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Record W6927330579 · doi:10.26190/unsworks/16439

Performance Improvement of Doubly Fed Induction Generator-based Wind Energy Conversion System during Various Internal Converter Faults

2013· dissertation· en· W6927330579 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueUNSWorks (UNSW Sydney) · 2013
Typedissertation
Languageen
FieldEngineering
TopicWind Turbine Control Systems
Canadian institutionsnot available
Fundersnot available
KeywordsFault (geology)Rotor (electric)GridVoltageWind powerControl theory (sociology)CapacitorGenerator (circuit theory)Low voltage ride through

Abstract

fetched live from OpenAlex

The doubly fed induction generator (DFIG)-based wind energy conversion system (WECS) currently dominates the wind energy market due to its advantages over other WECSs. In it, the rotor is interfaced with the AC network through a rotor side voltage source converter (RSC) and a grid side voltage source converter (GSC) which are coupled with a DC-link capacitor that helps to maintain the voltage at the point of common coupling within permissible limits. A DFIG's sensitivity to external faults has motivated researchers to investigate the impacts of various grid disturbances, such as voltage sag, voltage swell and short-circuit faults, on the grid side of its low-voltage ride-through (LVRT) capability. However, no attention has been paid to examining the impacts of RSC and GSC internal faults on the LVRT capability of a DFIG-based WECS. This thesis investigates a new DFIG problem that may frequently occur and proposes a solution to it. In this study, the impacts of various intermittent and sustained internal GSC and RSC faults on the overall performance of a DFIG-based WECS are compared. These faults include a fire-through, misfire, flashover and short circuit across the DC-link capacitor that can be caused by various malfunctions in the control and firing equipment of the converter station. In this context, the effects of the previously mentioned faults on various variables of the DFIG-based WECS are investigated using PSCAD/EMTDC software package. Compliance of the DFIG performance under such faults with the recent LVRT grid codes of the USA, Spain, Mexico, Denmark, Ireland, Germany, Quebec and the UK are also investigated. Two proposed solutions to these problems are introduced; a conventional STATCOM; and a STATCOM with the application of a high temperature superconducting (HTS) coil. The key objectives of the proposed solutions are to improve the LVRT capability of the DFIG and maintain its unity power factor operation during various voltage source converter (VSC) faults. To introduce a general and robust controller that helps to enhance the system’s performance under various faults, the controller parameters are tuned using the Nelder and Mead optimisation technique. This study determines that the effect of internal VSC faults should be considered in the design of a DFIG control system and reactive power compensation must be available to enable the wind turbine to comply with the stringent LVRT specifications enforced by international grid codes. Moreover, a reliable technique for monitoring conditions is necessary to detect these faults in advance in order to prevent their severe consequences.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.556
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.004
GPT teacher head0.172
Teacher spread0.168 · 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