ANALISIS ENERGI LISTRIK PLTS ON-GRID DENGAN BOOST CONVERTER DAN INVERTER BERBASIS MATLAB/SIMULINK
Bibliographic record
Abstract
Penelitian ini membahas analisis energi listrik pada pemodelan & simulasi MATLAB/Simulink pada PLTS on-grid menggunakan boost converter dan inverter untuk mensuplai beban listrik rumah tangga 220V satu fasa AC, berlokasi di Samarinda, Kalimantan Timur. Pemodelan & simulasi berdasarkan konfigurasi PLTS on-grid dengan boost converter dan inverter sesuai kebutuhan daya beban listrik rumah satu fasa. PLTS didesain memiliki jam operasional total 288,597653 Ah dan memerlukan arus 65,59 A. Panel surya yang digunakan, Canadian Solar Modul CS60-300P, dengan 5 modul seri, 8 modul paralel, total 40 modul. Total daya listrik beban harian 4.718,49 W, dan total konsumsi energi listrik harian 46,397 kWh. Hasil simulasi, pada sisi keluaran panel PV, diperoleh Vrms 119,7 V, Irms 109.6 A, daya aktif 4.944 W. Pada sisi keluaran inverter, diperoleh Vrms 128,9 V, Irms 37,61 A, daya aktif 315,1 W, daya reaktif 873,6 VAR, pf = 0,3445, f = 49,99 Hz. Pada sisi keluaran beban grid, diperoleh Vrms 220,0 V, Irms 37,6 A, daya aktif 4.555 W, daya reaktif 4.388 VAR, pf = 0,7201 dan f = 50 Hz. Juga diperoleh, rugi-rugi daya 389 W, dan η = 92,13%.
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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) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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; both teacher heads agree on what is shown here.
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".