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Record W1576225910 · doi:10.1109/ever.2015.7112979

H∞ structured design of a cascaded voltage/current controller for electronically interfaced distributed energy resources

2015· article· en· W1576225910 on OpenAlex
Allal M. Bouzid, Mohammad S. Golsorkhi, Pierre Sicard, A. Chériti

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 institutionsUniversité du Québec à Trois-Rivières
Fundersnot available
KeywordsVoltage droopController (irrigation)Control theory (sociology)VoltageMATLABInverterComputer scienceVoltage controllerFlexibility (engineering)Electronic engineeringControl engineeringEngineeringVoltage regulatorControl (management)Electrical engineering

Abstract

fetched live from OpenAlex

In this paper a new controller design method for inverter-based distributed energy resources in standalone microgrids is proposed. The objective of the design is to exploit the flexibility and fast dynamics of the voltage inverter. The proposed control method is composed of droop, voltage and current controllers. The droop controller is based on V-I droop characteristics, and exhibits significantly faster dynamics compared to the conventional droop method. The voltage and current controllers utilize the structured H∞ PI regulation strategy to track the reference voltage and current. The PI controller parameters are tuned using Hinfstruct optimization function from the MATLAB® Robust Control Toolbox. The performance of the closed-loop system is analyzed to illustrate the capabilities of the new technique. Simulation results are presented to prove validity and verify the efficiency of the proposed control.

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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.994
Threshold uncertainty score0.477

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 head0.016
GPT teacher head0.215
Teacher spread0.199 · 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

Citations13
Published2015
Admission routes1
Has abstractyes

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