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Record W4410918840 · doi:10.1049/esi2.70008

High‐Power Voltage Source Converter for Integration of Battery in Power System

2025· article· en· W4410918840 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.

Bibliographic record

VenueIET Energy Systems Integration · 2025
Typearticle
Languageen
FieldEngineering
TopicMultilevel Inverters and Converters
Canadian institutionsÉcole de Technologie Supérieure
FundersNational Science CouncilDepartment of Science and Technology, Ministry of Science and Technology, IndiaArthritis National Research Foundation
KeywordsElectrical engineeringBattery (electricity)Power (physics)VoltageBoost converterComputer scienceEngineeringPhysics

Abstract

fetched live from OpenAlex

ABSTRACT To address grid instability caused by intermittent renewable energy, this work proposes utility‐scale battery energy storage (BES) integration using a hybrid multilevel and multipulse voltage source converter (VSC) topology, which overcomes the limitations of conventional converters in efficiency, scalability and harmonic performance for high‐power, high‐voltage applications. VSC employs 13‐level H‐bridge converters and 30‐pulse high voltage converters to mitigate voltage harmonics. By combining multipulse technique with selective harmonics elimination, low total harmonic distortion is achieved for VSC output voltage and grid currents. Utilising multiple cascaded H‐bridge (CHB) converters and transformers increases VSC power and energy capacity for BES plant to deliver energy at a 400‐kV voltage level to grid. A 1000‐MW VSC with a 6000‐MWh BES plant is simulated in MATLAB and implemented on a real‐time platform to study its steady‐state, harmonics and dynamic performances.

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 score0.978
Threshold uncertainty score0.947

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 head0.200
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