Hardware-in-the-loop simulation of a pumped storage hydro station
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.
Bibliographic record
Abstract
This article describes how a real-time, nonlinear computer model of the Dinorwig pumped storage hydroelectric scheme has been interfaced with an actual system governor to produce a hardware-in-the-loop (HIL) simulation. The HIL simulator is used for model validation and as a means of testing governor modifications. The hardware and software used to implement the simulator are presented. Initially, the plant model is controlled by a governor model, rather than the actual governor, allowing a satisfactory real-time sample rate to be selected. The model governor is subsequently replaced with the real governor, and comparing the system responses shows that there is good agreement, thus confirming that the model is a valid representation for use in offline simulation and control analysis. The HIL simulation is then used to predict the responses to standard tests, which are compared with measured results from the plant. Again, there is good agreement, showing that the HIL simulation can be used to forecast the effect of changes in the governor hardware and/or software prior to commissioning on the plant itself.
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 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 | 0.000 | 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 | 0.000 |
| 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 it