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Energy Management Strategy for Supercapacitor in Droop-Controlled DC Microgrid Using Virtual Impedance

2016· article· en· 161 citations· W2401306548 on OpenAlex· 10.1109/tpel.2016.2571308

Why is this work in the frame?

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

Canadian affiliationAn author listed a Canadian institution. This is the only route the usual frame has.
Canadian funderA Canadian agency funded it. The work may carry no Canadian affiliation at all.

Full frame distilled prediction

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.

Candidate categories
none
Consensus categories
none
Domain
Candidate signal: noneConsensus signal: none
Study design
Candidate signal: Simulation or modelingConsensus signal: Simulation or modeling
Genre
Candidate signal: EmpiricalConsensus signal: none
Teacher disagreement score
0.944
Threshold uncertainty score
0.909
Validation status
machine_predicted_unvalidated · codex-gemma-dda1882f352a

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)

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

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.

Opus teacher head0.007
GPT teacher head0.208
Teacher spread
0.201 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Abstract

With a proper energy management strategy (EMS), supercapacitor can be integrated into droop-controlled dc microgrid as an independent supercapacitor energy storage system (SCESS). The resulted microgrid could supply repeatedly quick bursts of electrical power due to load or source transients and improve power quality and lifetime of other distributed generations (DGs) or distributed energy storages. In this paper, a novel control strategy for SCESS is proposed. The method uses the virtual impedance loop to add a virtual resistor and a virtual capacitor connected in series between the converter and dc bus, which decouples power flow between SCESS and other DGs while ensuring the plug `n' play feature. The results show that the proposed EMS has a competing dynamic performance with excellent flexibility as compared to existing methods.

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.

The record

Venue
IEEE Transactions on Power Electronics
Topic
Microgrid Control and Optimization
Field
Engineering
Canadian institutions
University of Alberta
Funders
Natural Sciences and Engineering Research Council of Canada
Keywords
MicrogridVoltage droopSupercapacitorEnergy storageCapacitorConvertersEnergy managementDistributed generationComputer sciencePower (physics)EngineeringElectrical engineeringElectronic engineeringEnergy (signal processing)VoltageVoltage sourceCapacitanceRenewable energy
Has abstract in OpenAlex
yes