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Record W4238313520 · doi:10.32920/ryerson.14647311.v1

Cascaded H-Bridge Multilevel Inverter Based Statcom with a Novel DC-Voltage Detection Technique

2021· preprint· en· W4238313520 on OpenAlexaff
Yidan Li

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEngineering
TopicMicrogrid Control and Optimization
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsVoltageCapacitorTotal harmonic distortionInverterH bridgeEngineeringVoltage dividerElectrical engineeringComputer scienceElectronic engineeringControl theory (sociology)Control (management)

Abstract

fetched live from OpenAlex

This thesis is dedicated to a comprehensive study of state synchronous compensator (STATCOM) utilizing cascaded H-bridge (CHB) multilevel inverter. Two challenging problems exist in the CHB-based STATCOM. Firstly, unbalanced voltages across de capacitors of H-bridge units would occur because a large number of capacitors are utilized in the CHB inverter for high-voltage operation. The de capacitor-voltage unbalance may result in uneven voltage stress on swithces and the distortion of inverter output voltage due to the degradation of total harmonic distortion (THD). Secondly, all de-voltages should be measuresed and controlled separately to perform de capacitor-voltage balance control. In doing so, a large number of voltage sensors are requuired, which increases the cost and complexity of the SATACOM system. Therefore, the main objectives of this thesis are to develop new techniques for the balance of de capacitor voltages and reduction of the number of voltage senors used in the CHB-based STATCOM system. Therefore, the main objectives of this thesis are to develop new techniques for the balance of de capacitor voltages and reduction of the number of voltage sensors used in the CHB-based STATCOM system. A novel de-voltage detection technique, referred to as single multiple-voltage (SMV) detector, is developed to obtain de voltages of all H-bridges. The proposed SMV algorithm can substantially reduce the number of voltage sensors. Only three voltage sensors are needed to obtain all de capacitor voltages from the measured inverter output voltage. As a result, the CHB-based STATCOM with SMV detector reduces the cost and complexity of the system. The system reliability is enhanced as well. Furthermore, this technique can be extended to the STATCOM with high-level CHB inverter and suitable to high-voltage high-power applications. A new de-voltage balance control method is proposed to assure balanced voltages accross all capacitors in the CHB inverter. The method combines the phase shifting technique and sinusoidal pulse modulation strategy for the de-voltage control. PI refulators in all control loops can be identical due to the modular structure of CHB topology and phase-shifted PWM strategy. This feature makes the de capacitor-voltage balance easy to be implemented. To verify the performance of the CHB-based STATCOM and the effectiveness of the proposed STATCOM shows superior performance in steady-state operation and can rapidly respond to the reactive power demand as well. All individual de-voltages can be detected accurately from the SMV detector without direct de-voltage measurement. With the detected de-voltages, all capacitor de-voltages can be well balanced based on the proposed de-voltage balance control method.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.943
Threshold uncertainty score1.000

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 integrity0.0000.001
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 head0.013
GPT teacher head0.199
Teacher spread0.186 · 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.

Study designSimulation or modeling
Domainnot available
GenreMethods

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

Citations0
Published2021
Admission routes1
Has abstractyes

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