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Record W2611203539 · doi:10.1109/pedes.2016.7914334

Wind-PV based microgrid and its synchronization with utility grid

2016· article· en· W2611203539 on OpenAlex
Geeta Pathak, Bhim Singh, Bijaya Ketan Panigrahi, Ambrish Chandra, Kamal Al‐Haddad

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMicrogrid Control and Optimization
Canadian institutionsÉcole de Technologie Supérieure
FundersDepartment of Science and Technology, Ministry of Science and Technology, India
KeywordsMicrogridWind powerRenewable energyPhotovoltaic systemSynchronization (alternating current)Computer sciencePower BalanceGridVoltage sourceBattery (electricity)MATLABControl theory (sociology)Power (physics)Automotive engineeringVoltageElectrical engineeringEngineeringControl (management)Topology (electrical circuits)

Abstract

fetched live from OpenAlex

In this paper, a renewable energy based wind-PV microgrid is investigated for seamless transfer between the grid connected and isolated modes according to the grid availability. The VSC (Voltage Source Converter) based voltage and current controls are used to provide smoothness in both the operations. A battery bank is connected at the DC bus of VSC for load leveling during low power generations or peak load conditions. The control algorithms for VSC are capable of providing power balance and power quality solutions to the microgrid. A MATLAB/Simulink model is developed for the three phase wind-solar PV based microgrid. Detailed results are presented during wind variations and during synchronization and de-synchronization processes.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.818
Threshold uncertainty score0.348

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 head0.004
GPT teacher head0.158
Teacher spread0.154 · 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

Quick stats

Citations11
Published2016
Admission routes1
Has abstractyes

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