Dynamic simulation of a microgrid system for a university community in Nigeria
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".