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Record W2546611381 · doi:10.1109/ccece.2016.7726734

Design and implementation of a highly reconfigurable microgrid test bed platform

2016· article· en· W2546611381 on OpenAlex
Marten Pape, Mahmoud A. Allam, Mehrdad Kazerani

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
KeywordsMicrogridReconfigurabilityEmulationInverterFlexibility (engineering)GridComputer scienceController (irrigation)Embedded systemControl engineeringEngineeringVoltageElectrical engineering

Abstract

fetched live from OpenAlex

This paper presents the design of a Microgrid test bed platform. The aim of this test bed is to provide a real-time verification and simulation tool for islanded Microgrids. The main characteristics are high architectural flexibility, high reconfigurability of the simulated Microgrid, and low number of inverters required to simulate an islanded Microgrid in hardware. The test bed is composed of a number of unified inverter modules (simulation modules), each simulating one grid participant. Each simulation module consists of a three-phase voltage source inverter, a local controller and a real-time emulation of several generation plants. This approach allows a wide range of studies in Microgrid control and inverter control for Distributed Generation. This paper describes the test bed platform and demonstrates an implementation with four grid participants.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.375
Threshold uncertainty score0.311

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 head0.201
Teacher spread0.193 · 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

Citations9
Published2016
Admission routes1
Has abstractyes

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