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Record W2516471531 · doi:10.1109/jestpe.2016.2601097

Energy Management Strategy of Multiple Supercapacitors in a DC Microgrid Using Adaptive Virtual Impedance

2016· article· en· W2516471531 on OpenAlex

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueIEEE Journal of Emerging and Selected Topics in Power Electronics · 2016
Typearticle
Languageen
FieldEngineering
TopicMicrogrid Control and Optimization
Canadian institutionsUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMicrogridEnergy storageSupercapacitorConvertersComputer scienceEnergy managementEnergy management systemTransient (computer programming)Distributed generationState of chargeBattery (electricity)Power (physics)Power managementElectrical impedanceElectrical engineeringElectronic engineeringEnergy (signal processing)Automotive engineeringEngineeringRenewable energyVoltageCapacitance

Abstract

fetched live from OpenAlex

Supercapacitors (SCs) are increasingly used in energy storage system to tackle the fast power transients. They can be used individually or together with other energy storage units like batteries. In a microgrid, multiple SCs could be installed at different locations without communications among them. This paper focuses on the energy management strategy (EMS) of multiple SCs in a dc microgrid, where the distributed generation units and energy storage units are controlled with the plug-and-play feature. A novel EMS is proposed, which uses the state-of-charge-based adaptive virtual impedance to facilitate the transient power sharing among the parallel SCs without physical communications. The detailed analysis and design procedure are explained based on an example microgrid system with two SCs and one battery energy storage connected in parallel through the dc/dc converters. The effectiveness of the proposed method is verified by both simulation and experimental results.

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: Empirical
Teacher disagreement score0.424
Threshold uncertainty score0.496

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 head0.206
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