Transmission system adequacy evaluation considering wind power
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
There has been a rapid growth of renewable power applications in electrical power generating systems due to concerns over the environment and depleting sources of conventional power generation. Implementation of policies such as the renewable portfolio standard, have mandated many regions around the globe to significantly increase renewable power penetration in electrical power systems. Wind power is the most important renewable energy source in meeting these targets, and its application is increasing rapidly in small power systems and large grid connected systems. Power generated by wind depends on the availability of the wind, which changes intermittently and varies randomly from zero to the rated capacity of the wind farm. It is difficult to assess the capacity credit of a wind farm and the appropriate capacity requirement of transmission facility to transfer wind power to the system load. There is a need to develop realistic reliability/cost evaluation techniques considering wind power in a power system including the transmission system. This paper presents an analytical method to evaluate transmission system adequacy for wind power. The paper illustrates results using an example wind farm. The presented methods and discussions should be useful to power system planners and policy makers.
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