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Record W4403092061 · doi:10.5935/jetia.v10i49.1151

Load flow, short circuit and motor starting studies in electrical power substations

2024· article· en· W4403092061 on OpenAlexaff
M. Mohan

Bibliographic record

VenueITEGAM- Journal of Engineering and Technology for Industrial Applications (ITEGAM-JETIA) · 2024
Typearticle
Languageen
FieldEngineering
TopicPower System Optimization and Stability
Canadian institutionsFord Motor Company (Canada)
Fundersnot available
KeywordsShort circuitElectrical engineeringPower flowElectrical loadAutomotive engineeringPower (physics)Flow (mathematics)Computer scienceEngineeringElectric power systemVoltagePhysicsMechanics

Abstract

fetched live from OpenAlex

Power system studies are essential for the proper planning and design of electrical power substations. This paper presents the load flow, short circuit, and motor starting studies for 33/6.6/0.44 kV electrical power substation. In this paper, the load flow study calculates the active power, reactive power, and bus voltage at various locations of the substation under various operating conditions and configurations. The short circuit study evaluates the transient performance of the substation under various fault conditions such as phase-to-ground fault and three-phase-to-ground fault cases. The motor starting studies analyze the transient performance of the substation while switching the induction motors. The modeling of 33/6.6/0.44 kV electrical power substation and simulation case studies are performed in PSCAD/EMTDC software. The simulation results show the steady state and transient performance of the substation under such scenarios.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.007
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.040
GPT teacher head0.277
Teacher spread0.237 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2024
Admission routes1
Has abstractyes

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