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Record W2034664686 · doi:10.1109/epec.2010.5697211

Utilization of the Modulated Power Filter Compensator scheme for a grid connected rural hybrid wind/tidal energy conversion scheme

2010· article· en· W2034664686 on OpenAlexaff
T. Aboul-Seoud, A.Μ. Sharaf

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicWind Turbine Control Systems
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsWind powerRenewable energyControl theory (sociology)Wind speedTidal powerComputer sciencePower (physics)GridController (irrigation)Environmental scienceAutomotive engineeringEngineeringElectrical engineeringMeteorologyControl (management)PhysicsMathematics

Abstract

fetched live from OpenAlex

Renewable energy is a cheap, clean and abundant source of energy that can be used to feed isolated loads as well as grid connected ones. Wind energy and tidal energy are two popular forms of renewable energy. The variation of output power with the continuous variation of tides or wind speed can cause significant power quality issues. This paper studies a network presenting a rural load, such as a small village, fed from a hybrid wind/tidal turbines that are connected to a weak grid. The effect of the variation in tides and wind speed on the power quality is illustrated via simulation. The introduction of the Modulated Power Filter Compensator (MPFC) to the network establishes a significant improvement to the power quality. The proposed MPFC is a cheap and robust FACTS based device. It is controlled via a tri-loop dynamic error-driven PI controller. This scheme proved its ability to introduce a significant improvement which is illustrated via comparing the simulation results of the studied network with and without the MPFC.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.605
Threshold uncertainty score0.611

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 head0.008
GPT teacher head0.193
Teacher spread0.184 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations5
Published2010
Admission routes1
Has abstractyes

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