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Record W4400229229 · doi:10.1109/tec.2024.3422132

Maximizing Synchronous Condensers' Capability to Stabilize Inverter-Based-Resource-Penetrated Grids

2024· article· en· W4400229229 on OpenAlexaff
Bao Li, Lingling Fan, Zhixin Miao

Bibliographic record

VenueIEEE Transactions on Energy Conversion · 2024
Typearticle
Languageen
FieldEngineering
TopicMicrogrid Control and Optimization
Canadian institutionsNutrasource
Fundersnot available
KeywordsInverterComputer scienceResource (disambiguation)Synchronous motorAutomotive engineeringControl engineeringElectrical engineeringEngineeringVoltage

Abstract

fetched live from OpenAlex

Synchronous condensers (SynCons) have been deployed in power grids penetrated by inverter-based resources (IBRs) worldwide to strengthen and stabilize the grids. This paper examines which machine parameters influence IBR weak grid stability and whether excitation systems also play a role. Four types of stability scenarios are examined, including transient stability, oscillations of a few Hz, oscillations near 9 Hz, and dynamic voltage stability. It is shown that the most influential machine parameter varies for the different types of stability issues. While minimization of field winding inductance (typically the major component of the machine transient reactance, <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$X^{\prime }_{d}$</tex-math></inline-formula>) can significantly improve transient stability, voltage stability, and low-frequency oscillatory stability, this parameter has no influence on relatively rapid oscillations. On the other hand, minimizing rotor damper winding inductance (typically the major component of the machine subtransient reactance, <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$X^{\prime \prime }_{d}$</tex-math></inline-formula>) improves the 9-Hz oscillation stability, but with insignificant influence on the other three types of stability. Furthermore, the excitation system characteristics show negligible influence for any of the scenarios. In addition to the simulation studies, we show how the operational reactances are associated with the machine's <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$dq$</tex-math></inline-formula> impedance viewed from the terminal bus and how a SynCon reduces the equivalent grid impedance, thereby improving weak grid stability. Finally, it is concluded that minimization of both transient and subtransient direct-axis reactances should help in a range of stability scenarios, while cautions should be taken when dealing with quadrature-axis transient reactances.

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: Empirical · Consensus signal: none
Teacher disagreement score0.940
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
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.006
GPT teacher head0.186
Teacher spread0.180 · 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
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

Citations13
Published2024
Admission routes1
Has abstractyes

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