Energy management and control of aggregated distributed generations
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
With power deregulation and the formulation of horizontal and competitive electricity market, non-utility-owned distributed generators (DG) are able to feed power into the utility distribution system. Today, the majority of ISOs have established the Demand Response programs to alleviate the transmission bottlenecks and to defer the infrastructure investments, which presents opportunity for distributed generators to bid into short-term forward market, such as day-ahead market, and enjoy the real-time locational market price. This paper proposes an overall framework for the energy management and control of a group of DGs, including wind turbine, photovoltaic, microturbine, and fuel cell energy systems, involved in day-ahead market as one virtual generator in terms of aggregated capacity. The control and communication architecture, operation flow and tasks, and automatic generation control structure will be presented. Potential issues regarding the dispatch algorithms and control performance will be discussed.
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