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Record W1992336566 · doi:10.1109/pedg.2013.6785645

Analysis, design and control of a standalone hybrid renewable energy conversion system

2013· article· en· W1992336566 on OpenAlexaff
Neha Adhikari, Bhim Singh, A. L. Vyas, Ambrish Chandra, Kamal-Al-Haddad

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEnergy
TopicPhotovoltaic System Optimization Techniques
Canadian institutionsÉcole de Technologie Supérieure
Fundersnot available
KeywordsMaximum power point trackingRenewable energyPhotovoltaic systemControl theory (sociology)Power optimizerWind powerController (irrigation)Permanent magnet synchronous generatorComputer scienceVoltageBoost converterEngineeringAutomotive engineeringInverterElectrical engineeringControl (management)

Abstract

fetched live from OpenAlex

This paper deals with the analysis, design and control of a proposed standalone hybrid renewable energy conversion system based on solar and wind energy sources employing a full bridge dc-dc converter and a Permanent Magnet Brush-Less DC (PMBLDC) generator. The proposed MPPT (Maximum Power Point Tracking) controllers of solar-PV (Photo-Voltaic) array and WECS (Wind Energy Conversion System) are operating on P&O (Perturb and Observation) based on FLC (Fuzzy Logic Control) method. It requires the sensing of the dc voltage and current output of solar-PV and the rectified output voltage of PMBLDC generator driven by a wind turbine. The power quality is maintained at the load end by using an output voltage controller of the VSI (Voltage Source Inverter) and the load leveling is implemented through the battery. The model of the system is developed in Matlab and capability of designed MPPT control is investigated during varying solar insolation and wind speeds. Simulation results are presented to demonstrate the performance of proposed system.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.985
Threshold uncertainty score0.951

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)0.0010.000

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 head0.007
GPT teacher head0.193
Teacher spread0.186 · 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 designSimulation or modeling
Domainnot available
GenreMethods

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

Citations15
Published2013
Admission routes1
Has abstractyes

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