physics)Distributed generationPhysics

Abstract

fetched live from OpenAlex

Ontario in 21st century is progressing rapidly to source a bulk of its energy supply from green and renewable energy sources, including wind energy. However there are technical challenges. A significant limiting factor in the large-scale integration of wind energy is the inherent intermittent nature of wind supply. The purpose of the research project is to develop appropriate control systems to integrate energy storage into the Ontario electricity grid given that energy storage constitutes a fundamental component of a modernized electricity grid. The challenges are multiple. Given that wind generators driven by wind have an output that is intermittent and highly variable, as a result the power supply voltages on distribution lines change at a rapid rate. This research develops a control strategy for the flywheel system to inject or draw real power to or from the connected line on a voltage command, thereby mitigating voltage swings created by variable and intermittent power supply from wind generators.

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 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: Empirical · Consensus signal: none
Teacher disagreement score0.936
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.017
GPT teacher head0.231
Teacher spread0.214 · 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 teacher head, not a consensus.

Study designSimulation or modeling
Domainnot available
GenreEmpirical

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

Citations3
Published2021
Admission routes1
Has abstractyes

Explore more

Same topicPower Systems and Renewable EnergyFrench-language works237,207