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Record W2555405094 · doi:10.1109/pesgm.2016.7741281

A voltage-based frequency controller for inverter-based systems in microgrids

2016· article· en· W2555405094 on OpenAlex
Mostafa Farrokhabadi, Claudio A. Cañizares, Kankar Bhattacharya

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.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMicrogrid Control and Optimization
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsInverterController (irrigation)VoltageAutomatic frequency controlControl theory (sociology)Voltage regulationComputer scienceVoltage controllerBenchmark (surveying)Renewable energyEnergy consumptionEngineeringControl engineeringElectronic engineeringVoltage regulatorVoltage droopControl (management)Electrical engineeringTelecommunications

Abstract

fetched live from OpenAlex

This paper presents a novel voltage-based controller for frequency control in inverter-based isolated microgrids through load voltage regulation. The proposed controller, described here in detail, makes use of the load sensitivity to operating voltage to regulate load consumption. The performance of the controller is evaluated and validated through simulation studies on PSCAD/EMTDC based on medium voltage distribution network benchmark. The controller offers two significant advantages: it decreases the system dependency on energy storage systems, and allows for higher penetration of renewable energy and hence less fuel consumption. The controller only requires a local feedback signal, and hence no extra communication infrastructure is needed.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.990
Threshold uncertainty score0.451

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 head0.007
GPT teacher head0.182
Teacher spread0.175 · 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

Quick stats

Citations11
Published2016
Admission routes1
Has abstractyes

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