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Record W2045132773 · doi:10.1109/ccece.2006.277442

Modeling of a Chain Link Statcom in EMTP-RV

2006· article· en· W2045132773 on OpenAlexaff
Nikunj M. Shah, Vijay K. Sood, V. Ramachandran

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMultilevel Inverters and Converters
Canadian institutionsConcordia University
Fundersnot available
KeywordsControl theory (sociology)EmtpThyristorTransient (computer programming)Topology (electrical circuits)Three-phaseController (irrigation)VoltageEngineeringPower (physics)Computer scienceElectric power systemElectrical engineeringPhysicsControl (management)

Abstract

fetched live from OpenAlex

This paper describes an alternative circuit arrangement to form a static synchronous compensator (STATCOM), by connecting a number of gate turn off (GTO) thyristor converter 'chain links' in series per phase on the AC side of the system. Each GTO converter forms one 'link' of a 1-phase bridge voltage-sourced converter (VSC) and is referred to as a 'chain link converter'. In the proposed scheme, each GTO is switched 'ON' and 'OFF' once per cycle of the fundamental frequency by using a sinusoidal pulse width modulation (SPWM) technique. This SPWM technique uses two triangular carrier bands - one positive and one negative - per link, and has a carrier frequency of twice the fundamental frequency and one modulating signal for all the links. A 1-phase, 3-link STATCOM is modelled in EMTP-RV and evaluated. The 1-phase version is suitable for analysis purposes at this stage to gain insight into the operational behavior of this special type of STATCOM. A 3-phase version of this topology will be implemented next. The proposed STATCOM is connected at the end point of a radial transmission line to stabilize the voltage by compensating the reactive power at the point of connection. The performance of this STATCOM is analysed by using open loop control under both steady state and transient operating conditions. An open loop control is employed here as a preliminary step towards the subsequent controller design by evaluating the behavior of the STATCOM for different values of control inputs under different operating conditions. The details of the model along with the results of the preliminary simulation tests in EMTP-RV are presented here

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.

How this classification was reachedexpand

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: Empirical
Teacher disagreement score0.441
Threshold uncertainty score0.284

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 head0.010
GPT teacher head0.188
Teacher spread0.178 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations4
Published2006
Admission routes1
Has abstractyes

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