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Record W1949891758 · doi:10.1109/ecce.2015.7310599

Real-time testing of power control implemented with IEC 61850 GOOSE messaging in wind farms featuring energy storage

2015· article· en· W1949891758 on OpenAlexaff
Diego Mascarella, Martine Chlela, G. Joós, Philippe Venne

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicReal-time simulation and control systems
Canadian institutionsHydro-QuébecMcGill University
Fundersnot available
KeywordsIEC 61850Wind powerFlickerController (irrigation)Real Time Digital SimulatorEngineeringTurbineAC powerAutomotive engineeringElectrical engineeringElectric power systemVoltagePower (physics)Computer science

Abstract

fetched live from OpenAlex

The interconnection of Type-4 wind farms into weak distribution feeders may result in voltage rise and flicker concerns. This paper investigates a wind farm control scheme employing a slow-acting reactive power controller to regulate the steady-state voltage at the point of common coupling (PCC) and a fast-acting active power controller, streaming from an embedded energy storage system (ESS) to mitigate flicker at the wind turbine terminals. Real-time hardware-in-loop (HIL) results have been obtained for the proposed power control strategy, emulating the distribution-feeder and wind turbines on a real-time digital simulator (RTDS) and the power control loops on a digital controller, communicating using the IEC 61850 GOOSE Messaging protocol. Flicker studies are conducted on a 25 kV distribution feeder using a flickermeter compliant to the IEC 61000-4-15 standard. Results demonstrate a short-term flicker level reduction up to 83%. Applicable utility grid codes and standards are considered throughout.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.167
Threshold uncertainty score0.781

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 head0.010
GPT teacher head0.213
Teacher spread0.202 · 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 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

Citations8
Published2015
Admission routes1
Has abstractyes

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