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Dynamic simulation of a microgrid system for a university community in Nigeria

2022· article· en· W4283209817 on OpenAlexaff
Stephen Ogbikaya, M. Tariq Iqbal

Bibliographic record

Venue2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS) · 2022
Typearticle
Languageen
FieldEngineering
TopicMicrogrid Control and Optimization
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsMicrogridBackupTransformerMATLABComputer scienceElectric power systemVoltageGridElectrical engineeringTransmission systemAutomotive engineeringEngineeringPower (physics)Transmission (telecommunications)

Abstract

fetched live from OpenAlex

In this research, the optimal PV size of the system was first determined with the aid of OpenSolar, PVWatts and REopt software for an annual energy consumption of 969,000kWh as compared to that obtained from HOMER Pro software. The result obtained was then used to design and simulate the dynamic model of the campus microgrid system in MATLAB/Simulink environment. The designed system in Simulink consists of PV size of 675.2kW comprised of 1350 modules each of 500W, with 25 connected in series and 54 in parallel, a utility grid of 50Hz, 6MVA, 33 kV transmission network with a power transformer of 2.5MVA, 33/11 kV and a distribution transformer of 750 kVA, 11/0.415 kV and a backup generator of 1.5 MVA rating. The system dynamics was considered under three conditions which includes PV + grid mode, PV + generator mode and only generator mode. Simulated results include transient responses observed when the utility grid and the generator were connected to the network separately through their respective toggle switches. Waveform of power, voltage and current through the varied electric load of the system for various conditions are presented in this paper.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.141
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.001
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 head0.009
GPT teacher head0.218
Teacher spread0.209 · 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.

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

Citations3
Published2022
Admission routes1
Has abstractyes

Explore more

Same venue2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)Same topicMicrogrid Control and OptimizationFrench-language works237,207