Real‐time optimal management of reverse power flow in integrated power and gas distribution grids under large renewable power penetration
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
Exponential penetration of renewable generation has led to the new issues in power distribution systems, such as reverse power flow in the feeders. In the case of sizable distributed generation during lower demand, the power tends to travel in the reverse direction. This, in turn, could cause serious operational issues such as voltage rise, extra heat in the transformers, and maloperation of protective devices. Newly emerging technologies for power‐to‐gas (PtG) conversion are now offering effective solutions to the problem. The proliferation of PtG facilities can lead to the deployment of integrated natural gas and power systems in the near future. PtG and gas‐fired, i.e. gas‐to‐power (GtP), units can be utilised to address several issues in an integrated power and gas network. This study unveils the application of bi‐directional energy converters within an integrated gas and power system for distribution system reverse power management (DSRPM). To that end, a new real‐time algorithm is proposed for optimal joint scheduling of PtG and GtP units for DSRPM. A new index is also developed that would quantify the contribution of the PtG–GtP system to DSRPM. Numerical results using real‐world data on a test system substantiate the effectiveness of the proposed algorithm.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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