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Conventional Protection Approach for Microgrids Considering all types of Phase faults for both Grid Connected and Islanded Mode

2023· article· en· W4391094339 on OpenAlexaboutno aff
Muhammad Nouman Khan, Muhammad Numan, Muhammad Furqan Hameed, Wajid Ali, Ahmad Hayyat, Ahsan Sultan Kiani

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicPower Systems Fault Detection
Canadian institutionsnot available
Fundersnot available
KeywordsGridMode (computer interface)MicrogridComputer sciencePhase (matter)PhysicsMathematics

Abstract

fetched live from OpenAlex

Microgrids, now a days are attracting the Power system designer’s interest as they have capability to provide power in island mode by disconnecting from utility grid in case if any major fault occurs to utility. Fossil fuels utilization for power generation is harmful for environment while Microgrids are echo friendly as they encourage the use of Renewable Energy. During the planning of a Microgrids, the Protection design is major concern for their reliable operation. Due to presence of Distributed Energy Resources inside Microgrids the current flow direction doesn’t remain conventional (from utility to load), hence an intelligent protection scheme is required. After the transition from grid connected to island mode the fault currents magnitude drastically changes which affects the protection because the over current relays inside microgrid are set on high pickup current values. In this paper a robust low cost and efficient current controlled undervoltage protection scheme is introduced which use locally measured current and voltage and make tripping decision to ensure the protection under island as well as Grid-connected mode and don’t require any communication channel. This protection scheme is tested on 9-Bus Canadian Urban Benchmark Distribution System developed on ETAP Software.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.844
Threshold uncertainty score0.461

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 integrity0.0000.000
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 head0.035
GPT teacher head0.288
Teacher spread0.252 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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
Published2023
Admission routes1
Has abstractyes

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