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Record W3216685926 · doi:10.18280/ejee.230508

Dynamic Impact Analysis of Integrating a 6 MW Solar Photovoltaic Power Plant into Medium Voltage Distribution Network

2021· article· en· W3216685926 on OpenAlexvenueno aff
Abbas F.G. Mohmmedali, Messaoud Hamouda, Touhami Ghaitaoui

Bibliographic record

VenueEuropean Journal of Electrical Engineering · 2021
Typearticle
Languageen
FieldEngineering
TopicIslanding Detection in Power Systems
Canadian institutionsnot available
Fundersnot available
KeywordsBusbarPhotovoltaic systemTransient (computer programming)Transient voltage suppressorElectrical engineeringVoltageGridEngineeringAutomotive engineeringGenerator (circuit theory)Environmental sciencePower (physics)Computer sciencePhysicsGeography

Abstract

fetched live from OpenAlex

In this paper, the impact of integrating a 6MW solar PV plant installed in Zaouiet Kounta (Wilaya Adrar), in southwest Algeria into a medium voltage network during transient conditions is analyzed. This network is fed by two sources, either a grid source or a conventional power plant if a grid source is not available. Three different transient circumstances are considered in this analysis. The impact on voltage and frequency at the network’s main busbar as well as generator rotor angle is investigated. The analysis is carried out on the network by using ETAP software. The analysis results showed that the integration of this PV plant has an adverse effect on network performance during transient conditions when a Conventional power plant is used to feed network. Moreover, it has a slight effect on main busbar voltage when a grid source is used to feed network.

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 score0.009
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
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 head0.003
GPT teacher head0.196
Teacher spread0.193 · 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
Published2021
Admission routes1
Has abstractyes

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